FDE Times

Introduction We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place. About the Role Production experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers — experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment — shipping solutions customers depend on. The Builder Experience AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day-to-day workflow. Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself. Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months — spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them. Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers. What You'll Actually Be Building Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output. Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. You're Our Forward Deployed Engineer If... You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models. You have a degree in Computer Science or a related field. You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have. You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands. You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them. You can hold your own in a room with sales teams and customer architects. You ship quality code and evaluate AI outputs with engineering rigor. You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. You thrive in the group chat that's building something, not just talking about it. You're excited to travel ~25% of the time, working directly alongside customers. You are a English and Polish speaker. Nice-to-Haves Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery) Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? About the Role We're building a Healthcare Vertical Solutions team that turns AI-powered automation into measurable revenue cycle outcomes for health systems and payers. We're looking for a Forward Deployed Strategist to embed with our customers, take our RCM solutions — denials management, prior authorization, claims submissions, referral management, and more — from concept to scaled, hardened deployment, and feed everything we learn back into the product. This is a hybrid role at the seam between product, customer, and delivery. You'll be the person who understands a customer's revenue cycle process, identifies where our software has the biggest impact, builds and iterates with users to make sure the solution actually works for them, and represents UiPath with senior client leadership. You'll sit on the same team as our Healthcare Solutions PMs and work in lockstep with them. What You'll Do Customer Discovery & Solution Design Deeply understand each client's RCM operations — workflows, systems, people, pain points — and identify where UiPath's solutions can drive the highest-impact outcomes Design user-centric applications around the problems and gaps in their existing workflow Translate messy real-world processes into clear, repeatable solution patterns Build, Iterate, and Scale Implement UiPath's HLS solutions and other UiPath product capabilities in customer environments — configure, integrate, and adapt to local workflows Iterate rapidly with end users to validate that what we're building is what they actually want and need Scale validated solutions across customer locations and downstream customers; establish repeatable deployment playbooks Customer Relationship & Executive Engagement Manage the day-to-day client relationship and drive adoption across user teams Represent UiPath with senior client leadership — VPs of Revenue Cycle, CFOs, CIOs, CMIOs — and translate executive priorities into deployment decisions Own project timelines, milestones, and deliverables end-to-end Product Feedback Loop Partner closely with Healthcare Solutions PMs and engineering to surface gaps, validate hypotheses, and shape the product roadmap with field signal Capture and codify learnings so each deployment makes the next one faster What You'll Bring Required Qualifications 5+ years working in healthcare revenue cycle management — at a health system, payer, EHR vendor, consulting firm, or implementation partner Hands-on RCM process expertise: claims submission, denials categorization and resolution, prior authorization, charge capture, payer policy logic Direct experience implementing software solutions inside health systems or payers — you've owned a deployment, not just observed one Comfort working at the intersection of technology, operations, and clinical/administrative workflows Strong project management instincts and customer-facing communication skills — you can run a workshop with VPs and a working session with end users in the same day Strategic thinking paired with willingness to roll up your sleeves and build Working knowledge of HL7, FHIR, HIPAA, and CMS rules Comfort with ambiguity, rapid iteration, and shipping over polishing Maybe you don't tick all the boxes above—but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA Finance is hiring a Forward Deployed Engineer and AI Enabling expert to help turn that potential into measurable business outcomes. Embedded within the Finance AI team, you will work at the intersection of a high variety of finance functions at NVIDIA, data platform teams, and applied AI. You will partner with finance leaders, subject-matter experts, data scientists, data engineers, DevOps engineers, AI citizen developers, knowledge workers, and external vendors to discover high-value opportunities, build trusted solutions, and help teams adopt new ways of working. This is a hands-on role for someone who can move comfortably from an ambiguous business problem to a working prototype, a production-ready solution, and sustained adoption. You will combine technical depth, business-savvy thinking, program leadership, and a strong teaching capacity to enable AI across our Finance organization. What you'll be doing Translate complex finance workflows and ambiguous business problems into clear requirements, technical designs, success measures, and delivery plans — guiding architecture across data, models, APIs, orchestration, UX, and human-in-the-loop controls. Prototype and productionize AI solutions: agents, retrieval-augmented generation, workflow automation, analytics, and ML applications. Partner with data owners and platform teams to securely integrate structured and unstructured data, set access controls, and improve data quality and lineage. Lead technically and organizationally complex initiatives from discovery to launch, balancing experimentation with enterprise scale, security, governance, and maintainability. Build reusable reference architectures, patterns, and enablement assets, and communicate recommendations, tradeoffs, and results to audiences from finance operators to executives and engineers. What we need to see Hands-on Python, SQL, and Git, with Databricks or a comparable cloud data and AI platform. Practical experience building and deploying modern AI — LLMs, prompt/context design, agents, MCPs, and evaluations — and integrating applications via APIs across structured and unstructured data. Strong product and program judgment: create clarity from ambiguity, define an MVP, manage dependencies and risk, and deliver iteratively. Working knowledge of responsible AI, privacy, security, and governance, with excellent communication that teaches technical concepts to nontechnical audiences and influences across functions without formal authority. 