Jobs in Tel Aviv-Yafo

Description We are looking for a Head of AI-Native Engineering at the Senior Director level: a technology and innovation leader who will identify, build, and scale the next generation of AI-driven capabilities across our software development lifecycle. This is not a traditional R&D management role. It is a high-impact builder role for someone who can challenge the status quo, identify opportunities before they become obvious, and turn ambitious ideas into meaningful technological and organizational transformation. Working closely and directly with the VP of R&D, you will have a broad mandate and strong organizational backing to experiment, build new capabilities from the ground up, and rethink how software gets built at Stampli. You will be expected to move from ideas to execution, prove what works, and scale successful approaches across the R&D organization. You will build and lead a team responsible for developing the tools, infrastructure, workflows, and organizational capabilities required to make AI-native software development a scalable and measurable reality at Stampli. What You Will Do • Lead Our AI Transformation: You will transition the organization from AI assisted coding/reviewing toward an outcome-based workflow. The objective is to replace traditional, coordination-heavy processes with precise specifications and externalized behavioral scenarios, allowing AI agents to build and test software autonomously, as a black box. • Build and Lead the Team: Build and lead a team responsible for developing and scaling the tools, infrastructure, workflows, and capabilities required for AI-native software development. • Own Coding Agents and AI Tools: Evaluate and select coding agents and AI tools, define how they are used across R&D, and create shared context across repositories—including instructions, skills, and MCP servers. • Design Agentic Development Workflows: Define the end-to-end flow from idea to production, including how work and responsibilities are divided between developers and AI agents. • Reimagine the SDLC: Rethink how software is designed, developed, tested, deployed, and maintained, and translate that vision into practical, scalable ways of working. • Shape AI-Ready CI/CD: Define the requirements for faster and more reliable delivery pipelines, including quality gates designed for AI-generated code. Partner closely with DevOps, which will implement and own the pipelines. • Enable Parallel Development at Scale: Establish isolated development environments that can be provisioned quickly, enabling developers and AI agents to work safely and efficiently in parallel. • Build From Zero to Scale: Identify high-impact opportunities, validate ideas quickly, and turn successful experiments into scalable capabilities adopted across the organization. • Turn Innovation Into Impact: Lead POCs and strategic technology initiatives from initial concept through development, implementation, adoption, and measurable organizational impact. • Transform Processes and Team Structures: Adapt development processes, team rituals, roles, and team composition to support AI-native ways of working. Identify areas of inefficiency, time waste and any opportunity to improve productivity; then plan, execute and monitor solutions. • Measure Adoption and Impact: Define success metrics, track tool adoption, organizational impact, performance, and cost, and report transparently on progress and results. • Establish AI Governance: Define AI usage policies and agent permissions in close partnership with Security, ensuring innovation is implemented responsibly and at scale. • Own What You Build: Maintain end-to-end ownership of the tools and capabilities developed by you and your team—from experimentation and implementation through rollout, adoption, and ongoing evolution. • Shape the Technology Vision: Define a forward-looking technology vision, challenge existing assumptions, and explore emerging technologies, architectures, and new possibilities. • Elevate Our Culture of Innovation: Build on Stampli’s existing culture by expanding experimentation, continuous learning, ownership, and entrepreneurial thinking across R&D. What You Will Bring • Significant experience as a technology leader in a product company, such as a Founder, Co-Founder, CTO, Entrepreneur in Residence, or senior technology leader. • Proven experience building and leading high-performing technical teams. • A track record of identifying opportunities and turning early-stage ideas into real products, systems, or organizational capabilities. • Experience leading AI adoption, major technological change, or organization-wide innovation. • Strong technical depth and credibility, with the ability to engage deeply in software architecture, infrastructure, development practices, CI/CD, and AI-assisted development. • Hands-on familiarity with coding agents, AI development tools, agentic workflows, or the infrastructure required to deploy them effectively across an R&D organization. • An AI-native mindset and the ability to rethink how software should be built and how R&D organizations should operate in the AI era. • A builder mentality, with the ability to move quickly from exploration and experimentation to implementation and measurable impact. • An entrepreneurial mindset and the initiative to take action without waiting for a predefined roadmap. • Strategic thinking, with the ability to anticipate future technological shifts while translating them into decisions and actions today. • The ability to challenge senior leaders, influence across teams, and build alignment without relying solely on direct authority. • Strong execution capabilities and the determination to drive complex initiatives from concept through adoption at scale. Why Join Stampli? Stampli is revolutionizing financial operations with AI, far ahead of competitors. For nearly a decade, our AI assistant, Billy, has set the industry standard—processing $100B+ in invoices annually and saving millions of labor hours for 1,600+ customers. More than automation, Billy transforms finance teams by freeing them from manual work. Our explosive growth places us among the top tech companies at our stage, with exceptionally low churn. After conquering the Accounts Payable space, we are now revolutionizing the entire procure-to-pay (P2P) lifecycle with our new platform, which “connects every dot from request to reconciliation.” What sets us apart? We adapt to our customers—not the other way around—integrating with 70+ ERPs in weeks, not months. Our customer-first approach extends to our award-winning workplace culture and vibrant global offices. We have earned multiple Comparably awards, including Best Company Outlook, Work-Life Balance, Compensation, Happiness, and Perks & Benefits. At Stampli, we build exceptional products with exceptional people. Join our dynamic team and grow your career in an environment that champions creativity, collaboration, ownership, and meaningful innovation.

