Sentra

Description Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments while leveraging the power of AI without compromising security. Sentra’s unique approach enables enterprises to autonomously scan their environments without the need for agents, ensuring that data remains securely within their cloud or on-premises infrastructure. This innovative methodology sets us apart in the industry, providing organizations with control and visibility over their sensitive data at all times. Our commitment to excellence in data security posture management and data detection and response makes Sentra a leader in the field. We are seeking a highly experienced Software Architect to join our team and take ownership of designing and developing complex systems that directly impact our technology. In this role, you’ll work cross-functionally with R&D teams to build solutions that address critical needs, drive efficiency, and lead meaningful processes within the organization. Responsibilities • Architectural Design & Strategy: Define and develop scalable and efficient system architectures. • Mentorship & Technical Leadership: Guide and mentor R&D teams, ensuring best practices and high-quality technical decisions. • Raise the Bar - Inspire and guide the team to achieve excellence in software engineering, consistently setting high standards for outstanding delivery. • Cross-functional Collaboration: Work closely with engineering, product, data science teams, and other stakeholders to translate business needs into technical solutions. • Problem Solving: Analyze and resolve complex technical challenges with innovative solutions. • Performance Optimization: Ensure system reliability, scalability, and performance through architectural improvements. Requirements • 10+ years of experience in software engineering including architecture design. • Proven track record of designing and developing complex, high-scale systems. • Strong background in high scale data solutions including different types of databases (DB), designing and building systems that operate on top of databases. • Experience working with cloud environments and on-premises infrastructures. • Proven experience in process improvement and optimization. • Strong ability to provide technological guidance and mentorship to R&D teams. • Strong problem-solving skills and ability to drive technical excellence across teams. • Integration with text classification and LLMs – an advantage.

Description Sentra is the AI Data Readiness platform for enterprises deploying AI at scale. Sentra continuously discovers, classifies, and governs sensitive data across cloud, SaaS, data warehouses, and AI environments - giving security teams complete visibility into what AI systems can access, what they can expose, and where compliance violations exist. Unlike alternatives that copy data to vendor clouds or require customer-managed outpost infrastructure, Sentra provisions ephemeral scanners directly inside the customer's environment, delivering petabyte-scale classification at a fraction of the cost. Trusted by Lyft, SoFi, Munich RE, PennyMac, Glovo and others. Responsibilities • Serve as the main technical contact for enterprise clients, establishing trusted, long-lasting relationships. • Conduct regular account reviews and recommend optimizations to enhance Sentra’s solutions. • Provide guidance on Sentra’s products, facilitating smooth integration across multi-cloud environments. • Identify and address risks, inefficiencies, and areas for improvement in customer environments. • Collaborate with Technical Support to ensure customer satisfaction. • Oversee deployment phases, ensuring seamless transitions from proof-of-concept to full implementation. • Provide ongoing support to ensure successful adoption of Sentra’s platform. • Deliver training to help customers maximize Sentra’s capabilities. • Act as a customer advocate, collecting feedback to inform product development. Requirements • 5+ years in a technical, customer-facing role, such as Technical Account Management or Solutions Engineering. • Proficiency with cloud platforms (AWS, Azure, GCP) and a strong understanding of data security and classification challenges. • Solid knowledge of data security concepts and compliance frameworks (e.g., GDPR, HIPAA). • Proficiency in SQL and scripting languages (e.g., Python). • Bachelor’s degree in Computer Science, IT, Cybersecurity, or equivalent experience. • Excellent communication skills, with the ability to convey complex technical concepts to varied audiences. • Strong problem-solving abilities and experience handling technical challenges effectively. • Centra/West Coast desired