3+ years in computer science, data science/engineering, analytics, automation, or applied AI. A BS or MS degree in Data Science, Computer Science, Engineering, Economics, Finance, Business Analytics, or a related field, or equivalent experience. Ways to stand out from the crowd Applied AI, automation, or advanced analytics to tax, corporate development, treasury, venture capital, financial services, procurement, audit, or related areas. Designed agentic workflows and securely connected models to enterprise systems like SAP, SFDC, or Workday. Built communities of practice and taught varied technical audiences, using feedback and adoption data to improve enablement. Experience in a large, global technology company or another complex, high-growth environment. A collaborative, customer-focused approach and demonstrated ability to influence across functions without relying on formal authority. Curiosity, sound judgment, and a bias toward learning through experimentation while maintaining high standards for quality and trust. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 184,000 USD for Level 2, and 152,000 USD - 230,000 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Why Harvey At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we're just getting started. Role Overview Harvey's Finance Engineering team is the investment-side counterpart to our Legal Engineering team: former investment professionals who bring real deal experience to Harvey's prospects and customers. Forward Deployed Finance Engineers lead discovery, demos, pilots, trainings, onboarding, and custom builds alongside our AEs and CSMs. They translate real investment work into Harvey solutions, serving as the trust layer across the entire customer lifecycle, from the first pilot to the most complex, custom-built workflow. Finance Engineers work on Harvey Deals, a new product built off of Harvey's acquisition of Benchmark. Harvey Deals is where investment teams run their deals — screening, underwriting, diligence, and committee materials — built in the firm's own templates and formats, with every figure traceable back to the document it came from. Harvey works with 150+ asset management firms and analyzes 178M+ documents each month; the Finance Engineering team is how that capability meets the way deal teams actually work. Finance Engineers understand how investors think and work, and use that expertise to design, build, and refine solutions that hold up under live deal pressure. In doing so, they don't just drive adoption; they shape Harvey's product roadmap, ensuring every release is grounded in what investment teams actually need. It's a team built to make Harvey the platform investment teams can trust with their most important work. This role is the first Finance Engineer dedicated to private credit. You will build the credit playbook — demo library, workflow templates, use cases — while running live pilots, and lead the credit practice as the team grows. You may be asked to travel around 2–3+ times per month. Travel is always for a significant business need and typically is for 1–3 days at a time. What You'll Do Forward Deployed Finance Engineers on the private credit team are former credit investors who left the desk to help build the future of how credit gets underwritten. Working closely with Account Executives, they engage with direct lenders, opportunistic and specialty finance managers, BDC managers, and insurer credit arms throughout the pre-sales process and stay with them well past it — leading pilots on live opportunities, guiding lenders through what's possible with AI, and sitting down with credit teams to build screening, underwriting, and credit committee workflows in the firm's own templates and formats. The work is the work they did on the desk: lender presentation and CIM review; QoE read-throughs and data pack analysis; cash flow and leverage modeling; sizing and structuring; covenant and credit agreement review; credit memo drafting; and comps. It continues post-close into compliance certificate review, covenant tracking, amendment and waiver analysis, and quarterly portfolio reporting, so value compounds after the first deal. Along the way, Finance Engineers bring credit-team feedback back into the product, helping shape the future of Harvey. What You Have 6+ years on the investment or underwriting team at a direct lender, private credit fund, BDC manager, or insurer private credit arm, with demonstrated ownership of live deal work: screening, underwriting, diligence workstreams, modeling, structuring, and drafting credit committee materials. Asset-based and specialty finance backgrounds are welcome. Leveraged finance, restructuring advisory, or rating-agency experience before the principal side is welcome, but principal-side deal execution is required. Strong command of the documents and data that drive a credit decision — lender presentation and CIM, QoE and data pack, model, credit agreement and intercreditor, compliance certificates — and an instinct for where the numbers and the paper disagree. Advanced Excel and financial modeling, comfort with prompting and agentic AI workflows, and a builder's instinct for turning a repeated manual process into a repeatable automation. Python, SQL, or experience building internal tools is a plus. Executive presence and relationship-building skills, with the ability to establish credibility from analysts and associates through to partners and credit committee members. Outstanding communication and presentation skills — comfortable leading a live demo, facilitating a workshop, or holding your own in a technical conversation about a covenant package or an underwriting assumption. Deep curiosity about AI's potential to transform investment work, paired with a practical, solutions-oriented mindset and bias toward action. Track record partnering with senior stakeholders to drive results, with curiosity for testing approaches and optimizing for customer outcomes. Customer-facing or commercial experience (LP or investor relations, capital formation, banking coverage, business development) and/or hands-on experience using AI tools in an investment setting are pluses. Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here. Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]