Description Stampli is building finance software in a new way: AI-native, grounded in real financial workflows, and shaped by people who understand the work deeply. We are looking for entrepreneurs with deep finance, fintech and ERP experience who bring strong product judgment. This role is for people who have lived finance systems complexity firsthand and want to use that experience to build product. You might come from finance transformation, ERP, consulting, operations, or fintech. What matters is that you understand where workflows fall short, where controls matter, how better systems should work, and how product decisions create business value. At Stampli, AI-native tools are part of how we build. This role is a chance to turn finance and ERP insight into product faster, with more context and better judgment than traditional product development allows. You’ll collaborate closely with teams across the Bay Area and Israel. What You Will Do • Find high-value opportunities in fintech and ERP workflows that should be redesigned, not just improved • Shape those opportunities into clear product direction with strong user and business value • Define workflow logic, edge cases, controls, exceptions, and handoffs • Decide what should be automated and what should remain human-driven • Work with engineering, design, data and marketing to build and ship new capabilities • Test ideas with customers, learn quickly, and refine fast • Own the path from problem identification to customer value and business impact What You Will Bring • 8+ years of experience in finance, fintech, or ERP financial systems • Deep understanding of financial workflows, ERP systems, and finance operations • Hands-on experience using AI-native tools such as Cursor, Claude Code, Codex, or similar tools to prototype, automate, analyze, and build • A track record of building and launching new initiatives and redesigning how work gets done • Systems thinking and the ability to turn complex workflows into clear product logic • Product sense across user experience, workflow design, automation, controls, and tradeoffs • Business judgment and the ability to connect product decisions to customer value, adoption, differentiation, and monetization • Clear communication, structured thinking, and strong ownership