Description Sentra is the AI Data Readiness platform for enterprises deploying AI at scale. Sentra continuously discovers, classifies, and governs sensitive data across cloud, SaaS, data warehouses, and AI environments - giving security teams complete visibility into what AI systems can access, what they can expose, and where compliance violations exist. Unlike alternatives that copy data to vendor clouds or require customer-managed outpost infrastructure, Sentra provisions ephemeral scanners directly inside the customer's environment, delivering petabyte-scale classification at a fraction of the cost. Trusted by Lyft, SoFi, Munich RE, PennyMac, Glovo and others. Responsibilities • Build & Scale: Recruit, onboard, and develop a world-class team of enterprise sellers across the Eastern region. • Drive Results: Own regional new business and expansion targets; drive consistent overachievement against quota. • Coach & Lead: Provide strong leadership through hands-on deal coaching, pipeline inspection, and forecast accuracy. • GTM Execution: Partner with marketing, product, and sales operations to execute regional campaigns and strategic plays. • Customer Centricity: Develop deep relationships with key customers and prospects; be a trusted advisor to CISOs and security leadership. • Process Excellence: Implement scalable sales processes, rigor around forecasting, and best practices for enterprise selling. • Voice of the Field: Serve as a key conduit between sales and the broader organization, representing customer insights and competitive intelligence. • Remit: VARs, MSSPs, Tech Alliances, Cloud Alliances, and SIs Requirements • 10+ years of experience in enterprise sales with at least 5+ years in a leadership (RVP) role. • Track record of building and managing high-performing teams in hyper-growth environments. • Strong understanding of the enterprise cybersecurity space; ability to navigate technical and executive conversations. • Experience working with cross-functional stakeholders to drive sales outcomes. • High EQ leader who leads with integrity, transparency, and grit. • Experience scaling from early-stage through growth stages (Series A/B to D and beyond) is a plus. • Comfortable with ambiguity and ready to build.

Description We are looking for a highly technical, hands-on Quality Engineering Lead to drive product quality through AI-powered automation, intelligent testing, and proactive issue detection. Your mission is to build and continuously improve automated quality mechanisms that identify bugs, regressions, performance issues, and unexpected system behavior before they impact our customers. You will leverage AI agents, modern development tools, and engineering automation to make quality an integral and continuous part of our development lifecycle. This is a senior, hands-on technical leadership role with ownership of the Quality Engineering domain across R&D. You will define the technical direction, lead cross-team initiatives, and establish the foundations for a scalable, AI-driven quality engineering function, with the opportunity to build and lead a dedicated team as the domain evolves. We are looking for someone who combines strong software engineering expertise, a passion for product quality, and the leadership skills to drive meaningful change across the engineering organization. Responsibilities • Build AI-Powered Quality Agents: Design and implement agents that proactively identify bugs, regressions, and unexpected behavior across our systems. • Develop Intelligent Testing Mechanisms: Build automated testing solutions that leverage AI to generate, execute, and maintain meaningful test scenarios. • Proactive Issue Detection: Analyze logs, metrics, traces, production behavior, and code changes to identify potential quality issues. • Automate Regression Detection: Develop mechanisms that continuously validate system behavior and detect regressions introduced by new releases. • Improve Release Confidence: Build automated quality gates and validation mechanisms integrated into CI/CD pipelines. • Production Quality Monitoring: Develop intelligent mechanisms that detect functional inconsistencies, data integrity issues, and unexpected production behavior. • AI-Assisted Root Cause Analysis: Build tools and agents that investigate detected issues, identify likely causes, and provide actionable findings to engineering teams. • Drive Quality Engineering Across R&D: Collaborate with all engineering teams to identify quality gaps, establish best practices, and drive the adoption of AI-powered quality mechanisms throughout the development lifecycle. • Technical Leadership & Ownership: Own and lead the Quality Engineering domain across R&D. Define the technical direction, drive cross-team initiatives, establish engineering standards, and mentor engineers working on quality-related solutions. • Build and Scale the Quality Engineering Function: Establish the technical foundations, processes, and tools needed to scale quality engineering across the organization, with the potential to build and lead