Production experience required. Builder mindset non-negotiable. The FDE Voice is a hands-on Forward Deployed Engineer role with a special focus on Voice. In this role, you will work directly with customers to design, build, and deploy AI-powered voice experiences in production, using Agentforce Voice, Service Cloud Voice, and contact center telephony integrations. You will own the full delivery cycle, from discovery and solution design to configuration, testing, and go-live, and you will be responsible for voice-specific quality, including latency, call flow logic, interruption handling, multilingual performance, and seamless escalation to human agents. You will act as a direct bridge between customers and the Voice Product team: sharing structured feedback from live deployments, raising product gaps and feature requests, contributing to roadmap discussions, and participating in early access programs and pilots to validate new capabilities in real customer environments. Working closely with customer teams, Product, and the wider EMEA South FDE team, you will turn field learnings into reusable voice patterns and assets that accelerate future deployments. What You'll Actually Be Doing Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, and validate the output. Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. You're Our Person If... You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models. You have a degree in Computer Science or a related field. You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) - this is a requirement, not a nice-to-have. You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex - and willing to add to that list as the work demands. You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. You understand data modelling, APIs, and integration patterns deeply enough to design them, not just consume them. You can hold your own in a room with sales teams and customer architects. You ship quality code and evaluate AI outputs with engineering rigour. You actively tinker with the evolving AI/data landscape - piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. You thrive in the group chat that's building something, not just talking about it. You're excited to travel ~25% of the time and work directly alongside customers. Even Better If... Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist). Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns. Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery). Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications, without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is EUR 88.200 to EUR 117,900 annually. In addition to the base salary, this position may offer access to a range of additional benefits including an incentive component which is tailored by grade level.

Read before you apply Job description About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Experience Production experience required. Builder mindset non-negotiable. The FDE Voice is a hands-on Forward Deployed Engineer role with a special focus on Voice. In this role, you will work directly with customers to design, build, and deploy AI-powered voice experiences in production, using Agentforce Voice, Service Cloud Voice, and contact center telephony integrations. You will own the full delivery cycle, from discovery and solution design to configuration, testing, and go-live, and you will be responsible for voice-specific quality, including latency, call flow logic, interruption handling, multilingual performance, and seamless escalation to human agents. You will act as a direct bridge between customers and the Voice Product team: sharing structured feedback from live deployments, raising product gaps and feature requests, contributing to roadmap discussions, and participating in early access programs and pilots to validate new capabilities in real customer environments. Working closely with customer teams, Product, and the wider EMEA South FDE team, you will turn field learnings into reusable voice patterns and assets that accelerate future deployments. What You'll Actually Be Doing Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, and validate the output. Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes. Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months. Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before. Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop. Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. You're Our Person If... You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models. You have a degree in Computer Science or a related field You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have. You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands. You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change. You understand data modelling, APIs, and integration patterns deeply enough to design them, not just consume them. You can hold your own in a room with sales teams and customer architects. You ship quality code and evaluate AI outputs with engineering rigour. You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. You thrive in the group chat that's building something, not just talking about it. You're excited to travel ~25% of the time and work directly alongside customers. Even Better If... Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist) Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery) Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments The Builder Experience AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day-to-day workflow. Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself. Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months — spanning Agentforce, data, platform, and headless architectures, and your field insight will feed directly to the product teams building them. Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X. Role overview A hybrid software engineer and technical consultant who embeds within a strategic customer to implement, customize, and scale ADI's AI and edge technology into their real-world infrastructure. Key responsibilities Write production-grade code: custom data pipelines, API integrations, and MLOps/AI workflows. Embed on-site with clients, partnering across CSG, VBU, SDP, and Edge AI teams. Frame customer problems and own the architecture that solves them. Drive rapid iteration and field learning to deliver measurable customer outcomes. Produce reusable, ADI-owned assets that create defensible wedges. Required qualifications BS/MS in CS, EE, or related; 2+ years building production software. Strong Python plus experience with data pipelines, APIs, and MLOps/AI workflows. Comfort deploying and debugging on-site in complex enterprise environments. Excellent communication; able to translate customer needs into architecture. Willingness to travel and embed with strategic clients. Preferred Edge AI, LLM/agentic systems, or signal-processing background. Prior forward-deployed, field, or solutions-engineering experience. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. Job Req Type: Experienced. Required Travel: Yes, 10% of the time. Shift Type: 1st Shift/Days.