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. The Role We are looking for a Strong Backend Engineer to join our core CTO team and build the next generation of AI-powered features that simplify global equity management. You’ll design, build and deploy systems and AI agents that extract, understand, and act on complex financial and legal data - in real time. Your work will directly power customer-facing AI interfaces, advanced document automation, and real-time compliance decision engines across the Slice platform. Key Responsibilities • End-to-End System Engineering: Design, build, deploy and maintain robust backend systems and data pipelines, taking features from initial concept all the way to production. • Core Vertical Impact: Contribute to and drive features across our primary AI focuses, including Document Automation, Customer-Facing Agents, real-time decision engines. • AI & Agent Development: Design, Deploy and Evaluate sophisticated AI agents and workflows integrated directly into Slice’s core SaaS infrastructure. • Production Ownership: Own services in production, monitor system health, troubleshoot complex issues, and drive continuous improvements in reliability, performance, and operational excellence. • Production Optimization: Continuously evaluate and fine-tune system and model performance for accuracy, latency, scalability, and cost. • Cross-Functional Collaboration: Partner directly with the CTO, platform engineers, product, and design teams to deliver user-facing AI capabilities. • Stay current with advances in LLMs, text analysis, and generative AI to guide product innovation. Requirements Required Qualifications • Core Backend Development: 6+ years of experience in backend heavy engineering. • strong proficiency in Python - Must. • Product Ownership: Ability to take projects end-to-end from research to production rollout, while translating product requirements into production-ready engineering solutions. • Experience in cloud-based deployment (GCP preferred). • Communication: Excellent written and spoken English, with strong collaboration skills. Nice to Have • Agentic Frameworks: Solid experience building and integrating AI agents and workflows using frameworks like LangGraph, LangChain, PydanticAI etc. • Applied AI :deploying practical AI/ML systems into real-world production environments. • NLP & Text Processing: Familiarity with NLP/ LLM architectures, and text-extraction or document-processing pipelines. • Experience with vector databases or RAG pipelines. • Familiarity with compliance, fintech, or document-intensive domains. Why Join Slice • Build with purpose: Apply AI to solve global compliance at scale. • High ownership: Work directly on product-critical systems with real customer impact. • Technical depth: Work across architecture, UX, and infrastructure. • Collaboration: Partner with top engineers and alumni of elite technology units. • Team culture: Collaborative, ambitious, and impact-driven. • Startup energy: Join a high-growth company backed by top investors, scaling globally, and redefining fintech infrastructure.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. The Role We are looking for a Strong AI Backend Engineer to join our core R&D team and build the next generation of AI-powered features that simplify global equity management. You’ll design, build and deploy systems and AI agents that extract, understand, and act on complex financial and legal data - in real time. Your work will directly power customer-facing AI interfaces, advanced document automation, and real-time compliance decision engines across the Slice platform. Key Responsibilities • AI & Agent Development: Design, Deploy and Evaluate sophisticated AI agents and workflows integrated directly into Slice’s core SaaS infrastructure. • End-to-End System Engineering: Design, build, and maintain robust backend systems and data pipelines, taking features from initial concept all the way to production. • Core Vertical Impact: Contribute to and drive features across our primary AI focuses, including Document Automation, Customer-Facing Agents, real-time decision engines. • Production Optimization: Continuously evaluate and fine-tune system and model performance for accuracy, latency, scalability, and cost. • Cross-Functional Collaboration: Partner directly with the CTO, platform engineers, product, and design teams to deliver user-facing AI capabilities. • Stay current with advances in LLMs, text analysis, and generative AI to guide product innovation. Requirements Required Qualifications • Core Backend Development: 6+ years of experience in backend engineering (with strong proficiency in Python). • Applied AI Experience: 2+ years of hands-on experience as an AI Engineer, with a proven track record of deploying practical AI/ML systems into real-world production environments. • Agentic Frameworks: Solid experience building and integrating AI agents and workflows using frameworks like LangGraph, LangChain, PydanticAI etc. • Product Ownership: Ability to take projects end-to-end from research to production rollout, while translating product requirements into production-ready engineering solutions. • Communication: Excellent written and spoken English, with strong collaboration skills. Nice to Have • NLP & Text Processing: Familiarity with NLP/ LLM architectures, and text-extraction or document-processing pipelines. • Experience with vector databases or RAG pipelines. • Familiarity with compliance, fintech, or document-intensive domains. • Experience in cloud-based ML deployment (GCP preferred). Why Join Slice • Build with purpose: Apply AI to solve global compliance at scale. • High ownership: Work directly on product-critical systems with real customer impact. • Technical depth: Work across architecture, UX, and infrastructure. • Collaboration: Partner with top engineers and designers in Tel Aviv. • Team culture: Collaborative, ambitious, and impact-driven. • Startup energy: Join a high-growth company backed by top investors, scaling globally, and redefining fintech infrastructure.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. We’re looking for an experienced, hands-on Senior AI Researcher to lead research efforts at Slice and help shape the next generation of AI capabilities across our platform. You’ll explore complex, domain-specific challenges, define research directions, and translate promising ideas into practical product capabilities. Your work will span applied research, experimentation, and model development—including building and adapting large and small language models using proprietary data, domain knowledge, and modern training techniques. You’ll work with complex financial documents, structured and unstructured financial data, and legal and compliance data and knowledge, developing approaches that help AI interpret and reason across these sources. Working closely with the CTO, engineering teams, and domain experts, you’ll have significant ownership over both the questions we investigate and the approaches we take. We’re looking for someone who combines strong research fundamentals with the drive to build, test, and bring ideas into production. What You’ll Do • Lead applied AI research efforts. Identify meaningful opportunities, shape the research roadmap, and drive initiatives from initial exploration through validation and implementation. • Build and improve models. Develop, train, and adapt models using approaches such as fine-tuning, post-training, distillation, and other relevant techniques. • Work with complex documents and data. Explore methods for understanding and reasoning over financial documents, structured business data, and legal and compliance information, in collaboration with domain experts. • Drive rigorous experimentation. Formulate hypotheses, build datasets and evaluation frameworks, and systematically measure performance, reliability, and tradeoffs. • Connect research to real-world applications. Collaborate with engineers and domain experts to turn research outcomes into scalable, production-ready capabilities. • Advance our research practices. Evaluate emerging methods, share findings, and help establish strong standards for experimentation, model development, and responsible use of data. Requirements What You’ll Bring • 6+ years of experience in AI/ML research or applied science, with a strong background in deep learning and recent hands-on experience with language models. • Proven experience building, training, or adapting models, including ownership of data preparation, experimentation, and evaluation—not just integrating third-party model APIs. • Strong proficiency in Python and modern deep learning frameworks, such as PyTorch, and familiarity with the language-model training ecosystem. • A solid understanding of model architectures, optimization, training methodologies, and evaluation.. • Strong research judgment: the ability to frame ambiguous problems, design meaningful experiments, analyze results, and make evidence-based decisions. • The ability to work independently, take technical ownership, and collaborate effectively with engineering, product, and domain experts. Nice to Have • An M.Sc. or Ph.D. in Computer Science, Machine Learning, or a related field, or an equivalent research track record. • Experience with advanced post-training methods, reinforcement learning, synthetic data, knowledge distillation, or efficient model training and inference. • Experience in document understanding, information extraction, or reasoning across structured and unstructured data, particularly in financial, legal, or compliance domains. • Research publications, meaningful open-source contributions, or a track record of bringing research into production. Why Join Slice • Build with purpose: Apply AI to solve global compliance at scale. • High ownership: Work directly on product-critical systems with real customer impact. • Technical depth: Work across architecture, UX, and infrastructure. • Collaboration: Partner with top engineers and alumni of elite technology units. • Team culture: Collaborative, ambitious, and impact-driven. • Startup energy: Join a high-growth company backed by top investors, scaling globally, and redefining fintech infrastructure.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. The Role We are looking for a Customer Success Manager with a tax or accounting background to guide companies through the financial and compliance complexities of global equity compensation. You’ll work directly with CFOs, controllers, and finance leaders, helping them navigate equity-related guidance, valuation inputs, equity modifications, and reporting workflows. Your expertise will shape how customers adopt Slice and will influence the product direction for equity accounting automation. Key Responsibilities ● Lead onboarding for customers implementing tax- and accounting-focused equity workflows. ● Advise customers on equity-related guidance, valuation models, and stock-based compensation reporting. ● Ensure correct setup and ongoing accounting treatment/compliance for options, RSUs, PIUs, and other equity instruments. ● Interpret modification events, expense impacts, and audit requirements with clarity and precision. ● Collaborate with Product and R&D to improve our accounting modules and accurate accounting & tax reporting across the platform. ● Serve as a trusted advisor to finance leaders navigating both routine and advanced accounting scenarios. ● Build and maintain strong customer relationships to drive long-term success. Required Qualifications ● CPA or equivalent credential. ● Background in tax, accounting, financial reporting, or audit (Big 4 preferred). ● Deep understanding of ASC 718, IFRS 2, and equity compensation accounting. ● Experience supporting audit cycles, close processes, or SBC reporting. ● Ability to communicate complex financial concepts clearly to customers. ● Excellent English and collaboration skills. ● Ability to work autonomously in a fast-paced environment. Nice to Have ● Experience with multi-jurisdiction tax requirements for equity. ● Experience with equity platforms, payroll systems, or global finance environments. Why Join Slice ● Build with purpose: Apply tax expertise to automate global equity compliance. ● High ownership: Influence a product used by finance teams worldwide. ● Technical depth: Engage with complex accounting logic and real customer data flows. ● Collaboration: Work closely with engineering, product, and design to shape automation. ● Team culture: Smart, analytical, and mission-driven colleagues. ● Startup energy: Join a rapidly scaling global platform backed by top investors.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. The Role We are looking for a Customer Success Manager with a corporate legal background to join our customer-facing team and help companies navigate the legal and operational complexities of global equity management. You’ll work directly with general counsels, founders, and legal teams—guiding them through equity plans, corporate governance workflows, and document-heavy compliance processes. You’ll translate legal foundations into practical workflows inside Slice and collaborate with Product and R&D to influence the next generation of compliance and automation tools. Key Responsibilities ● Lead customer onboarding, training, and long-term relationship management. ● Translate complex legal and financial concepts into clear, actionable guidance inside the Slice platform. ● Proactively identify opportunities to increase product adoption, improve workflows, and surface customer insights to the product team. ● Partner closely with Product, R&D, and Design to improve legal workflows, automation, and document understanding. ● Become a trusted advisor to customers navigating both routine and advanced legal/compliance scenarios. ● Build long-term customer relationships to ensure successful adoption and retention. Required Qualifications ● LLB/JD ● 2+ years as a corporate lawyer, legal associate, or counsel. ● Experience advising founders, legal teams, or VC-backed companies. ● Excellent written English and communication skills. ● Ability to drive projects end-to-end in a fast-paced environment. ● High ability to multitask and manage several matters simultaneously without compromising quality. ● Tech-savvy mindset - comfortable using modern software tools and adapting quickly to a high-tech, product-driven environment. ● Strong customer-facing skills, with experience working directly with clients and delivering a positive, professional experience. Nice to Have ● Experience with equity platforms or cap table systems. ● Exposure to global entities and multi-jurisdiction equity plans. ● Background in startup law, venture financing, or equity compensation structures. Why Join Slice ● Build with purpose: Apply legal expertise to shape global compliance automation. ● High ownership: Work directly on customer-critical workflows with real-world impact. ● Technical depth: Operate at the intersection of legal, product, and financial engineering. ● Collaboration: Partner with top engineers, designers, and product leaders in Tel Aviv. ● Team culture: Ambitious, supportive, and impact-driven. ● Startup energy: Join a fast-growing company backed by leading investors and scaling globally. Requirements ● LLB/JD ● 2+ years as a corporate lawyer, legal associate, or counsel. ● Experience advising founders, legal teams, or VC-backed companies. ● Excellent written English and communication skills. ● Ability to drive projects end-to-end in a fast-paced environment. ● High ability to multitask and manage several matters simultaneously without compromising quality. ● Tech-savvy mindset - comfortable using modern software tools and adapting quickly to a high-tech, product-driven environment. ● Strong customer-facing skills, with experience working directly with clients and delivering a positive, professional experience.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you.  We’re hiring a Senior Full Stack Engineer to join our core product team. This is a hands-on role spanning backend and frontend development - ideal for someone who thrives on ownership, loves solving complex problems, and enjoys shipping products that matter. Key Responsibilities • Design and develop scalable features across the stack (React, NestJS, Prisma). • Own features from design to deployment, ensuring robustness and performance. • Collaborate with product, design, and AI teams on end-to-end product development. • Build testable, maintainable, and well-structured codebases. • Contribute to architectural discussions and long-term product strategy. Requirements Required Qualifications • 6+ years of professional experience in full-stack engineering. • Strong expertise in React.js and Node.js. • Experience with Prisma ORM, PostgreSQL, MongoDB, and Redis. • Skilled with Docker, GCP, and CI/CD pipelines. • Proven ability to own complex systems from development to production. Nice to Have • Experience in microservice architecture and distributed systems. • Familiarity with NestJS, Prisma ORM, or other backend frameworks • Exposure to AI-powered or data-driven product environments. • Interest in equity, fintech, or compliance systems. Why Join Slice • End-to-end ownership: Build features users see and systems that power them. • Technical depth: Work across architecture, UX, and infrastructure. • Collaboration: Partner with top engineers and designers in Tel Aviv. • Team culture: Collaborative, ambitious, and impact-driven. • Build with purpose: Help modern companies stay compliant globally through automation. • Startup energy: Join a high-growth, global company redefining fintech infrastructure.