a dedicated team. • Own Quality Improvements End-to-End: Independently design, develop, deploy, and maintain quality engineering tools and automation, ensuring measurable improvements in product quality. Requirements • 7+ years of hands-on software engineering, quality engineering, or test infrastructure development experience. • Proven technical leadership experience as a Tech Lead, Staff Engineer, or equivalent, with the ability to drive cross-team initiatives and influence engineering practices. • Strong programming skills in Python, TypeScript, or similar languages. • Extensive experience building automated testing frameworks, quality validation systems, or engineering automation infrastructure. • Hands-on experience using LLMs, AI coding tools, or AI agents to solve engineering problems. • Strong understanding of backend systems, APIs, distributed architectures, and cloud environments. • Experience with CI/CD pipelines, integration testing, and automated regression testing. • Strong debugging, troubleshooting, and root cause analysis skills. • Ability to define technical direction, mentor engineers, and take ownership of an engineering domain across the organization. • Strong communication and collaboration skills, with the ability to work effectively across multiple engineering teams. • Ability to independently identify quality gaps and deliver production-ready engineering solutions. Nice to Have • Experience building autonomous AI agents or agent-based testing frameworks. • Experience with Claude Code, Cursor, Codex, or similar tools. • Experience with Kubernetes, AWS, and microservices architectures. • Experience with observability platforms such as Datadog, Groundcover, or Grafana. • Experience with performance testing, chaos engineering, or production validation. • Familiarity with MCP, LLM tool calling, and agent orchestration. • Experience establishing or leading quality engineering initiatives across multiple development teams. • Experience building or scaling engineering teams or technical functions. What Success Looks Like • Critical bugs and regressions are detected before reaching customers. • Automated quality mechanisms continuously validate product behavior across development and production environments. • AI agents reduce manual testing, debugging, and investigation efforts. • Engineering teams receive actionable quality findings early in the development cycle. • Release confidence increases while maintaining or improving development velocity. • Product quality improves through measurable reductions in escaped defects and recurring incidents. • Quality engineering becomes a shared, AI-powered capability adopted across all R&D teams. • A scalable quality engineering function is established, with clear technical ownership, standards, and long-term direction. Our Vision Build an engineering organization where quality is continuously and proactively validated through intelligent automation and AI agents. • We believe quality should not depend solely on manual testing or reactive bug fixing. Our goal is to create an AI-driven quality engineering function that continuously identifies problems, prevents regressions, and empowers every engineering team to deliver reliable software faster.

Description About Us Sentra is the AI Data Readiness platform for enterprises deploying AI at scale. Sentra continuously discovers, classifies, and governs sensitive data across cloud, SaaS, data warehouses, and AI environments - giving security teams complete visibility into what AI systems can access, what they can expose, and where compliance violations exist. Unlike alternatives that copy data to vendor clouds or require customer-managed outpost infrastructure, Sentra provisions ephemeral scanners directly inside the customer's environment, delivering petabyte-scale classification at a fraction of the cost. Trusted by Lyft, SoFi, Munich Re, PennyMac, Glovo and others. About the Role Sentra's revenue engine runs on state-of-the-art AI-enhanced infrastructure that was made possible with GTM Engineering: GTM data syncs continuously into a warehouse. AI pipelines score every open deal daily and write their conclusions back into the CRM. Attribution models run across a hundred thousand touchpoints. A partner deal-registration portal, a content platform and an internal dashboard suite are all in production, deployed through CI with automated rollback. All of it was designed and shipped in-house, in a matter of hours to days, not weeks. You will be the founding GTM Engineer within the GTM Engineering & RevOps team, where you’ll take over production systems, be asked to own them, harden them, and extend them into the parts of the revenue lifecycle we have not automated yet. The GTM team is your user base. You will find where revenue is leaking, build the system that closes the gap, and own both halves: the commercial reasoning about why a deal moves and the AI-systems that enable the team to act on it. Responsibilities • Build and enhance the revenue data platform and AI automations and workflows: The CRM-to-warehouse sync, the enrichment and scoring pipelines, revenue forecasting systems. You will operate these processes, improve them, and keep them reliable where the team never second guesses the output. • Own the full revenue lifecycle systems management: One system from first touch to renewal, from demand capture and lead flow, pipeline and forecast, to renewals and expansion. Not three disconnected stacks with handoffs between them; this is genuine end-to-end ownership. • Create analytics infrastructure that allows decision-makers to scale the business. Every number we publish is versioned and carries a reason; you will keep it that way. • Drive Adoption: Building is half the job; you will measure whether reps use what we build, and treat non-adoption as a defect in the system rather than a failure of the rep. Requirements • LLM tooling as an engineer, not a consumer. You have built something where an LLM is a component in a pipeline, and you have opinions about how you verified the output. Agentic coding tools (Claude Code, Cursor or equivalent) are part of how this team works. • 5+ years in GTM operations, sales engineering, revenue operations, marketing operations or sales systems at a B2B SaaS company, preferably at high-growth startups scaling from $10M - $100M+ ARR. • Data & Git fluency: You can write the joins and window functions behind a pipeline report without help, and you can tell when a number is wrong because the query is wrong. Branches, pull requests, code review, resolving your own conflicts. Everything here ships through version control and CI. • Practical scripting and API work: Python, TypeScript or JavaScript. You have read API docs, handled auth, paginated a response and dealt with rate limits without supervision. • Deep Salesforce knowledge: You can design an object model, write and debug a record-triggered flow, reason about sharing and field-level security, and you know when the right answer is a formula field rather than automation. • Enterprise marketing automation: Marketo strongly preferred (Pardot, Eloqua or comparable considered). Sync behavior, dedupe and lead-to-contact matching are part of the job, not someone else's problem. • Commercial judgment: You can explain what a stalled deal looks like in the data, and why that matters to a quarter.

Description Sentra is the AI Data Readiness platform for enterprises deploying AI at scale. Sentra continuously discovers, classifies, and governs sensitive data across cloud, SaaS, data warehouses, and AI environments - giving security teams complete visibility into what AI systems can access, what they can expose, and where compliance violations exist. Unlike alternatives that copy data to vendor clouds or require customer-managed outpost infrastructure, Sentra provisions ephemeral scanners directly inside the customer's environment, delivering petabyte-scale classification at a fraction of the cost. Trusted by Lyft, SoFi, Munich RE, PennyMac, Glovo and others. Responsibilities • Provide technical expertise and guidance throughout the sales cycle, from architecture reviews to deployment and troubleshooting. • Demonstrate the capabilities and benefits of Sentra's products and services. • Collaborate closely with the product team to provide insights from the field and influence the product roadmap to better meet customer needs. • Collaborate closely with the sales and marketing teams to develop and execute strategic plans for achieving sales objectives. • Build strong relationships with key stakeholders, including customers, partners, and internal teams, to drive customer satisfaction and retention. • Stay current on industry trends and competitor offerings to inform product development and sales strategies. Requirements • 5+ years of experience in sales engineering or technical sales roles, in the cybersecurity or data management industry. • Experience with public cloud providers (AWS, GCP and Azure), as well as DevOps tools such as CloudFormation and Terraform. • Proven track record of exceeding sales targets and driving revenue growth. • Excellent communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences. • Deep understanding of data security principles and technologies. • Familiarity with regulatory compliance frameworks and data security/privacy requirements - an advantage. • Central/West Coast desired

Description Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments while leveraging the power of AI without compromising security. Sentra’s unique approach enables enterprises to autonomously discover, classify, and protect sensitive data while keeping it within their cloud or on-premises infrastructure. By combining Data Security Posture Management (DSPM), Data Detection and Response, and real-time Data Loss Prevention (DLP), Sentra gives organizations continuous visibility and control over their most sensitive information. We are looking for a Senior Backend Engineer (AI DLP) to join the team building Sentra’s next-generation DLP product. The team is extending Sentra’s data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared—including across browsers, GenAI applications, and employee endpoints. You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between Sentra’s DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure. Responsibilities • Design and implement core backend components of Sentra’s DLP control plane. • Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation. • Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets. • Connect Sentra’s DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection. • Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades. • Improve the scalability, performance, reliability, and operational visibility of the DLP platform. • Conduct design and code reviews and help establish strong engineering practices. Requirements • 6+ years of professional software-development experience, with significant experience building backend systems. • Strong experience designing, building, and operating cloud-native microservices and REST APIs in production. • In-depth understanding of modern SaaS architecture, multi-tenancy, distributed systems, and secure service-to-service communication. • Experience with both relational and NoSQL databases; hands-on experience with MongoDB is an advantage. • Experience deploying and operating services on AWS and Kubernetes, including monitoring, troubleshooting, and production ownership. • Strong understanding of authentication, authorization, credential lifecycle, tenant isolation, and secure API design. • Ability to work effectively across system boundaries and unfamiliar technology stacks. • Strong product judgment and the ability to turn evolving requirements into simple, maintainable technical designs. • Self-motivated, pragmatic, and comfortable taking ownership in a fast-moving startup. • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Description Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments while leveraging the power of AI without compromising security. Sentra’s unique approach enables enterprises to autonomously scan their environments without the need for agents, ensuring that data remains securely within their cloud or on-premises infrastructure. This innovative methodology sets us apart in the industry, providing organizations with control and visibility over their sensitive data at all times. Our commitment to excellence in data security posture management and data detection and response makes Sentra a leader in the field. We are seeking an experienced Data Science Team Lead to join us and play a key role in shaping the future of data security. As a Data Science Lead, you will be part of Sentra’s Classification team, which lies at the core of our mission - identifying sensitive data and helping customers detect the most critical risks in their cloud environments. Our multidisciplinary team of data scientists. Responsibilities • Lead the end-to-end lifecycle (design, development, and deployment) of ML models (e.g., NER, LLMs) to advance our data classification and entity recognition capabilities. • Partner with Product to align cutting-edge AI technologies with real-world customer needs and Sentra’s roadmap. • Architect robust experimentation frameworks to accelerate model iteration, validation, and production deployment. • Utilize extensive datasets to define quality benchmarks and drive continuous performance improvements. • Champion innovation by identifying opportunities for automation and AI-driven features that maximize customer value. Requirements • 7+ years of DS experience, with deep expertise in NLP and/or Generative AI. • 3+ years leading DS teams (managing 3+ ICs), with a focus on team growth and mentorship. • Proven track record of scaling ML models in production environments. • Strong proficiency in Python, SQL, and modern ML frameworks. • Hands-on experience with Big Data technologies, MLOps, and cloud-based AI infrastructure. • Strategic mindset, with experience managing technical debt and defining long-term research roadmaps in Agile environments. • Excellent communication skills, capable of translating complex technical insights for diverse stakeholders. Nice to have: • Prior experience in the data security or the compliance industry. • Experience processing large amounts of data using Big Data tools like Spark. • Experience using cloud based fine tuning frameworks. • A Master’s or Ph.D. in a relevant field (e.g., Data Science, Computer Science, Statistics, Mathematics) is preferred.

Description Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments while leveraging the power of AI without compromising security. Sentra’s unique approach enables enterprises to autonomously scan their environments without the need for agents, ensuring that data remains securely within their cloud or on-premises infrastructure. This innovative methodology sets us apart in the industry, providing organizations with control and visibility over their sensitive data at all times. Our commitment to excellence in data security posture management and data detection and response makes Sentra a leader in the field. We're looking for a DevOps & Deployment to join the Deployment team and take ownership of how Sentra reaches our customers' environments — and how it runs once it gets there. This role sits at the intersection of cloud infrastructure and backend engineering. You'll build and maintain the Infrastructure-as-Code and tooling that customers use to deploy Sentra across AWS, Azure, and GCP - including Kubernetes-based, VM-based, and on-premise environments. Alongside that, you'll develop the backend services that power the deployment lifecycle: orchestration, provisioning, environment management, health monitoring, and deployment verification — time-critical services where reliability directly impacts the customer experience. The role blends hands-on engineering, cloud architecture, and customer-facing technical work. You'll collaborate with Solutions Engineering, Support, and customers directly to ensure deployments are smooth, secure, and scalable. Responsibilities This is a DevOps and Backend role, with approximately 60% of the focus on DevOps & Deployment and 40% on Backend engineering. You’ll own both the infrastructure that enables Sentra to run in complex customer environments and the backend services that support and manage the deployment lifecycle. DevOps & Customer Deployment ~60% • Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments. • Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives. • Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades. • Develop and maintain our Kubernetes-based deployment (Golang, Helm) for both cloud-native and on-premises environments. Backend Engineering ~40% • Build and maintain backend services (Python, TypeScript) that power the deployment lifecycle — including orchestration, provisioning, and environment management. • Develop health monitoring and deployment verification services that ensure reliable, validated deployments with minimal customer friction. • Design and improve APIs that manage customer environments, ensuring they are robust, well-documented, and easy to integrate with. • Own the reliability and performance of time-critical deployment services where latency and correctness directly affect the customer experience. Collaboration & Customer-Facing Work • Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support. • Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed — sometimes during US business hours. Requirements • Strong hands-on experience with AWS, Azure, or GCP. • Experience with Terraform or similar Infrastructure-as-Code tools. • Strong hands-on experience with Kubernetes and CI/CD in production. • Solid understanding of cloud networking, IAM, and storage. • Strong experience with Python and/or TypeScript and building backend services. • Experience troubleshooting production infrastructure and distributed systems. • Comfortable working directly with customers and customer-facing teams. • Strong communication skills. Nice to Have • Experience deploying into customer-owned cloud or on-prem environments. • Multi-cloud experience. • Experience with Helm, CLIs, or deployment automation. • Experience with monitoring and observability for distributed systems.

Description Sentra is the AI Data Readiness platform for enterprises deploying AI at scale. Sentra continuously discovers, classifies, and governs sensitive data across cloud, SaaS, data warehouses, and AI environments - giving security teams complete visibility into what AI systems can access, what they can expose, and where compliance violations exist. Unlike alternatives that copy data to vendor clouds or require customer-managed outpost infrastructure, Sentra provisions ephemeral scanners directly inside the customer's environment, delivering petabyte-scale classification at a fraction of the cost. Trusted by Lyft, SoFi, Munich RE, PennyMac, Glovo, and others. We’re hiring a Product Marketing Manager who can turn complex technology into clear, differentiated stories that resonate with customers and help our field teams win. About The Role We’re hiring a Senior Product Marketing Manager who can turn complex technology into clear, differentiated stories that resonate with customers and help our field teams win. This is a highly visible, hands-on individual contributor role with significant ownership across positioning and messaging, competitive intelligence, product launches, and sales enablement. You’ll work closely with Product, Sales, Customer Success, and the broader Marketing team to shape how we bring our platform and capabilities to market and how we communicate Sentra’s value throughout the buyer journey. You’ll be comfortable going deep with technical teams, engaging directly with customers and sellers, and turning what you learn into simple, compelling messaging that differentiates Sentra in the market. Responsibilities Positioning & Messaging Help lead and evolve positioning and messaging across Sentra’s platform, products, and key use cases. Translate complex technical capabilities into clear, differentiated customer value and ensure our messaging resonates with both technical and business audiences. Competitive Intelligence Scale our competitive intelligence program, including competitive positioning, battlecards, objection handling, and field guidance. Stay close to the market and our sales organization to understand how competitors are positioning, where we win and lose, and what our field teams need to navigate competitive opportunities. Product Launches & GTM Lead product launches and key GTM initiatives, partnering cross-functionally with Product, Sales, Customer Success, and Marketing to develop messaging, enablement, launch plans, and execution. Ensure teams understand not only what we’re launching, but why it matters to customers and how to take it to market. Sales Enablement Create the messaging, tools, and training our field teams need to sell effectively. Partner closely with Sales to understand what resonates with buyers, where deals get stuck, and where additional messaging, competitive intelligence, or enablement can improve execution. Customer & Market Insights Stay close to customers, prospects, sellers, and the broader market to understand evolving needs, buying drivers, objections, and trends. Bring those insights back into Product, Marketing, and GTM decisions and help ensure the voice of the customer is reflected in our strategy and messaging. Content & Thought Leadership Partner with the broader Marketing team and executives to translate Sentra’s point of view into compelling content, campaigns, customer stories, and thought leadership. Help make complex data security and AI challenges understandable and relevant to our target audiences. Requirements • 5+ years of B2B cybersecurity product marketing experience in data, cloud, or enterprise software • Demonstrated ownership of positioning and messaging for complex technical products • Strong experience in competitive intelligence, sales enablement, and translating market insights into actionable field guidance • Proven experience leading product launches and cross-functional GTM programs • Ability to understand complex technology and translate it into simple, compelling customer value • Strong customer and market orientation, with experience engaging directly with customers, prospects, and sales teams • Excellent writing, storytelling, presentation, and communication skills • Ability to influence and collaborate effectively across Product, Sales, Customer Success, Marketing, and executive stakeholders • Comfortable operating independently and taking ownership while collaborating closely across teams • Able to think strategically while remaining highly hands-on in a fast-moving startup environment • Experience in data security, DSPM, DLP, cloud security, AI security, or data governance is a strong plus. What Success Looks Like • Strong, differentiated positioning across Sentra’s key products, capabilities, and use cases • Competitive intelligence and tools that help Sales navigate and win active opportunities • Well-executed product launches and GTM programs with strong cross-functional alignment • Clear and consistent messaging across Sales, Marketing, Product, and Customer Success • Customer and market insights that meaningfully inform product and GTM decisions • Field teams that are better equipped to articulate Sentra’s differentiation and value • Content and thought leadership that make complex data security and AI challenges easier for the market to understand •

Description Sentra is on a mission to enable cloud-driven organizations to regain control and secure their full data lifecycle. We are a fast-growing start-up company, located in Tel Aviv (near a train station) with a very strong founding team. We are looking for a Talent Acquisition Partner who’s excited to help us build the team that builds Sentra. This is your chance to join a well-funded cybersecurity startup, work alongside a world-class team, and make a direct impact on shaping our culture, team, and growth. You’ll own the full recruitment cycle across our Engineering, Product, and G&A teams in Israel, working hand in hand with hiring managers and leadership. This is an opportunity to join a growing People team and shape how Sentra hires as we scale. Responsibilities • Own end-to-end hiring: Lead every hire from hiring plan and intake through offer, closing, and building a tailored strategy for each role. • Partner with hiring managers: Act as a trusted advisor - align on profiles, guide interview processes, and challenge with data when needed. • Think strategically: Plan hiring ahead of company growth, map the talent market, and keep pipelines warm for critical roles. • Use data to drive results: Own recruiting metrics and reporting, and turn insights into smarter, faster hiring. • Bring AI into recruiting: Use AI tools to speed up sourcing, screening, and reporting, and help build a smarter hiring process. • Be creative and proactive: Drive top-of-funnel sourcing using out-of-the-box methods - direct outreach, events, referrals, and networks. • Create an exceptional candidate experience: Make every interaction personal, thoughtful, and true to our culture. • Shape our employer brand: Help tell Sentra’s story and showcase why this is the place for ambitious builders in cybersecurity. Requirements • 4+ years of end-to-end talent acquisition experience in tech startups, preferably in cybersecurity. • Experience hiring technical talent (engineering, product, data, etc.) and understanding what drives them. • Skilled in sourcing and nurturing pipelines in competitive markets. • Data-driven, comfortable working with an ATS, recruiting metrics, and spreadsheets. • Hands-on with AI tools and curious about how they can improve recruiting. • Strong relationship-builder with the confidence to influence hiring managers and senior leaders. • Excellent English, written and verbal. • High-energy, adaptable, and driven to make an impact in a fast-paced environment. • Passionate about building teams and being part of a startup’s scaling journey.