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Salesforce is hiring Forward Deployed Engineers — the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you. The Senior Builder Experience Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly. AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference. Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AI product evolution. Continuous Innovation: You're expected to stay at the forefront — piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers. What You'll Actually Be Building Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers — from architecture decisions through production handoff. Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems. Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms. Resolve the technical blockers that other engineers can't — data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them. Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements. Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time. Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from. Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in. Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed. Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap. Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship. You're Our Forward Deployed Engineer If… You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments. You have a degree in Computer Science or a related field. You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others. You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts. You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks. You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs. You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery — and the judgment to know when "fast" is the wrong call. You've mentored technical talent and created reusable assets — frameworks, playbooks, internal tooling. You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders. You actively tinker with the evolving AI/data landscape — piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next. Ability to travel to customer sites as needed to ensure client success. Business level proficiency in Italian and English. Computer Science (CS) degree or related. Nice-to-Haves Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect). Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks. Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers. Track record of influencing enterprise software product roadmaps through field engineering insights. Open-source contributions, published technical writing, or conference presentations. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. The typical base salary range for this position is EUR 70,425 to EUR 94,200 annually. In addition to the base salary, this position may offer access to a range of additional benefits including an incentive component which is tailored by grade level.

Production leadership required. Builder mindset non-negotiable. Salesforce is hiring a Portfolio Leader to directly manage and grow a team of technical AI specialists deploying Agentforce solutions inside complex customer environments. This is a hands-on leadership role for someone who can drive engineering excellence while operating at the executive level. This is not a traditional people manager, but a mission-critical multiplier on the agentic frontier. You will lead a blended delivery team made up of two specialist functions: Forward Deployed Engineers (Technical Builders - who design, build, and deploy AI Agents directly in customer environments) and Deployment Strategists (Strategic Builders - customer-facing advisors who shape AI strategy, define use cases, and drive adoption). Together, these teams work alongside customers to co-build and deliver agentic AI solutions on a single large enterprise account or across multiple engagements simultaneously. You'll set the engineering standards, unblock complex customer deployments, and scale the talent that's shipping production AI today. The Builder Leadership Experience Delivery Team Coordination: You own the capacity planning, talent acquisition, and staffing that ensures your cross-functional squads have the horsepower to deploy Agentforce at enterprise scale. AI-Augmented Leadership: Your team ships solutions using a best-in-class suite of AI tools (Cursor, Claude, and Salesforce coding products like Vibes). You will foster an inclusive, high-energy, and psychologically safe engineering culture where builders iterate fast and continuously level up. Direct Product Influence: You stand at the center of the product feedback loop. Partner directly with the Product and Engineering organizations on pilot programs and beta rollouts, turning raw field insights from high-stakes deployments into features on the Agentforce core roadmap. What You'll Actually Be Doing Scale Elite Talent: Recruit, mentor, and develop the next wave of Technical and Strategic Builders. Drive technical excellence, structure career growth, and foster an environment where shipping high-quality, production-ready systems is the norm. Maintain Operational Velocity: Monitor key delivery metrics, coach your teams on optimization, and run hard on complex customer escalations. You ensure your teams move from sketch to deployable in weeks, not months. Ultimate Technical Authority: Serve as the final technical escalation point for your portfolio. Maintain deep architectural judgment across the Salesforce platform, advanced LLM techniques, data pipelines, and agentic orchestration. Guide Enterprise Implementations: Unblock complex data readiness, tool integration, and multi-agent orchestration challenges. Step in directly to help your teams assess customer technical readiness, remove deployment barriers, and codify standardized, repeatable delivery methodologies. Drive Agentic Adoption: Build and anchor strong executive-level relationships within your customer portfolio, ensuring flawless Agentforce activation, rollout, and sustained production value. Accelerate Portfolio Performance: Operationally run your account portfolio with engineering rigor - monitoring health, delivery velocity, and core consumption metrics to accelerate progress toward customer business outcomes. Cross-Functional Alignment: Partner lock-step with Services, Account Success, and Product teams to help enterprises activate and consume Agentforce quickly, moving customers from pilot to production at hyper-speed. You're Our Person If... You Have Proven Leadership: 4+ years of direct people management or high-impact technical leadership steering cross-functional engineering or technical teams. You have a track record of hiring, mentoring, and scaling technical talent. You Bring Advanced Technical Depth: Deep architectural understanding of AI, LLMs, and the Salesforce ecosystem. You have hands-on experience with enterprise software implementation, data modeling, API integration, and AI deployments. You Own the Agentforce & Data Cloud Blueprint: You possess direct, hands-on experience architecting or deploying Salesforce Data Cloud and the Agentforce platform. You don't just understand the tech stack - you know how to orchestrate it to unblock enterprise scale and drive immediate production value. You Lead with an Enterprise Customer Focus: Strong background navigating high-touch customer strategies at a Global level, paired with exceptional executive-level communication and influence skills. You can hold your own in a room with customer CTOs and enterprise architects. You Have a Ship-It Mindset: Exceptional problem-solving instincts, extreme resourcefulness, and a "get-things-done" demeanor. You thrive at the technical helm where code is being actively shipped, not just talking about it. Even Better If... Hands-on experience building multi-agent systems, prompt engineering pipelines, or deterministic AI guardrails. Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery) and enterprise data pipelines. Relevant Salesforce certifications (Advanced Admin, Service Cloud, Data Cloud, Sales Cloud, or Agentforce Specialist). Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world.

Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. We are seeking an FD Build Engineer to join our Forward Deployed Engineering team. You will have a strong mechanical or electrical background and be responsible for building, integrating, validating, and deploying the prototype hardware that brings our technology from the lab to the fleet. This is not a traditional technician role. You will not always be building to print, and you will not be waiting for a finished design to hand you work. You will sit alongside the engineers inventing new capability for our Autonomous Surface Vessels (ASVs), bring operational reality into the design before it is frozen, build and prove the hardware, define how it gets installed and maintained, and then go to the waterfront with it. Time is split between the lab, fabrication spaces, and the water. You will report to Forward Deployed Engineering Director and be embedded with Forward Deployed Hardware Engineers, who set design intent and priorities. Some tasks will come with clear direction. Others will come as a problem and a deadline, and you will be expected to figure out the approach, make the call on how to build it, and own the result. Technical direction stays with the engineers; execution is yours. We are looking for someone who takes direction well and leads when the situation needs it. You will embed in a product pod supporting multiple Forward Deployed Hardware Engineers, going deep on forward deployed projects and rotating between pods as program demand shifts. This role requires significant travel, typically 50–70%, to test sites and deployment locations, and long hours are common, especially during demos and deployments. Responsibilities Embed within a product pod supporting multiple Forward Deployed Hardware Engineers, focused on forward deployed projects and rotating between pods as demand requires Own execution of integration plans on the operational system. Take a task or a problem from an FDE hardware engineer, scope it, source it, build it, prove it, and close it out with documentation. Build, integrate, and modify prototype mechanical and electrical hardware from drawings, CAD models, and engineering sketches, with an emphasis on speed to test. Where direction is incomplete, propose the approach, make the build decisions within the engineer's design intent, and escalate design-level questions Fabricate brackets, fixtures, jigs, and one-off components using hand tools, shop equipment, sheet metal, and 3D printing; build wiring harnesses and cabling for the marine environment; and work with suppliers and fabrication shops for fast turnarounds of custom components and harnesses Lead the organization and day-to-day use of lab and shop spaces — keeping tools, equipment, and inventory in order, setting up workspaces for active builds, and training engineers and teammates on safe, effective use of the space Work with other engineering and field teams to troubleshoot prototype hardware and find issues, from lab bring-up through dockside and sea trials to on-site deployment. Advise engineering teams on design updates that make the build more efficient, practical, and serviceable. Lead hardware and subsystem integration efforts across CONUS and OCONUS locations. Validate engineering changes prior to wider release and support root cause investigations. Serve as the on-site engineering point of contact during deployment, providing technical support and communicating findings back to the engineering team. Bring operational and maintenance experience into early requirements and design discussions — what survives the marine environment, what a maintainer can service on a pitching deck, and what fails after 200 hours at sea — and feed design-for-assembly, serviceability, and deployment recommendations back to engineering Write installation, maintenance, and troubleshooting procedures for prototypes that don't have any yet, partnering with technical writing. For prototypes entering sustainment, propose maintenance intervals, consumables, spares lists, and special tooling, support handoff to Mission Support, and train operators, field service representatives, and other technicians on the systems you build Qualifications Associate degree or bachelor's in a technical field, military technical training, trade certification, or equivalent hands-on experience Hands-on experience building, testing, or maintaining integrated electromechanical systems, preferably in fielded or mission-critical environments Ability to read and work from engineering drawings, CAD models, wiring diagrams, and electrical schematics Hands-on expertise in mechanical assembly and fabrication (hand and power tools, sheet metal, 3D printing, basic machining) Hands-on expertise in electrical integration (harness construction, soldering and crimping, connector selection, wire sizing, voltage drop, DC power distribution, grounding and bonding) Hands-on expertise in troubleshooting with electrical test equipment (multimeters, oscilloscopes) Demonstrated ownership of a build, integration, or test effort from scoping through close-out, with a track record of working through ambiguous tasks with limited oversight Ability to run tests and root cause investigations, and to write up data, findings, and procedures clearly enough that an engineer, writer, or operator can act on them Comfortable both taking direction from engineers and leading a task or small effort when the situation calls for it Willingness to work in dynamic, hands-on environments, including on and near the water, and to travel up to 50-70% Strong sense of ownership and bias for action Preferred Qualifications Military or commercial marine maintenance background — Navy or Coast Guard engineering rating, small craft maintenance, or comparable Marine systems experience (propulsion, steering and hydraulics, through-hulls and sealing, corrosion control and bonding, marine DC electrical) Experience working with autonomous systems, drones, or other robotic platforms Familiarity with maritime environments or naval platforms Comfort with a Linux command line and basic IP network troubleshooting Composites or fiberglass layup and repair experience Boat handling experience, USCG license, or crane, forklift, and rigging qualifications Exposure to ruggedized or IP-rated hardware Physical Demands Preferred Prolonged periods of sitting at a desk and working on a computer Occasional standing and walking within the office Manual dexterity to operate a computer keyboard, mouse, and other office equipment Visual acuity to read screens, documents, and reports Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages) Benefits Medical Insurance: Comprehensive health insurance plans covering a range of services. Saronic pays 100% of the premium for employees and 80% for dependents Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care. Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan with company match Stock Options: Equity options to give employees a stake in the company's success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office Saronic CCPA Notice for Candidates and California Employees If this role is based in the United States, it requires access to export-controlled information or items that require "U.S. Person" status. As defined by U.S. law, individuals who are any one of the following are considered to be a "U.S. Person": (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3). Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.