Honeycomb Insurance At Honeycomb, we're not just building technology; we’re reshaping the future of insurance. In 2025, Honeycomb was recognized by Dun & Bradstreet as “Top 10 Best Start Up Companies to Work For” in Israel, named by LinkedIn as “Top 10 Startups in Chicago”, and Newsweek’s "Greatest Startup Workplaces in America, 2025". Through the first half of 2026 we’ve been recognized on Inc. Magazine’s "Best Workplaces" List and Forbes "Fintech 50". How did we earn these honors? Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 6 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another. With over $100B in insured assets, Honeycomb operates across 23 states, covering more than 65% of the U.S. population and increasing its coverage. If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you’ve been looking for. • About The Role We are looking for a Senior Data Science Researcher to join Honeycomb's AI team, the team behind underwriting decisions, quote-time risk scoring, and portfolio analytics. In this role, you will own entire research directions: framing the problem, deciding what's worth measuring, designing the approach from first principles, and turning the result into production signal. The work is production-oriented applied research on hard, real-world datasets where standard recipes don't apply and the right method often has to be invented for the problem. What You'll Do - Own open-ended research directions end-to-end - from a vague business question to a deployed, validated signal. - Work across the team's core research areas — risk modeling, environmental and catastrophe modeling, and behavioral modeling - translating complex real-world processes into reliable predictive signal. - Deeply investigate existing production models - understand what they actually learn, where they break, and where the headroom is; identify and ship optimizations grounded in that understanding. - Design approaches from first principles when off-the-shelf methods don't fit the data. - Build rigorous evaluations and own the result in production, not just the notebook. - Document research clearly so findings are reproducible, auditable, and compound over time. Requirements - MSc. or PhD in Statistics, Applied Math, Physics, or a closely related quantitative field. - Real research experience - a track record of driving original investigations end-to-end (academic research, a research-heavy PhD, industry R&D, or equivalent), not only applied ML delivery. - Strong mathematical or statistical problem-solving instincts - able to model a messy real-world system from scratch, not just apply a library. - Production deployment experience: monitoring, CI/CD, data validation, reproducibility. - Ability to independently initiate, plan, and drive entire research directions. - Team player, positive, driven, independent, fast learner. Advantages - Depth in classical statistics, causal inference, or applied probability. - Deep learning experience. - Clean coding and repository-maintenance habits.

Honeycomb Insurance At Honeycomb, we're not just building technology; we’re reshaping the future of insurance. In 2025, Honeycomb was recognized by Dun & Bradstreet as “Top 10 Best Start Up Companies to Work For” in Israel, named by LinkedIn as “Top 10 Startups in Chicago”, and Newsweek’s "Greatest Startup Workplaces in America, 2025". Through the first half of 2026 we’ve been recognized on Inc. Magazine’s "Best Workplaces" List and Forbes "Fintech 50". How did we earn these honors? Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 6 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another. With over $100B in insured assets, Honeycomb operates across 23 states, covering more than 65% of the U.S. population and increasing its coverage. If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you’ve been looking for. What You’ll Do This is a highly autonomous role. You'll work independently, taking full ownership of complex, end-to-end initiatives from initial scoping all the way to production. You'll build and evolve the backend services that power Honeycomb's data platform, enabling reliable, scalable, and efficient data processing across the organization. • Take ownership of complex services and features, working independently to deliver high-quality solutions and use AI coding tools (Claude Code, Copilot, etc.) as a natural accelerant in your daily workflow • Play a key role in refactoring systems to build more robust, scalable, and streamlined services, including deep infrastructure work and modern service architecture leveraging AI-assisted analysis and code generation where it adds real value • Design and build core micro-services, laying the foundation for our product and internal platforms • Collaborate with product managers, architects, and other developers to understand requirements and translate them into technical specifications • Stay current with the rapidly evolving AI tooling landscape proactively evaluating new models, prompting strategies, and AI-assisted workflows that can meaningfully improve how the team builds Basic Requirements • 5+ years (senior level) working with Node.js or Java • 3+ years working with MongoDB • 1+ years of experience with the NestJS framework • Experience working with microservices architecture • B.Sc in Computer Science / Software Engineering or equivalent field • Independent but knows how to be professionally dominant in a team • Demonstrated fluency with AI coding tools (e.g., Claude Code, GitHub Copilot,) as a genuine accelerant in day-to-day engineering not just occasional use Nice to Have • Working with Kubernetes and Docker deployment • Experience with Firebase Services like Functions, Storage and Authentication

Honeycomb Insurance At Honeycomb, we're not just building technology; we’re reshaping the future of insurance. In 2025, Honeycomb was recognized by Dun & Bradstreet as “Top 10 Best Start Up Companies to Work For” in Israel, named by LinkedIn as “Top 10 Startups in Chicago”, and Newsweek’s "Greatest Startup Workplaces in America, 2025". Through the first half of 2026 we’ve been recognized on Inc. Magazine’s "Best Workplaces" List and Forbes "Fintech 50". How did we earn these honors? Honeycomb is a rapidly growing global startup, generously backed by top-tier investors and powered by an exceptional team of thinkers, builders, and problem-solvers. Dual-headquartered in Chicago and Tel Aviv (R&D center), and with 6 offices across the U.S., we are reinventing the commercial real estate insurance industry, an industry long overdue for disruption. Just as importantly, we ensure every employee feels deeply connected to our mission and one another. With over $100B in insured assets, Honeycomb operates across 23 states, covering more than 65% of the U.S. population and increasing its coverage. If you’re looking for a place where innovation is celebrated, culture actually means something, and smart people challenge you to be better every day - Honeycomb might be exactly what you’ve been looking for. About the Role We are looking for a hands-on DevSecOps Engineer to strengthen the security of Honeycomb's cloud-native environment, working closely with our Security, Engineering, DevOps, and AI teams. The role centers on Google Cloud Platform (GCP), Kubernetes, vulnerability management, container and CI/CD security, cloud security posture, and AI security. You will identify and remediate security risks across our infrastructure, applications, pipelines, and AI environments, while building automation and controls that let our teams move quickly and securely. Responsibilities ● Identify, prioritize, and drive remediation of security vulnerabilities (CVEs) across container images, application dependencies, Kubernetes workloads, and GCP infrastructure, in partnership with Engineering, DevOps, and AI teams. ● Secure our GCP and Kubernetes environments: IAM, networking, logging, cluster and workload hardening, RBAC, secrets, and network policies. ● Own container security practices, including image scanning, base image management, secrets management, and runtime security. ● Operate SAST, SCA, and CSPM tools to surface code, dependency, and cloud misconfiguration risks, and help teams remediate findings. ● Partner with the AI team to secure AI applications, models, agents, APIs, and development environments, including access controls, data protection, and monitoring of both internal and third- party AI tools. ● Implement automated security gates and policy enforcement throughout CI/CD pipelines and the SDLC, without slowing development. ● Establish and improve vulnerability management processes: risk-based prioritization, remediation SLAs, exception management, and reporting. ● Automate security and operational tasks with Bash, Python, or similar. ● Support security monitoring and incident response across cloud infrastructure, applications, and AI workloads. ● Promote DevSecOps best practices and help build a security-first engineering culture. Requirements ● Proven experience as a DevSecOps Engineer, or DevOps Engineer with a strong security focus. ● Hands-on experience with GCP security and running Kubernetes in production. ● Hands-on experience managing CVEs, vulnerability remediation, patching, and risk-based prioritization. ● Strong Linux skills, including hardening, troubleshooting, networking, and logs. ● Experience with container security and CI/CD security, including integrating scanning and controls into pipelines. ● Experience with SAST/SCA tools (e.g., Semgrep, Snyk, SonarQube) and CSPM platforms (e.g., Wiz, Prisma Cloud, CrowdStrike Falcon Cloud Security). ● Solid scripting in Bash and/or Python. ● Ability to work hands-on with engineering and AI/ML teams to investigate and remediate security issues. ● Fluent English, written and verbal. Advantages ● Experience securing GKE at scale, including Google Cloud IAM, Workload Identity, and VPC networking. ● Infrastructure as Code and GitOps tools such as Terraform, Helm, or ArgoCD. ● Software supply-chain security (SBOM, dependency management) and Kubernetes policy tools (admission controllers, Pod Security Standards, policy-as-code). ● Familiarity with CIS Benchmarks, OWASP, NIST, or ISO 27001. ● Experience with SIEM, cloud detection, and incident response. ● Background in fintech, insurance, or other regulated environments.

Description Reco is the leader in SaaS & AI Security the only approach that secures AI sprawl across SaaS apps & agents. Close the security gap in your expanding AI footprint. Reco helps organizations discover, govern, and secure their SaaS and AI ecosystem, enabling security teams to manage risk and confidently adopt AI technologies at scale. About the Role We are looking for a Product Manager with a strong cybersecurity background and proven experience building AI-powered products. You will own product strategy and execution end-to-end, working closely with Engineering, Security Research, and GTM teams to deliver innovative solutions that help customers secure their SaaS and AI environments. Responsibilities • Lead the product lifecycle from strategy and roadmap to delivery and launch. • Define and drive AI-powered product capabilities and user experiences. • Collaborate closely with Engineering, Security Research, and GTM teams. • Work directly with customers to validate product direction and prioritize opportunities. • Define and monitor KPIs to measure product success and drive continuous improvement. • Translate complex security and AI challenges into scalable product solutions. Requirements • 4–5 years of Product Management experience, including experience at a cybersecurity company. • Strong technical aptitude, with the ability to understand data models, system architecture, and how security detections operate under the hood. • Proven experience delivering AI-powered product capabilities from concept to production, with hands-on involvement in defining, validating, and launching AI-driven features. • Strong customer-facing skills with a demonstrated ability to transform ambiguous security challenges into clear, validated product opportunities. • Comfortable operating in a fast-paced startup environment, building products from ambiguity without predefined playbooks or processes. • Data-driven mindset with experience defining product metrics, measuring outcomes, and using insights to drive prioritization and decision-making. • Proven track record of partnering closely with engineering teams to deliver highly technical products. • Strong background in security-related domains. • Excellent communication skills, with the ability to align technical and business stakeholders around product strategy and execution.

• Career Development • Competitive Compensation And Benefits • Pay Transparency • Global Opportunities Learn More Here: https://www.dematic.com/about/careers/ About Dematic Dematic is a global leader in intelligent intralogistics and material handling solutions. With a rich history of innovation and a commitment to excellence, we provide cutting-edge technology and expertise to optimize our clients' supply chains. We offer an inclusive and collaborative work environment where employees can thrive and make a meaningful impact. We offer: The Maintenance Technician (m/f/d) is part of the on-site Service and Maintenance Team. They are responsible for the overall maintenance performance of our customer's logistics centre in accordance with the contractual framework. Through proactive work, They will detect system faults in time and minimise the impact. They perform fault analysis and apply remedies. they will report to the Site Manager when the needed measures/ works can affect the facility operations. Tasks and Qualifications: General responsibilities: • Execution of planned and unplanned maintenance and repair activities in compliance to safety regulations. • Inventory management; spare and wear parts. • Functional tests of the installed/ replaced parts. • Reporting to the Site Manager regarding: • Faults and their causes. • Consumption of spare parts. • Special events. • Suggestions for system improvement. • Execution of small work orders. • Supervision of repair works executed by subcontractors. Your qualitication: • Practical Electrical/ Mechanical/ Mechatronics Engineering or similar education. • Electrical license. • Available to work in the Area of Shoham Industrial Area • Valid Driver License • minimum of 2 years experience in maintenance on automated distribution warehouses • Basic PLC S7 and Allen Bradley PLC skills beneficial. • Flexible to work irregular hours/ days when necessary. (Shift System)

Who we are DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world. We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us. What will you do You will join a team of experienced engineers and help them in developing our innovative Brand Safty products. You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system. You’ll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards. Who you are • 5+ years of experience coding in an industry-standard language such as Scala, Java, Rust, Closure, Kotlin, Go etc. • Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading and distributed systems. • Experience with in-memory distributed cache such as Aerospike or Redis and messaging systems such as Apache Kafka, etc. • Experience working with Docker, Kubernetes and designing scalable microservices architecture. • Experience in working with SQL (MySQL, PostgreSQL) and Columnar/NoSQL Databases such as (BigQuery, Vertica, Snowflake, Couchbase, Cassandra, etc.). • Experience working in a BigData environment and building scalable distributed systems with stream processing technologies such as Akka Streams, Kafka Streams/Spark/Flink. • Experience working with cloud providers such as GCP or AWS • BSc in Computer Science or equivalent experience. • Experience with Agile development, CI/CD pipelines (Git ,GitLab or Jenkins) and coding for automated testing. • A versatile developer with a “getting-things-done” attitude. Nice to have • Previous experience with online advertising technologies is a big plus. • Familiarity with the cloud-native computing foundation. #Hybrid

Who We are DoubleVerify is a big data and analytics company. We track and analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies. If you have ever seen an Ad online via a web, mobile, or CTV device, then there are great chances that it was analyzed and measured by us. We operate at a massive scale; our backend handles over 100B+ events per day, we analyze and process those events in real-time while making decisions on the environment where the ad is running and all the user interactions during the Ad display lifecycle. We verify that all Ads are Fraud Free, Brand Safe, in the right Geo and highly likely to be viewed and engaged, all that in less than a fraction of a second. We are global and have R&D centers in Tel Aviv, New York, Helsinki, Ghent, and Paris. We work in a fast-paced environment and face many challenges to solve. If you like to solve big data challenges and want to help us build a better industry, then your place is with us! What You’ll Do The Senior Product Analyst is a key player in the Product department and helps drive data-driven decisions across different product domains. The Senior Product Analyst role includes bridging our data science endeavors with operational excellence, guiding the development of ML/AI technologies that power our classification systems querying and analyzing data, evaluating feature alternatives, designing experiments, and planning and creating dashboards. The individual in this role will work directly with Product Managers to support product decision questions and analyses. This role owns the Classification & Brand Safety analytics domain for Open Web — the content ontology, site/page classification pipelines, and brand-safety suitability metrics that underpin our brand safety product suite. It also carries an explicit mandate to grow the team's analytics engineering maturity and to help design the next generation of AI-assisted / agentic analytics workflows that are replacing purely manual, reactive reporting and support. This role is part of a professional Product Analysis group supporting core products serving advertisers and publishers across the digital landscape. The role requires big data analysis, attention to detail, business understanding, and strong product intuition. Communication skills are incredibly important, as the position interfaces across functions and geographies. Job Responsibilities • Gathering and analyzing large amounts of information to discover & develop compelling, insightful, data-driven recommendations. • Communicating state of business, experiment results, etc. to product, data science and engineering teams. • Defining and monitoring key product metrics & system health, conducting root cause analyses. • Asking business and product-relevant questions and answering them with data. • Gaining a deep understanding of the products and their development processes, determining how to solve everyday issues best, and suggesting new features to solve ongoing issues. • Supporting and extending internal AI-driven recommendation systems for brand safety insights ; building the underlying data foundations, decision matrices, and parameterized SQL libraries that power agentic/conversational reporting tools, and helping identify and mitigate failure modes (e.g., hallucinations and AI Slop) in these agentic flows. • Building, testing, and maintaining analytics-engineering-grade data pipelines. • Leading or supporting high-visibility client escalations and QBRs with the Operations team (e.g., major advertiser recall/precision reviews), translating methodology into clear, defensible findings for external and internal stakeholders. Who You Are • BA/BSc degree. • 5+ years of experience with quantitative analysis. • Extensive hands-on experience with SQL • Hands-on experience with Python (for data manipulation), Excellent understanding of statistics (e.g., hypothesis testing, regression types). • Hands-on experience with, or strong motivation to develop, analytics engineering skills — building and maintaining DBT models (or equivalent), including staging/intermediate/mart layering, tests, and documentation. • Capable of working simultaneously on multiple tasks. • Comfort working with large-scale cloud data warehouses (Databricks, BigQuery, Snowflake) and BI/semantic layers (Looker/LookML). • Working familiarity with AI/LLM-assisted analytics workflows — e.g., using AI coding assistants (Claude Code, Cursor) for query and pipeline development, and a basic understanding of the difference between deterministic metric logic and probabilistic agentic systems, including their failure modes (hallucinations, prompt drift etc.) • Excellent verbal and written communication skills in English. Preferred Qualifications • BA/BSc in a quantitative field: Statistics / Mathematics/ Economics /Computer Science, Physics/ Biology/ Psychology/ Chemistry/ Engineering, or other technical fields. • MA in a quantitative field • Hands-on dbt project experience (models, tests, macros, CI/CD via GitLab) and familiarity with analytics engineering best practices (semantic layer design, gold-table modeling, data quality/QA frameworks). • Experience designing or contributing to agentic/AI-assisted reporting tools (e.g., data contracts for LLM-driven report or recommendation generation, prompt design, retrieval pipelines). • Experience with Git-based version control and CI/CD for analytics code (GitLab CI/CD or similar).

Description We’re looking for Principal Cloud Security Researcher with a strong security background to join our innovative Research team. Why Mitiga? EDR protects the endpoint. Mitiga protects everything else, anticipating and disrupting active attacks across the modern stack and stopping them before they reach the business. Mitiga is the leader in Zero-Impact Breach Prevention, delivered through Agentic Runtime Security for the modern infrastructure — cloud, SaaS, identity, and AI. By delivering the runtime detection and response that security teams already rely on for endpoints, extended to the infrastructure endpoint tools can’t see, Mitiga provides Zero-Impact Breach Prevention, in runtime. The Role We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization. You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team. What You'll Do Drive Groundbreaking Research • Own and drive Mitiga's most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication. • Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats. • Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities. • Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it. Be a Voice in the Community • Represent Mitiga as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions. • Build and maintain Mitiga's reputation as a research-driven company that advances the field - not just a vendor with a blog. • Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing. Shape the Product • Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats. • Design and develop advanced detection algorithms that directly feed into Mitiga's platform, closing the gap between research insight and customer protection. Elevate the Team • Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to. • Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices. • Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities. • Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity. Requirements Who You Are • 8+ years in security research, threat research, or closely related fields (offensive security, detection engineering, incident response, cloud security engineering). Fewer years are fine if your depth and track record are exceptional. • Deep multi-cloud expertise - strong hands-on experience across at least two of the major cloud providers (AWS, Azure, GCP), with working knowledge of the third. You understand the IAM models, logging pipelines, APIs, and attack surfaces that matter in each. • A track record of original research - you've published meaningful technical findings through blog posts, conference talks, open-source tools, or vulnerability discoveries that moved the needle. We want someone who doesn't just consume research - you produce it. • Strong adversarial mindset and critical thinking - you think like an attacker targeting cloud infrastructure, SaaS platforms, identity systems, and Kubernetes. You can model threat scenarios, map out attack paths, and poke holes in defenses. • Ability to operate autonomously on ambiguous, high-stakes problems. You don't wait for detailed specs - you identify what matters and drive it forward. It Would Be Nice If You Also Had • Experience with cloud forensics and incident response (DFIR in cloud/SaaS environments). • Background in red teaming or penetration testing targeting cloud environments. • Familiarity with Kubernetes security, container escape techniques, and cloud-native supply chain risks. • Experience building or contributing to threat intelligence frameworks or detection content libraries. Some More Details and Perks • Location: Tel Aviv, IL • Hybrid work Environment • Competitive compensation package with stock options, educational fund, cibus. • Top of the line equipment For more information visit us at www.mitiga.io Mitiga is an equal opportunity employer, committed to diversity and inclusiveness and aim to attract, retain, and engage a diverse workforce. We consider all qualified applicants without regard to race, color, nationality, gender, gender identity, sexual orientation, religion, disability, age or any other characteristic protected by law.

Description We’re looking for a strong Senior SW Engineer to join our Data team. Why Mitiga? EDR protects the endpoint. Mitiga protects everything else, anticipating and disrupting active attacks across the modern stack and stopping them before they reach the business. Mitiga is the leader in Zero-Impact Breach Prevention, delivered through Agentic Runtime Security for the modern infrastructure — cloud, SaaS, identity, and AI. By delivering the runtime detection and response that security teams already rely on for endpoints, extended to the infrastructure endpoint tools can’t see, Mitiga provides Zero-Impact Breach Prevention, in runtime. The Role Our detection engine is a large Python codebase running PySpark over cloud, SaaS, and identity data at scale on Databricks. You’ll own its engineering quality — hardening what’s there and extending it — working alongside the cyber investigators who define what it should catch. In this role, you will: · Harden and extend a large production Python codebase: refactoring, module and API design, typing, test coverage. · Own and optimize critical PySpark workflows processing massive security datasets across multi-cloud environments — correctness and cost both. · Design the data models and queries the engine depends on, and fix the slow ones. · Work directly with cyber investigators to turn attacker behavior into detection logic that holds up in production. · Build with AI as a core tool: AI coding agents daily, and the AI tooling the team runs on — agentic and automated workflows (n8n or similar) and LLM-backed services on Bedrock or vendor APIs. · Raise the bar on engineering practice — code review, CI, and the standards the team holds each other to. · Contribute to architectural decisions and technical direction as the platform evolves. Requirements Who you are · 5+ years of production Python at a company — typing, refactoring code you didn’t write, module and API design, pytest, packaging, and a real code-review culture. · Hands-on SQL — you design schemas and you fix slow queries, not just read them. · AI-native — AI coding agents (Claude Code) are part of how you work, and you’ve shipped something real on top of an LLM: prompt design, structured outputs, orchestrating multi-step or agentic flows, and testing behavior that isn’t deterministic. Which platform you used matters far less than having done it. · Fluent in Git and CI — you read a failed pipeline and fix it yourself. · Energized by fast-paced startup environments where ownership, adaptability, and collaboration are essential to success. It Would Be Nice If You Also Had: AWS (S3, IAM, compute) and AWS Bedrock · workflow automation and agent platforms (n8n, LangGraph, Temporal) · MCP servers or tool-calling integrations · both Spark and Kafka · a security, detection-engineering, or SIEM background. Some More Details and Perks Some More Details and Perks Location: Tel Aviv, IL Hybrid work Environment Competitive compensation package with stock options, educational funds, cibus. Top of the line equipment For more information visit us at www.mitiga.io Mitiga is an equal opportunity employer, committed to diversity and inclusiveness and aim to attract, retain, and engage a diverse workforce. We consider all qualified applicants without regard to race, color, nationality, gender, gender identity, sexual orientation, religion, disability, age or any other characteristic protected by law.

Are you ready to shape the future of intelligent transportation technology? Join Autofleet as a Group Lead within our growing engineering teams. This pivotal role requires combining a strong technical vision with organizational leadership. You will define the technical direction for a critical domain, lead a global group of fullstack teams, and ensure we build scalable, high-performance systems that power real-time fleet optimization worldwide. This is a unique opportunity to influence both technology and people at scale within a rapidly growing global company. Key Responsibilities: Technical Vision & Architecture Ownership • Ability to roll up your sleeves and get into the details and be hands on where needed. • Define and drive the architectural strategy, as well as ensuring systems are built for long-term performance, scalability, reliability, and maintainability. • Lead complex, cross-functional system design initiatives, covering real-time workflows, large-scale data processing, and distributed services. • Establish and enforce engineering standards and best practices across development teams. Engineering Leadership • Lead, mentor, and foster continuous growth for a group of full-stack engineers, promoting a culture of ownership and engineering excellence. • Drive strategic organizational scaling through active involvement in the hiring process. • Build clear career development paths for team members. Strategic Delivery & Business Impact • Collaborate closely with Product Management and Business teams to define technical roadmaps, strategy, and ensure execution aligns with core company goals. • Work cross-departmentally with teams to deliver robust systems and exceptional user experiences. • Oversee the successful end-to-end delivery of large, complex, and cross-team initiatives. • Translate complex mobility and optimization challenges into robust, scalable technical solutions. Requirements • 5+ years of experience in engineering management, including managing team leads or senior engineers. • 10+ years of professional software development experience. • Proven track record of successfully leading large-scale, cross-team technical initiatives. • Proficient background in javascript/typescript, and strong knowledge in Node. • Experience in React- an advantage. • Proven track record leading teams that design, scale, and operate distributed, high-performance systems in complex production environments. • Demonstrated ability to translate complex, abstract business challenges into clear technical direction, scalable architecture, and execution plans delivered through engineering teams.

We are making the future of Mobility come to life starting today. At Autofleet we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization. We are looking for a talented AI Applied Researcher to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes. What You’ll Do • Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions • Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails and audit trails. • Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback. • Collaborate with engineering teams to design, build, and maintain production pipelines. • Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services. Requirements • Master’s/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field. • 3+ years of applied AI/ML experience with a focus on Generative AI, LLMs, and deep learning. • Depth in agentic system design, retrieval-augmented generation, context and tool engineering, and rigorous evaluation. • Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch) • Familiarity with embedding models and vector databases • Exceptional problem-solving, creative thinking, and analytical skills. • Experience with voice AI technologies, speech recognition, or text-to-speech systems - strong advantage.

At Autofleet, we’re powering the future of mobility by enabling the world’s largest fleet operators and transportation providers to optimize operations and launch new mobility services at scale. As we continue to grow globally, we are looking for an experienced, hands-on IT Manager to own and scale our internal IT operations, infrastructure, and employee technology experience. About the Role This is a highly impactful, sole-contributor role responsible for the day-to-day operation, reliability, and scalability of Autofleet’s IT environment across offices and remote employees globally. We are looking for someone who combines strong technical expertise with operational ownership and excellent service orientation. The ideal candidate has experience managing IT infrastructure, networking, endpoint management, SaaS administration, and vendor coordination in a fast-paced environment. This role will serve as the primary owner of internal IT operations and partner closely with Security, HR, Facilities, external vendors, and our counterparts at Element, our parent company, to ensure alignment across shared systems, infrastructure, and IT initiatives. Responsibilities IT Operations & Support • Own internal IT operations and employee technical support globally • Manage onboarding/offboarding processes, endpoint provisioning, and access management • Troubleshoot and resolve escalated hardware, software, connectivity, and infrastructure issues • Establish and improve IT processes, documentation, and support workflows Network & Infrastructure Management • Manage office network infrastructure, wireless environments, VPN connectivity, and related vendors • Troubleshoot network performance, connectivity, and reliability issues across office and remote environments • Partner with external providers on network architecture, escalations, and ongoing optimization • Support SaaS platforms, identity/access systems, and cloud-managed infrastructure Endpoint Management • Administer MDM and endpoint management platforms (e.g. Kandji) • Partner closely with Security team on endpoint compliance, VPN/SASE solutions, device security, and access controls • Help implement and maintain IT security best practices and operational policies Cross-Functional & Vendor Collaboration • Manage relationships with external IT vendors and service providers • Work closely with IT and Security stakeholders at Element to coordinate shared infrastructure, policies, escalations, and support processes • Lead IT improvement initiatives and infrastructure projects • Drive operational maturity, scalability, and reliability across the IT environment Requirements • 5+ years of experience in IT operations, systems administration, or internal IT infrastructure roles • Strong experience supporting macOS environments • Hands-on experience with: • Networking and wireless infrastructure • VPN/SASE technologies • MDM platforms (Kandji, Jamf, etc.) • SaaS administration and identity management • Endpoint security and IT operations best practices • Experience managing external IT vendors and escalations • Strong troubleshooting and problem-solving skills across systems, networking, and end-user environments • Excellent communication and stakeholder management skills • Ability to operate independently and take full ownership in a fast-paced environment Nice to Have • Experience in high-growth startup environments • Familiarity with Fortinet, Google Workspace, or Harmony SASE • Experience supporting hybrid/global teams