About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Role Overview We are looking for a technically strong Security Governance professional who can bridge the gap between Security & Compliance requirements and Engineering implementation. This role will serve as the technical voice and face of Assurance. You will partner closely with Engineering organizations, PCLs, Product Security, Legal, and other stakeholders to understand how security and compliance requirements are implemented in real systems. You will identify what is working and what is not, and translate those insights back into practical, scalable governance requirements. The successful candidate will understand systems and architectures deeply enough to move beyond validating whether a control exists. They will evaluate how the control is designed, implemented, operated, and scaled across the enterprise. Key Responsibilities Bridge Assurance and Engineering - Serve as a technical liaison between Assurance, Engineering, Product Security, PCLs, Legal, and other stakeholders, ensuring governance requirements are technically feasible, understandable, and implementable. Evaluate Control Implementation - Work directly with Engineering teams to understand how security and compliance controls are implemented within applications, platforms, infrastructure, cloud environments, and engineering workflows. Create the Engineering Feedback Loop - Assess what is working, what is creating unnecessary friction, and where controls or requirements are unclear or difficult to operationalize. Feed those insights back into control design, standards, and governance processes. Make Requirements Engineer-Usable - Translate regulatory, compliance, and security expectations into clear, actionable technical requirements that Engineering teams can consistently implement and validate. Develop Second-Line Oversight - Develop second-line oversight protocols that independently monitor, audit, and validate that all security controls are operational across engineering teams in Salesforce (e.g., attestations, CRE checks). Understand Systems End-to-End - Develop a deep understanding of key platforms, architectures, engineering processes, security capabilities, and control implementations to help Assurance make better risk and compliance decisions. Assess Risk in M&A - Assess control and risk exposure during M&As. Design the assessment to price risk, evaluate compatibility, and deliver an executable activation plan tied back to the risk model. Partner on Emerging Security Requirements - Collaborate with Product Security, Legal, PCEs, Market Enablement, and other teams to understand emerging requirements and determine how they should translate into future security controls and engineering expectations. Track the Direction of Compliance Frameworks - Monitor where regulatory and compliance expectations are heading, including AI governance, the EU AI Act, evolving international requirements, and market-specific regulatory expectations. Proactively identify implications for the organization. Drive Change Management and Enablement - Build the change management, training, and communication needed to shift teams from "go find and interpret a policy" to "know precisely what applies and how to comply." Run Control Incident Management - Stand up a formal incident management practice for control failures. Include postmortems, root-cause analysis, and error budgets for controls, modeled on availability incident response. Influence Future Control Design - Partner with control owners and technical teams to evolve controls based on new technologies, regulatory expectations, architecture changes, and lessons learned from implementation. Drive Security Champion Engagement - Build strong relationships with technical stakeholders across Engineering. Establish a network of security/control champions who can provide implementation feedback, promote requirements, and help scale governance across teams. Report to Executive Leadership - Report on control reliability, coverage, pressure, and systemic risk trends to executive leadership. Feed findings back to the control framework for continuous improvement. Represent Assurance Across Technical Organizations - Act as a trusted technical representative for Assurance in architecture, engineering, security, and governance discussions. Help ensure Assurance is involved early rather than only during audit or compliance validation. What we're looking for U.S. Citizenship or Permanent Residency required. We're unable to provide visa sponsorship for this role. Strong technical background in security engineering, cloud security, product security, IAM, platform engineering, or security architecture. Ability to understand complex systems, architectures, APIs, infrastructure, cloud environments, and software development processes. Experience translating security, risk, regulatory, or compliance requirements into technical implementation requirements. Strong understanding of security controls and frameworks such as NIST, ISO 27001, SOC, SOX, FedRAMP, or similar frameworks. Familiarity with emerging technology and regulatory areas such as AI security, AI governance, privacy, and evolving global technology regulations. Ability to work effectively with Engineering while also partnering with Legal, Compliance, Security, Risk, and business stakeholders. Strong communication skills, with the ability to explain technical implementation details to governance teams and translate governance expectations into language Engineering teams can act on. Ability to challenge existing requirements constructively and recommend improvements based on technical realities and risk. Experience with independent control testing, assurance or audit practices, incident or root-cause analysis, or M&A due diligence is a plus. What Success Looks Like Success in this role means creating a strong connection between what Assurance requires and what Engineering can effectively implement. Controls become more technically relevant, and requirements become easier for Engineering teams to consume. Implementation challenges are identified earlier, and emerging security and regulatory expectations are incorporated into the control environment before they become compliance gaps. Control failures are handled with the same rigor as availability incidents, and leadership has clear visibility into control reliability and systemic risk. Ultimately, this role will help move Assurance from primarily validating compliance to becoming a technical governance partner that actively shapes secure and compliant engineering practices by design. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters. In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges, ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field. As a Forward Deployed Engineer, you will: Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments. Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments. Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance. Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs. Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs). Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features. Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks. You may be a good fit if you have: 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments. Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI). Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance. Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo). Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads. Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders. The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers. Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning. Full-Time Employees at Cohere enjoy these Perks: A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. Full health and dental benefits, including a separate budget for mental health. RRSP matching, 401K, Pension Scheme. 100% Parental Leave top-up for up to 6 months, for either parent. Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. 6 weeks of paid vacation (30 working days!) Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. For those not near an office: a co-working benefit so you can work alongside others in your city. Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn't line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

Read before you apply. Job Category: Sales About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Experience Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce's real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness. Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build. You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff. This is a hands-on data and software engineering role. You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it. What You'll Actually Be Doing Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls. Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric). Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes. Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents. Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents. Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems. Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies. Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error. Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead. Accelerate with AI. Use AI tooling - including Data 360 APIs and MCP Servers - to automate the build process and compress customers' time to value. Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact, and expected behavior - directly to Product and Support. You're Our Person If... You have 8+ years of experience in software engineering, data engineering, or technical implementation, including a production data solution you can explain in detail. You have a bachelor's degree in Computer Science or equivalent practical experience. You have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks. You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed. You understand data modeling, APIs, integration patterns, batch and streaming processing, and the practical differences between copied, federated, and Zero Copy data access. You've built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance. You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication. You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases. You diagnose technical problems methodically, use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result. You can implement against a documented architecture, explain what you built to customer technical teams, and recognize when a question requires an architect or security owner. You have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments. You are excited to work directly with customer administrators, developers, data engineers, and architects. You have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is EUR 88.200 to EUR 117,900 annually. Italy CBA (Contratto collettivo nazionale di lavoro del commercio) (01/04/2015 - ) Quadri In addition to the base salary, this position may offer access to a range of additional benefits including an incentive component which is tailored by grade level.

About Clay AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential. Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research. In 2026, we raised a $115M Series D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education. Some things to know about us Our community includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack. Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more. All employees can work with world-class coaches who specialize in creativity, management, and more. Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here. Read about us in the NYT, Forbes, First Round Review, and more. Hear from our employees directly on our Glassdoor page! Growth Strategist, Key @ Clay We're building a new Key Accounts team within Clay's Strategic GS segment. It's a senior team dedicated to Clay's largest and highest-potential customers. You'll be a strategic partner to a small number of the world's most influential companies, including Fortune 500 enterprises and leading AI companies. You'll help their revenue operations and marketing leaders change how they go to market with Clay. As a founding member, you'll also help define how this segment engages, retains, and grows Clay's most important relationships. What You'll Do Own a focused portfolio. Be the senior owner of a handful of strategic accounts, and the person who knows each one best. Lead GTM transformation. Set a multi-year vision with executive teams, define the jobs to be done, and drive adoption across business units, regions, and functions. Build C-suite relationships. Be a trusted advisor to CROs, CMOs, and other executives, and keep Clay central to their GTM strategy. Deliver value in P&L terms. Define success metrics with leadership, measure them through data, surveys, and interviews, and present the business impact in executive business reviews. Quarterback the account team. Coordinate Sales, Solutions, Support, Product, and Engineering to run complex programs, handle escalations, and manage risk. Own renewals, co-own growth. Partner with Sales to anticipate needs, deepen use cases, and expand into new teams through cross-sell and upsell. Shape the product. Represent Clay's most influential customers internally and directly influence the roadmap. What You'll Bring Experience: 8–10+ years in strategic account management, customer success, or transformation consulting with Fortune 500 or similarly complex global organizations. Transformation track record: You've built C-suite relationships and led large-scale technology adoption or change programs. Commercial results: You've owned renewals and consistently hit iARR and GRR targets. Strategic thinking: You set a vision, build frameworks, and turn product capabilities into measurable business outcomes. Executive presence: You stay calm presenting to senior leaders, in high-stakes situations, and in conflict. Cross-functional leadership: You lead without formal authority, both inside Clay and inside the customer's organization. Technical curiosity: You want to understand the product deeply enough to connect what's possible with what the customer needs. Builder mentality: You're energized by shaping a new team's operating model from the ground up. Nice to have: A background in management consulting or strategy advisory.

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? In AI, proximity to customer reality is the moat. Even the best model doesn't run itself: it takes someone who gets close enough to a customer's business to make it work, and that closeness doesn't happen on its own. That's where the Forward Deployed Product Manager comes in. You'll work directly with our biggest customers at the moments that matter most in their journey with Fin, whether that's proving out value in an evaluation, getting a deployment live, or expanding what's possible once it's working, and get them to real, measurable success with Fin faster than they'd get there on their own. What you learn with them feeds back into the product, so every customer after them gets there faster and better too. This is a very novel role in the industry, still being shaped, and you'll help sharpen what great looks like at Fin: evolving the playbooks, and shaping how we win and deliver on our biggest, highest-stakes deals. This is a high-ownership, high-visibility role for a PM who wants real time with customers and hands-on time with the product, and who's comfortable making progress before every answer is known. What will I be doing? Own outcomes for a portfolio of strategic customers deploying Fin. Understand their business, their support operation, and their technical environment well enough that the deployment plan you propose earns trust immediately. Run the full arc yourself. Pitch and demo Fin, scope the solution, hands-on configure it (including custom development if required), and unblock whatever gets in the way, whether that's a product gap, a technical integration, or a cross-functional snag. Be the AI expert in the room. Customers should leave every conversation with you knowing more about how to get outstanding results from Fin. Partner tightly with Sales, Success, and R&D so each deployment feels like one team to the customer, not a relay race. Turn what you learn in the field into product. Bring specific, evidence-backed input, not just feature requests, to shape the roadmap. Build the playbook as you go: the deployment patterns, templates, and best practices that make the next ten deployments faster than the first. Help define what Forward Deployed PM means at Fin. It's a very novel role across the industry, still being shaped, and you'll help sharpen what it looks like here. Success in this role looks like your customers thriving with Fin, and the product getting sharper because of what you learned from them. It's product management at its core, not solutions engineering, customer success, or professional services. What skills do I need? Experience: No minimum years required. We care about impact, drive, and potential, evidenced through the skills below, not tenure. Customer obsession: Deep empathy paired with a bias for action. You're motivated by solving the real problem and delivering measurable results. Communication & storytelling: You can pitch Fin to a room of executives, then get into the technical weeds with their engineers, adjusting depth and tone without losing either audience. Technical fluency: You're able to talk to engineers and customers about modern tech stack, from APIs and SaaS infrastructure to LLMs and low-code tooling. You're comfortable onboarding a customer into more technical product setups. Evidence-based thinking: You use data, not anecdotes, to make the case for a deployment plan or a roadmap bet, and you're comfortable pulling and interpreting data (conversation logs, usage, CX metrics) to find the story. Cross-functional influence: You navigate organizational boundaries easily, and bring people together to get the best outcome for customers and Fin. Comfort with ambiguity: You thrive in fast-changing, undefined environments, switching fluidly between big-picture strategy and in-the-weeds execution. Operational rigor: You're highly organized and structured, managing multiple deployments and priorities without becoming reactive, and you know when a moment calls for speed versus polish. Even better if you have: Experience building product for enterprise customers; Startup or B2B SaaS experience; Background in technical consulting, solutions engineering, or customer success. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Fin has a hybrid working policy. We expect employees to be in the office at least three days per week. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.

The Experience Customer impact from day one. Strategic clarity and Execution that sticks. Salesforce is hiring Deployment Strategists — Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound — typically 12 weeks or less — and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds. What You'll Actually Be Doing Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle — Identify → Commit → Deploy → Consume — owning outcomes at every stage, not just discovery or deal closure. AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start. Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks. Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization. Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones. AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools, including Cursor, Claude, and our coding products like Vibes, to accelerate development. Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail. AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents. Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap. You're Our Person If... 4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology. You have a degree in Computer Science or a related field. Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have. Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud. Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex. Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes. Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices. Strong project and programme management skills — ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments. Ability to travel 25% of the time to customer sites. Fluency in Japanese (written and verbal). Even Better If... Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing). Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare). Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms. Background in change management, organisational design, or enterprise transformation. Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks. A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments.