Jobs in Tel Aviv-Yafo

Building a New Foundation for Cloud Security The best security control doesn't detect a bad action. It removes the ability to perform it in the first place. That's what Act does. We're an action-centric cloud security company focused on reducing cloud risk by removing excessive and unintended access across cloud environments. As AI is making attacks faster and less predictable, patching and detection can only go so far. So we make sure every identity in the cloud, human or machine, has only the access it actually needs, without turning security into an operational burden. We're early-stage, well-funded, and built by repeat security operators who previously created Medigate (acquired by Claroty). We're building a team of exceptional people who take ownership from idea to outcome, with the autonomy to make decisions and drive their work forward. We care deeply about the customer, move fast, and enjoy building together. If you want to build something that matters from the ground up and see your work go live within days, this is the place. The role We are looking for an experienced Senior Full Stack to join our team and own features end-to-end - from the UI down to the backend services and data that power our cloud security platform. What you’ll do • Design and build features end-to-end, from UI (React, TypeScript) to backend services and APIs • Build and maintain backend systems that process complex cloud infrastructure data • Design clean, efficient APIs that connect a fast, intuitive frontend to a scalable backend • Work closely with Product and Design to turn security insights into real, usable capabilities • Make pragmatic architecture decisions across the stack, balancing speed and long-term maintainability • Leverage AI tools as part of your daily workflow - we build with AI, not just for AI • Improve our codebase, tooling, and engineering practices as we grow What you’ll bring • At least 5 years of hands-on full stack development experience • Strong proficiency in React and TypeScript on the frontend, and Node.js (or similar) on the backend • Experience designing and consuming APIs, and working with relational or cloud-native databases • Experience with cloud platforms (AWS, Azure, or GCP) is a plus • Solid understanding of system design, data structures, and performance tradeoffs across the stack • Strong sense of UI/UX combined with solid backend engineering judgment • Strong sense of ownership, clear communication, and ability to move fast without cutting corners Our culture We live by three values: Win, Learn, Have Fun. We play to win - we set ambitious goals and hold ourselves to high standards. We learn constantly - from customers, from each other, and from our mistakes. And we have fun doing it: we believe great work happens when people enjoy working together.

Building a New Foundation for Cloud Security The best security control doesn't detect a bad action. It removes the ability to perform it in the first place. That's what Act does. We're an action-centric cloud security company focused on reducing cloud risk by removing excessive and unintended access across cloud environments. As AI is making attacks faster and less predictable, patching and detection can only go so far. So we make sure every identity in the cloud, human or machine, has only the access it actually needs, without turning security into an operational burden. We're early-stage, well-funded, and built by repeat security operators who previously created Medigate (acquired by Claroty). We're building a team of exceptional people who take ownership from idea to outcome, with the autonomy to make decisions and drive their work forward. We care deeply about the customer, move fast, and enjoy building together. If you want to build something that matters from the ground up and see your work go live within days, this is the place. The role You'll own a product lane end to end. At Act, PMs don’t hand off a backlog, they take an area from raw customer signal to GA and deliver the win. Our PMs own end-to-end use cases like external perimeter hardening across IAM and network dimensions, human access boundaries, application perimeter enforcement, and agentic application least-privilege enforcement. You’ll take on an end-to-end boundary use case and everything it touches. You’ll shape how Act turns raw cloud configuration data into deterministic, enforceable boundaries, working closely with R&D, design, and customers to ship a product that materially shrinks the attack surface, reduces lateral movement opportunities, and eliminates exfiltration routes - preventing modern agentic attacks before they can take hold. What you’ll do • Shape and own the product vision, strategy, and roadmap for your area, translating Act's mission of shrinking the cloud access surface into a clear, prioritized plan. • Manage the entire product capability lifecycle - from discovery and requirements through design, execution, and release. • Learn customer environments, threat models, and security workflows to ensure the product drives real operational success for cloud and security teams. • Gather and analyze requirements, and write clear, detailed PRDs and user stories. • Collaborate with cross-functional teams - R&D, UI/UX, security research, and GTM - to guarantee smooth, efficient implementation. • Deep dive into the technical layers of identity, network, and AI access to make sound product and prioritization calls. • Engage directly with customers and prospects to validate ideas, gather feedback, and inform strategy. What you’ll bring • 5+ years of experience as a Product Manager. At least 2 in cybersecurity, cloud, or application security (AppSec) - a must! • Solid understanding of cloud environments (AWS, Azure, or GCP) and security practices, tools, and frameworks. • Strong technical orientation, with the ability to engage deeply with engineering teams • Proven ability to own an entire product feature / capability / module end-to-end, with a comprehensive understanding of system flows and user interactions beyond a single feature or domain. • Excellent analytical, problem-solving, and decision-making skills. • Comfortable operating in a fast-moving, dynamic startup environment with a hands-on approach. • Background in network analysis, active directory, cloud IAM - an advantage. • Background in intelligence, cyber operations, or security research - an advantage. Our culture We live by three values: Win, Learn, Have Fun. We play to win - we set ambitious goals and hold ourselves to high standards. We learn constantly - from customers, from each other, and from our mistakes. And we have fun doing it: we believe great work happens when people enjoy working together.

We are looking for an experienced and highly capable Product Manager to join our product team and take a leading role across our Claims Management System (CMS) and Clive AI, our next-generation, agentic AI claims platform. This role sits at the heart of our mission: transforming claims handling with a modern, end-to-end claims platform and intelligent, AI-first automation. The ideal candidate brings a proven track record of driving successful B2B products, deep domain expertise in insurance — especially claims — and hands-on experience building or shipping AI-driven and agentic AI capabilities. Success in this role means moving fluently between core claims workflows in the CMS and the AI capabilities that increasingly power them. What You'll Do Lead key product areas that span both our CMS and Clive AI — owning specific parts of each product and playing a central role in redefining claims operations through robust core workflows and autonomous, AI-first agents. Work directly with customers, users, and internal/external stakeholders to understand, map, and prioritize needs across the full claims lifecycle. Own the product roadmap for your areas end-to-end — defining priorities, solutions, and success metrics while managing the full product lifecycle, from ideation to production and iteration, in close coordination with the R&D and PMs leading adjacent areas. Identify opportunities for expanding customer value, introducing new capabilities for deeper automation while continuing to strengthen the core claims platform. Partner closely with engineering, design, and delivery teams to ensure high-quality execution and seamless cross-functional alignment. Document and communicate product value and functionality clearly to prospects, customers, and internal stakeholders, becoming the subject-matter expert for your product area. Requirements What You Bring 5+ years of Product Management experience delivering successful, high-impact B2B software products. Proven domain expertise in insurance, ideally in insurtech and specifically claims management, with a track record of shipping products for the industry. Hands-on experience with AI-driven products, ideally involving LLMs, agentic workflows, or decision-support & automation. A proven record of owning full product lifecycle development and driving complex features from concept to live production. Experience collaborating with UX/UI designers on user journeys, product flows, and polished experiences. Excellent collaboration and leadership skills, with the ability to influence and drive execution across teams. Outstanding written and verbal communication skills in English (Hebrew a strong advantage, but optional depending on your preference). Fast learner — highly curious, autonomous, proactive, and capable of thriving in a fast-moving environment. Strong process management, organization, and attention to detail. Creative thinker with strong problem-solving skills and a bias toward delivering impact. You'll Excel If You Have Experience spanning both core platform and AI products, and comfort moving between them. Experience working in a growth-stage startup, especially one experiencing rapid scale. Exposure to regulated industries where trust, safety, and reliability matter. Why Join Five Sigma? You'll help shape the future of claims handling at a moment when AI is redefining the industry. As part of a small, high-performing product team, you will have meaningful ownership of impactful areas across both our established claims platform and our cutting-edge AI product, direct customer impact, and the opportunity to build industry-changing products from the inside out.

Five Sigma is a fast-growing start up reinventing the way insurance claims are being handled. We are insurance and tech veterans that believe that efficiency is the name of the game. We build the most advanced AI-based data-oriented claims platform in the industry, allowing insurance companies to provide their customers the trust and experience they deserve. Five Sigma has dozens of customers around the globe and leads the vertical insurance AI domain. About the Role: We are looking for a passionate and talented Senior Software Engineer with passion to deliver a huge impact on our users day to day. This is a unique opportunity to join our fast growing R&D team where every person has a key influence on the product. In this role, you will be responsible for the development, integration, and deployment of our AI insurance product, which leverages the newest LLMs technologies and automation. You will play a critical role in shaping our technical direction, fostering a collaborative and high-performance culture, and ensuring the successful delivery of products that will transform the insurance industry. Responsibilities: Design, develop, and maintain our scalable software applications. Shape our AI capabilities, leverage LLM technologies and ensure creating best practices around them. Lead the development of new features and enhancements while ensuring best coding practices. Architect and implement robust, secure, and maintainable software solutions. Collaborate with cross-functional teams, including product managers and designers to deliver high-quality software. Conduct code reviews to other team members and ensure adherence to coding standards. Evaluate and recommend new technologies, frameworks, and best practices. Work closely with our product team to translate business requirements into technical solutions. Support and maintain existing applications, resolving critical bugs and issues as needed. Lead and contribute to agile development processes, including sprint planning and retrospectives. Requirements At least 5 years of experience in Backend and/or Full-Stack development. Experience in at least one of our programming languages - python for BE and React, Javascript for FE. Deep knowledge in SaaS software architecture design. Strong technical knowledge and understanding of product building end to end. Experience with building Cloud architecture (Familiarity with GCP cloud platform is a plus) Deep knowledge in AI product architecture and development is a plus. Insurance or financial industry familiarity is a plus Being able to see the big picture, zoom out, prioritize, estimate well, mitigate risks and have a sharp eye for details. Understanding of real-life developer experience aspects. Passionate about constantly balancing between code quality, fast delivery and business value. Motivated, energetic and ambitious team player. Excellent communications skills.

Why Join Sensi.AI Sensi is redefining how care organizations support aging at home by using it's Care Intelligence platform to translate everyday signals into meaningful clinical and operational outcomes. Sensi's platform is deployed across 50 states in leading home-care providers, supporting tens of thousands of seniors aging safely at home. By transforming real-world activity in the home into actionable insights, Sensi enables care teams to detect changes in condition earlier, intervene proactively, and deliver higher-quality care at scale. This is a hybrid role based in Tel-Aviv, Israel. About the role As a Senior Data Scientist, you'll use LLMs to turn the outputs of our existing models into richer, more actionable insights. You'll own the work end to end, from defining the problem to evaluating models and shipping to production, and you'll shape how we measure LLM quality across the team. What you'll do Own the LLM lifecycle end to end, from problem framing and model selection through evaluation, deployment, and production monitoring Lead our LLM evaluation: design benchmarks (synthetic and real-world) that measure how commercial and open-source models perform on our actual use cases, and define what "good enough to ship" means Design and build LLM pipelines that turn the outputs of our audio and NLP models into richer, clinically meaningful insights, with a deep focus on prompt engineering and RAG Run experiments and measure their impact in real-world systems, iterating based on data Processing, cleaning, and preparing data from various sources, including unstructured data Partner with product, engineering, and our clinical team to turn real-world needs into AI solutions, and communicate results to technical and non-technical stakeholders Track the state of the art in NLP, LLMs, and agentic AI, and bring what works into our products Requirements 8+ years of hands-on experience in data science, ML engineering, or applied AI roles Hands-on experience building LLM-based solutions in production, including prompt engineering and RAG architectures Proven experience designing LLM evaluations: building benchmarks and eval suites, and using them to compare models and guide decisions Strong Python skills and experience building data pipelines for structured and unstructured data (text, and ideally audio-derived data) A data-driven mindset: you define success metrics up front and iterate based on results Self-directed, comfortable defining the problem as much as solving it Strong communication skills, with the ability to explain complex results to non-technical stakeholders Nice to Have Experience with time series data and forecasting Experience with cloud platforms (AWS preferred) Experience with fine-tuning LLMs Background in healthcare, clinical, or audio-related domains

Why Join Sensi.AI Sensi is redefining how care organizations support aging at home by using it's Care Intelligence platform to translate everyday signals into meaningful clinical and operational outcomes. Sensi's platform is deployed across 50 states in leading home-care providers, supporting tens of thousands of seniors aging safely at home. By transforming real-world activity in the home into actionable insights, Sensi enables care teams to detect changes in condition earlier, intervene proactively, and deliver higher-quality care at scale. This is a hybrid role based in Tel-Aviv, Israel About the role We're looking for a Senior Software Engineer, to design and build scalable, production-grade systems powering Sensi's AI-native platform. This is an AI-native engineering role - AI copilots and tools (such as Claude, Cursor, and Copilot) are a core part of how we design, prototype, and ship software. Engineers at Sensi use AI as a force multiplier to move quickly, iterate rapidly, and focus their time on architecture, system design, and complex problem solving. You'll work across multiple services, platform infrastructure, and AI-driven capabilities, owning features end-to-end and helping bring intelligent healthcare products from concept to production. Key Responsibilities AI-Native Development - Design and build scalable systems using AI copilots such as Claude, Cursor, and Copilot as a core part of the workflow. AI-Powered Features - Develop and integrate AI-driven capabilities and pipelines into production systems. End-to-End Ownership - Own features from architecture and development through deployment and monitoring. Cloud Infrastructure - Build and operate scalable cloud-native systems on AWS. Collaboration & Engineering Excellence - Work closely with Product, Data, and AI teams, contribute to architecture decisions, and help raise the technical bar across the team. Requirements 8+ years of professional software engineering experience. Strong backend development experience with Node.js, Python, or similar technologies. Proven experience building and operating scalable SaaS platforms. Experience using AI coding tools (Claude, Cursor, Copilot) to design, prototype, and ship features, leveraging AI-native workflows to accelerate development. Hands-on experience with microservices architecture, APIs, and AWS cloud infrastructure. Experience building or integrating AI/LLM-powered systems or AI-driven product features. Familiarity with modern development practices including CI/CD pipelines, containerized environments, and cloud-native deployment. Strong problem-solving skills, technical judgment, and clear communication. Sensi celebrates diversity and uphold equal opportunity in our hiring practices. Our approach fosters an inclusive environment that sparks innovation and reflects the vibrant communities we serve. All persons shall have the opportunity to be considered for employment without regard to any characteristic protected by applicable federal, state, or local laws and ordinances.

Youll lead the platform group that every Sensi engineer builds on: a company-wide function that serves all our product squads, reporting directly to the VP R&D. Four domains, one team, and real room to shape how we build. Cloud, DevOps & Infrastructure Own our AWS and Kubernetes foundation: reliability, security, scalability and cost efficiency. Make Infrastructure as Code, automation and CI/CD the standard way we ship. Developer Platform Build the paved roads for our squads: self-service tooling, service packages, migrations, databases and CI/CD that help teams ship faster and safer. Take an active part in architecture decisions across all our product lines. Data Engineering Build our data engineering function from the ground up: reliable, scalable pipelines that handle large volumes of data from many sources. Hire and lead our first data engineers, and set the standards for quality and reliability. Agentic Platform & AI Enablement Build the infrastructure that lets our teams develop, deploy and run AI agents, a core part of our products. Bring AI into how we work: internal agents, Claude and tooling that make our engineers faster, while keeping a close eye on cost. Leadership Lead and grow the platform team: hire, mentor and develop engineers. Bring order to growth: define processes, find the weak spots and fix them, and prioritize across four domains. Partner closely with the product squads, data science and R&D leadership. Stay hands-on: dive into the code and architecture when it matters. Requirements 5+ years of experience leading engineering teams, including platform or infrastructure teams in a scaling technology company. Proven hands-on engineering track record in DevOps, infrastructure, platform or backend. Strong technical foundation in cloud architecture and infrastructure: AWS, Kubernetes, Infrastructure as Code and CI/CD. Experience balancing reliability, scalability, delivery speed and cost. Ability to lead across multiple technical disciplines, including areas where specialists have deeper expertise. Experience building teams, defining technical strategy and delivering cross-functional initiatives. A solid understanding of data pipelines and working with large-scale data. A hands-on state of mind: you're not afraid to dive into the code, learn new domains fast, and change what isn't working. Strong execution and prioritization: you take ownership, build processes, bring order to growth and drive stakeholders toward results. Nice to have Hands-on exposure to AI agents, LLM infrastructure, evals or AI cost optimization. Experience building an internal developer platform or leading a developer experience function. Experience building or leading data engineering, ideally from scratch. Familiarity with our stack: Node.js, Python, microservices, Kafka, Postgres.

About Us OurRitual is a fast-growing digital platform revolutionizing relationship guidance. We provide expert-led sessions, personalized pathways, and engaging content to help individuals and couples work through relationship challenges. We are now scaling and looking for the right people to join our (great!) team to continue delivering exceptional experiences to our users. Role Overview We are looking for a Generative AI Engineer to lead our AI efforts end-to-end — from infrastructure and production systems to internal adoption and cross-team enablement. You will play a significant role in building the world's first Consumer Therapy AI Product (someone said RAG? But we mean a real one that works in production...). This is a critical role in a high-growth, fast-paced B2C startup, requiring a leader who can advocate for Engineering requirements, tech-debt and best practices while promoting a product-mindset and putting our customers front and center. About You • You are a great human being and you’re all into teamwork. you care about how people will feel inside the organization and set high standard for culture, professionalism and maturity. • A Doer, hands-on, biased for action and not taking an advisory role. Know how to translate challenges into actions. Able to work both individually and manage multiple priorities while driving others around you for action. • You're a fast learner, jack of all trades, feel comfortable in a fast paced, ever-changing environment. You can break down complex problems into steps and plot clearly how to get from A to Z while having the ability to zoom out and see the bigger picture. • You are an experienced hands on engineer, with proven experience with Developing LLM based products, with a real passion to AI and LLM, eager to learn about very new model and technology in this domain, and have a real understanding of the AI ecosystem. Key Responsibilities AI Infrastructure & Production • Own and design GenAI architecture (LLMs, pipelines, agents) • Build and ship AI features into production • Integrate enterprise models (OpenAI, Anthropic, Google) • Optimize cost, latency, and reliability (tokens, caching, evals) • Handle real-world constraints (context window, hallucinations) Prompt Engineering & Product Collaboration • Lead prompt design and experimentation across teams • Work with product, copy, and operations on AI-driven features • Build and evaluate prompt pipelines (quality, consistency) Research & Innovation • Stay up to date with GenAI ecosystem (models, tools, frameworks) • Evaluate and implement frameworks (LangGraph, LangChain, etc.) • Prototype quickly and iterate in a startup environment Required Skills & Qualifications • ~1+ year experience with Generative AI / LLMs • 5+ years experience with Backend engineering • Experience shipping GenAI features to production • Strong hands on, production grade backend/software engineering skills (Python preferred) • Experience with major AI providers (OpenAI, Anthropic, Google) • Prompt engineering and LLM behavior knowledge • Understanding Agents / multi-step workflows • Experience with AI frameworks (LangChain, LangGraph, etc.) • Familiarity with embeddings / vector databases • Excellent problem-solving skills with demonstrated success in fast-paced environments. Bonus • MLOps / model deployment experience • Evaluation, monitoring, and guardrails • Fine-tuning or model customization • RAG systems (Retrieval-Augmented Generation) • Building retrieval pipelines and grounding LLM outputs

About Us OurRitual is a fast-growing digital platform reshaping how relationship therapy works. We combine expert-led therapy sessions with AI-powered support to create a blended experience — where clinical depth and intelligent technology weave together into something neither could deliver alone. A therapist brings depth. AI brings continuity. Together, they reshape what relationship support feels like in the 167 hours between sessions. We call it Continuous Therapy. We've reached product-market fit with strong growth, exceptional engagement, and retention that breaks the category. We have 200+ expert therapists on the platform and the largest dataset of clinically-annotated couples therapy sessions in existence. We're pre-Series A, at the stage where AI moves from feature to foundation. Role Overview As a Head of Product — AI Therapy, you will own how AI and clinical expertise come together across the product to create a new kind of therapy experience. This role sits at the intersection of consumer product, AI technology, and clinical science — defining what intelligent relationship support looks like when it's grounded in real therapeutic data and validated by real clinicians. You'll design the conversational AI that supports users between sessions — emotional processing, conversation preparation, reflections, personalized guidance. You'll build the intelligence layer that turns therapy session data into structured relationship context, so every interaction feels informed by the couple's actual journey. And you'll push into open space — new product surfaces, new modes of support, new ways to make therapists more effective — because the category is being created now and the playbook doesn't exist. This is a hands-on role that requires balancing vision with execution, working closely with our clinical lead, AI engineers, and design team to ship products where every word matters — because people are vulnerable when they use them. In regular collaboration with founders and clinical leadership, you'll shape the AI therapy strategy and help define the future of continuous, tech-enabled relationship support. Key Responsibilities AI Product Definition • Own the AI therapy product surface — conversational flows, tone, behavioral rules, guardrails, and prompt engineering for between-session support • Define how AI shows up across modes: emotional processing, conversation preparation, reflections, personalized guidance • Drive the user-facing AI experience from spec to ship — ensuring it feels warm, safe, and clinically grounded Intelligence Infrastructure • Define how therapy session data becomes structured relationship context — extraction logic, confidence scoring, lifecycle management, recommendation systems • Build the intelligence layer that makes AI interactions feel informed by the couple's history and therapeutic journey • Shape content recommendation and insight delivery systems Clinical-Product Integration • Partner with clinical lead and therapist network to validate every AI behavior before it reaches users • Translate therapeutic frameworks into product specs that engineers can build from • Design expert-in-the-loop workflows and crisis safety protocols • Ensure what ships is therapeutically sound, not just technically impressive New Product Surfaces • Identify and develop new AI-powered experiences — adaptive insights, tools for therapists, modes of support that don't exist yet • Run POCs with real users, define acceptance criteria, measure outcomes, iterate • Collaborate with consumer product initiatives to ensure AI and human experiences are seamlessly aligned Skills & Qualifications • 5+ years of product management in consumer products, with real AI/ML experience • Hands-on LLM product work — prompt engineering, model behavior, shipping AI that needs to be safe and reliable • Genuine interest in therapy, mental health, or emotional wellbeing — you understand why clinical grounding matters and why this space demands more care than most • Strong spec-writing — translating complex behavioral and clinical requirements into clear, buildable definitions • Cross-functional fluency — comfortable going deep with engineers on architecture, with clinicians on therapeutic frameworks, with designers on experience • Builder mentality — energized by defining problems, not just executing against a predetermined roadmap • Fluent English Nice-to-Have Skills • Health-tech, therapy-tech, or regulated consumer product experience • Conversational AI background — designing conversation flows, managing AI tone and personality • Personal experience with therapy (individual or couples) — it gives intuition that's hard to teach • 0-to-1 product track record at early-stage companies • Experience with clinical validation workflows or expert-in-the-loop AI systems Why This Role Therapy is about to look very different — not because AI replaces therapists, but because people expect more than a weekly hour can deliver. This is a rare opportunity to define how AI and clinical expertise blend together to support relationships at scale. You'll work with a dataset that doesn't exist anywhere else, building products that couldn't be built at any other company. If you care about building AI that genuinely helps people in their most vulnerable moments, this is it.

Data-AI Lead About Us OurRitual is a fast-growing digital platform reshaping how relationship therapy works. We combine expert-led therapy sessions with AI-powered support to create a blended experience — where clinical depth and intelligent technology weave together into something neither could deliver alone. We call it Continuous Therapy. We've reached product-market fit with strong growth, exceptional engagement, and retention that breaks the category. We're pre-Series A, at the stage where AI moves from feature to foundation — and that shift runs straight through data. Role Overview As Data Lead, you will own how data gets turned into decisions across the company — and lead the shift from traditional BI into AI-driven BI, powered by agents that surface insight in real time. You'll work closely with one data engineer today, with room to grow the team as scope expands. You'll define what the data function looks like when AI is embedded in it, not bolted on — from the underlying infrastructure to the dashboards and agents people actually use. The playbook for AI-native BI is still being written, and you'll write a lot of it. Key Responsibilities Data Strategy & Ownership • Own the vision and roadmap for the data function, including the shift from classic BI to agent-based, AI-driven BI • Set priorities in partnership with senior leadership • Work closely with a data engineer today, with the option to grow the team as the function scales AI-Driven BI & Agents • Drive adoption of AI across data workflows — from automating analyses to agents answering business questions in real time • Own the semantic and metrics layer so every dashboard and every agent reads the same definitions • Build in a git-based workflow: dashboards and queries live in git, edited through PRs, built with agents • Expose our data to agents over MCP so business questions get answered without waiting for a dashboard • Define where AI speeds things up — and where human judgment still has to hold the line Infrastructure & Analytics • Own the data infrastructure: BigQuery, dbt, pipelines, and data reliability • Lead complex analytics work, A/B testing, and impact measurement, hands-on • Define evals and quality metrics for AI features and agents — not just A/B tests on dashboards Cross-functional Collaboration • Partner with product, marketing, finance, operations, and engineering to define analytical needs and turn them into solutions • Represent the data function to the organization — senior-level storytelling with data Skills & Qualifications • 7+ years of experience in data roles, spanning both analytics and infrastructure • Strong analytical foundation — you understand what makes analysis rigorous, not just what makes it automatable, and can use that to build an AI-driven analytics system that's actually trustworthy • Hands-on experience integrating AI into data workflows — building it, not just using it; you've shipped an agent or AI analysis flow that people actually use • Strong SQL skills and experience building scalable data infrastructure • Track record owning data projects independently with stakeholders across the business • Solid grounding in experimentation and statistical methods • Excellent communication and presentation skills at a leadership level • Comfortable being the most senior (and often only) data voice in the room Nice-to-Have Skills • Experience with dbt • Experience with Amplitude • Experience with BigQuery • Experience with git-based BI workflows or tools like Modus • B2C environment experience Why This Role Data teams are about to look very different — not because dashboards disappear, but because people expect answers faster than a weekly report can deliver. This is a rare opportunity to define what AI-native data leadership looks like at a company sitting on a dataset that doesn't exist anywhere else, with real ownership over how the function grows. If you want to build the data function that a category-defining product deserves, this is it.

We are a new startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: "Half the budget I spend on Advertising is wasted. The problem is – I don't know which half" (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – "which half is wasted?" INCRMNTAL launched in summer of 2020, backed by strategic investors from around the world who believe in what we're doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. About the role: We are looking for a Senior Marketing Science (Business Analyst) to join our team and drive impactful analysis for our customers. This individual will play a critical role in addressing complex business questions, delivering actionable insights, and guiding our clients in optimizing their marketing strategies. If you are passionate about measurement and analytics, self-reliant, and motivated to make a meaningful impact, we want to hear from you! Role Description: As a Senior Marketing Science Manager your role will be: Collaborate with clients to uncover insights about their marketing incrementality performance and paid-channel efficiency. Deliver benchmarking analyses to provide clients with context on how they perform relative to industry standards and peers. Design and execute analyses to answer challenging business questions, including those that are ambiguous or unstructured. Proactively identify opportunities to help clients optimize their performance using INCRMNTAL's measurement solutions. Leverage statistical methods and advanced analytics to uncover trends and provide actionable recommendations. Work directly with large datasets using SQL to extract, analyze, and interpret data. Collaborate with Product and Engineering teams to enhance the analytics capabilities of the platform, ensuring customer needs are met. Create and maintain visually compelling reports and dashboards to communicate findings effectively. Partner closely with Product, Customer Success, and Sales teams to understand customer challenges and drive the adoption of data-driven solutions. Provide feedback to the Product team to improve features and usability based on customer insights and hands-on experience. Act as a subject matter expert on marketing measurement and incrementality, sharing insights with customers and internal teams. Stay ahead of industry trends, emerging measurement methodologies, and market developments. You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we're not interested in doing. Key Requirements: 4+ years in marketing science and/or marketing analytics roles, preferably within the adtech / marketing tech ecosystem or a measurement-focused company. Strong proficiency in SQL and experience with cloud-based analytics platforms (e.g., Amazon Athena, Google BigQuery). Familiarity with statistical tools (e.g., R, Python) and data visualization platforms (e.g., Tableau, Looker). Self-motivated and independent, with a proven ability to manage multiple projects and deliver high-quality results. Exceptional communication and storytelling skills, capable of presenting complex data insights to both technical and non-technical audiences. Bonus Point: Understanding of incrementality measurement and marketing efficiency methodologies. Note: The requirements and description above represents the skills and expectations from the person in this role. Having said that - if you are interested in the position and believe you only tick some of the key requirements - please do apply. Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. You will be granted share options as an early employee. We are passionate, solution-oriented people who are accountable to our actions. We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.

INCRMNTAL is searching for the best Data Scientist out there! We are a new startup founded by successful serial entrepreneurs with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: "Half the budget I spend on Advertising is wasted. The problem is – I don't know which half" (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – "which half is wasted?" We are a new startup, launched in summer of 2020, backed by strategic investors from around the world who believe in what we're doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. Role Description: As a Staff Data Scientist your role will be to: Use analytical, statistical and technical skills to understand large, complex datasets with the aim to eliminate waste and measure incrementality for advertisers. Lead, Develop & improve algorithms for automated decision making around lifetime value, causality, multi-touch attribution, and media mix optimization Determine, analyze, maintain, and report on core marketing metrics to identify causal relationships between marketing actions and outcomes. Translate data into actions and recommendations – appropriately interpreting and building on findings, and fully exploiting insights You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we're not interested in doing. Key Requirements: Min. 8 years of work experience in a commercial data science environment that requires the combined application of statistical & engineering skills Strong statistical and research skills with a track record of using a variety of math and statistical methods (especially Causal Inference, Prediction models, Bayesian Method) Excellent development skills (Python required, R or Scala a plus) Experience in working on big data with distributed computing (Spark, Airflow, Kubernetes) Familiarity with digital marketing, advertising or analytics is a plus Extensive experience in the Time Series domain, working with small and large time series frames Theoretical background knowledge like from a relevant BSc, MSc or PHD is a big advantage (e.g. in Mathematics, Computer Science, Statistics, Physics) Please note: The requirements and description above represents the skills and expectations from the person in this role. Having said that - if you are really interested in the position and believe you only tick some of the key requirements - do apply. Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. Excellent and committed employees will be granted share options. We are passionate, solution-oriented people who are accountable to our actions. We place our customers first and aspire to build a valuable solution to measuring value. At INCRMNTAL, you should be ready to make decisions yourself. We say: "Don't ask for permission – beg for forgiveness". We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply. Send your CV and motivation letter (optional) to [email protected]

INCRMNTAL is searching for the best Senior Product Manager out there! We are a 5 years old startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: "Half the budget I spend on Advertising is wasted. The problem is – I don't know which half" (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – "which half is wasted?" Incrmntal launched in summer of 2020, backed by strategic investors from around the world who believe in what we're doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. Role Description: As a Senior Product Manager at INCRMNTAL, you will sit at the intersection of data science, engineering, and product, translating complex ML and causal inference capabilities into a product our customers love. You will work hand-in-hand with our data science and the engineering teams to shape how models are designed, evaluated, and delivered into production. Own a significant part of the product roadmap for our value measurement platform, with a focus on data science driven features (causal inference, incrementality modeling, attribution, and media mix optimization) and customer onboarding. Partner closely with data scientists from problem framing through experimentation, model validation, and productization, you'll be expected to critically read model specs, challenge assumptions, and help prioritize research directions based on customer impact Define success metrics and evaluation frameworks for ML models alongside the DS team, balancing statistical rigor with business usability Own the UX of data-heavy features: collaborate with designers and data scientists to turn complex model outputs into intuitive user flows, clear visualizations, and dashboards that customers can actually act on Design and prioritize dashboards, reports, and in-product analytics, defining what metrics to surface, how to visualize uncertainty and causal results, and how to make insights discoverable without overwhelming the user Run user research and customer interviews to validate both the analytical value and the usability of features, and onboarding integration; translate findings into concrete design and product improvements Translate customer problems into well-scoped technical and design requirements; translate model outputs and methodology into clear value propositions for customers Prepare the implementation of features and support engineering, design, and DS teams through design reviews, QA, and launch, including writing acceptance criteria that account for model behavior, edge cases, data quality, and UX states (empty, loading, partial data, error) Ensure data integrity through testing, acceptance tests, and ongoing monitoring across our diverse range of data products Work with clients and internal stakeholders to understand business goals, identify relevant KPIs, and feed those insights back into the product, modeling, and dashboarding roadmap Oversee end-to-end data flow and engineering processes, collaborating with ML, data, and engineering teams to ensure efficient and accurate operation during critical phases like client onboarding and daily production runs Strategically plan for missing or imperfect data, designing product behavior and UX for new client onboarding, process failures, client-specific configurations, long-term seasonality, and external signals/features Drive experimentation: help design A/B tests, back-tests, and validation studies to assess the impact of new models, features, and UX changes Key Requirements: Min. 4 years of work experience in a product management role, experience in SaaS, B2B and/or data-heavy / ML-driven products is strongly preferred Proven track record of shipping products that involve machine learning, statistical modeling, or data pipelines, comfortable being the PM counterpart to a data science team Technical fluency: able to read and discuss ML/statistical concepts (regression, causal inference, Bayesian methods, time series) with data scientists, and able to reason about trade-offs in model design Hands-on comfort with SQL and the ability to independently query, explore, and validate data; familiarity with Python (notebooks, basic scripting) is a strong plus Understanding of data infrastructure concepts, ETL/ELT pipelines, data quality, distributed processing (Spark, Kubernetes, Argo, or similar), enough to collaborate meaningfully with engineering Strong UX sensibility for data products, experience partnering with designers to turn complex data and model outputs into clear, usable interfaces; comfort working in Figma (reviewing, commenting, and prototyping); a strong eye for data visualization and how to communicate uncertainty, causal results, and KPIs to non-technical users Experience shaping dashboards and in-product analytics, defining what to surface, how to structure it, and how users will interpret and act on it Hands-on experience with product integrations and data connectors, understanding how customers bring their data in (APIs, SDKs, MMPs, ad platforms, server-to-server integrations, data warehouses), and how to design onboarding flows that handle authentication, data mapping, validation, and error states Familiarity with third-party integrations in the ad-tech ecosystem (e.g., Google Ads, Meta, TikTok, AppsFlyer, Adjust, Snowflake, BigQuery) is a big plus Knowledge of agile development practices (Scrum, Kanban) Strong analytical skills, conceptual thinking, and a structured work approach Excellent written and verbal communication, able to translate between DS, engineering, design, and commercial stakeholders Familiarity with advertising, digital marketing, analytics, attribution, or tracking is a big plus BSc or higher in a quantitative field (Computer Science, Statistics, Mathematics, Engineering, Physics, or similar) is a plus Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. You will be granted share options as an early employee. We are passionate, solution-oriented people who are accountable to our actions. We care and respect one another, as we are ALL people, our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.

We are a startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: “Half the budget I spend on Advertising is wasted. The problem is – I don’t know which half” (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – “which half is wasted?” INCRMNTAL launched in summer of 2020, and developed our innovative product while working with some of THE-MOST sophisticated advertisers. We work with globally known companies as our customers and get a constant flow of interest from the press, customers, and partners. About the role: INCRMNTAL sells a sophisticated analytics platform that combines marketing science, causal inference, and machine learning. Prospects often ask complex questions about measurement methodology, modeling assumptions, validation processes, and how results should be interpreted. The Sales Engineer will play a critical role in the sales process by translating the technical depth of the platform into clear, compelling explanations for marketing leaders, analysts, and data teams. You will partner closely with the sales team during the sales cycle, support product demonstrations, answer technical questions from prospects, and help build trust in the methodology behind the platform. This role sits at the intersection of sales, product, and data science. As a Sales Engineer your role will be: Join sales calls and product demonstrations to explain the platform’s methodology and analytical approach to help overcome technical objections Answer technical and methodological questions from prospects during the sales process. Help prospects understand how INCRMNTAL differs from traditional attribution, MMM, or experimentation approaches. Support the sales team in moving deals forward by building trust in the platform’s measurement framework. Deliver clear and engaging product demonstrations tailored to different audiences (CMOs, growth teams, data scientists, analysts). Translate complex modeling concepts into intuitive explanations that marketers can understand. Customize demo narratives based on the prospect’s marketing stack and challenges. Support proof-of-concept discussions and pilot programs Explain the underlying modeling logic and how the system measures incrementality. Walk prospects through validation methods, case studies, and experimental comparisons used by customers. Help prospects interpret platform outputs and understand how to operationalize insights. Work closely with product and data science teams to stay current on platform capabilities. You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we’re not interested in doing. Key Requirements: 4+ years in a Sales Engineer, Solutions Consultant, Data Consultant, or Marketing Analytics role. Experience working with marketing data, attribution models, MMM, or growth analytics. (Adtech, Marketing Tech) Experience presenting technical concepts to non-technical audiences. Strong analytical thinking and ability to understand statistical models. Excellent communication and storytelling skills. Ability to translate complex ideas into simple explanations. Comfortable presenting to senior marketing leaders. Familiarity with marketing measurement methodologies such as: Incrementality testing Marketing Mix Modeling Attribution models Please Note: The requirements and description above represent the skills and expectations from the person in this role. Having said that - if you are interested in the position and believe you only tick some of the key requirements - please do apply. Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. We are passionate, solution-oriented people who are accountable to our actions. We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.

INCRMNTAL is searching for the best Senior Software Engineer out there! We are a 4 years old startup founded by successful serial entrepreneurs and a strong team with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE. Advertising for the past 100+ years has faced a strange dilemma: "Half the budget I spend on Advertising is wasted. The problem is – I don't know which half" (John Wanamaker, 1838-1922) We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – "which half is wasted?" INCRMNTAL launched in summer of 2020, backed by strategic investors from around the world who believe in what we're doing. We have customers and a constant flow of interest from the press, investors and more large companies who want to join us. INCRMNTAL's innovative model, which has sparked interest within the academic community, has been acknowledged by the Israel Innovation Authority with a grant—a rare achievement in the marketing field. Role Description: As a Senior Software Engineer your role will be to: Play a key role in the design and architecture of cutting-edge, innovative data systems. Develop and maintain a multi-tenant environment for our advanced measurement solutions. Build and manage cloud-based, distributed computing environments to support scalable, high-performance operations. Design and implement robust ETL workflows, integrating multiple data sources for cleaning, transformation, aggregation, and querying. Troubleshoot and resolve complex issues related to data integration, storage, and retrieval. Architect and build big data solutions capable of managing and automating the processing of tens of terabytes. Optimize database performance and streamline query execution in large-scale environments. Collaborate closely with Data Scientists to align technical solutions with data-driven objectives. You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we're not interested in doing. Key Requirements: 10+ years of professional experience in backend software development (Python preferred) with a strong focus on data-related projects. Proven experience working in microservices environments and cloud platforms. Expertise in distributed applications and systems. Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. (Pandas, NumPy, Dask, Argo). Deep understanding of relational databases, data warehouses, advanced knowledge of SQL for crafting efficient queries. Hands-on experience in bringing applications to production and maintaining production environments. Strong problem-solving skills, with a passion for troubleshooting and optimizing complex systems. Familiarity with containerization technologies like Docker and Kubernetes. Strong communication and collaboration skills, with a track record of working effectively in cross-functional teams. Comfort with experimenting and adopting new technologies to stay ahead of the curve. Familiarity with DevOps practices and tools to support the full development lifecycle. Ability to multitask, prioritize, and manage time effectively in a fast-paced environment. Some of the technologies we use: Python, Argo, Kubernetes, Spark, etc… Benefits of Joining INCRMNTAL: We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success. You will be granted share options as an early employee. We are passionate, solution-oriented people who are accountable to our actions. At INCRMNTAL, you should be ready to make decisions yourself. We say: "Don't ask for permission –beg for forgiveness ☺". We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us. We are accepting applications regardless of any external factors. Everyone is welcome to apply.

About Stigg Every AI company is accidentally building a bank. Every prompt, agent run and API call spends real money, and something has to decide, in real time, who is allowed to do what and how much it costs. Stigg is the usage runtime for AI products. We sit in the request path and give engineering teams real-time entitlement enforcement, AI credits, usage metering and spend governance, so they can launch any pricing model without building a ledger into their codebase. AI Credits, Under Control. Teams at Miro, Webflow, PagerDuty, Upwork, Qlik and AI21 Labs run on Stigg. In June 2026 we launched Stigg 2.0 at the AI Engineer World's Fair, and AI startups started showing up on their own. The role Stigg powers mission-critical infrastructure for some of the world’s largest software companies. Reliability and trust aren’t just nice-to-haves for us, they’re at the core of everything we do. Today, Stigg manages over 100 million customers and subscriptions, and since launching Stigg 2.0, we’ve roughly doubled self-serve signups from AI startups, adding to a growing base of enterprise customers already running on Stigg. We’re looking for a Head of Engineering to build a world-class engineering organization: one that moves fast, delivers consistently, operates with excellence, and takes pride in the quality of its work. You’ll lead our engineering team leads, own how we plan, build, and ship, and report directly to the CTO. We’re building Stigg for the AI era, and we believe the way engineering teams operate needs to fundamentally change. Our vision is an engineering organization where AI agents handle most of the execution, freeing engineers to focus on the hardest problems, critical decisions, and creative work that moves the business forward. You’ll have the ownership and freedom to turn that vision into reality at Stigg. What you'll own • The engineering org: Develop our team leads into great managers and build strong teams around them. Raise the bar on who we hire, grow engineers into leaders and push decisions down so teams move without waiting on you. Build the org you would want to join. • Delivery: Turn company goals into one engineering plan and own it end to end. Make the call when teams compete for the same people. The whole company should know what engineering is shipping and when, without having to ask. • Focus: Make sure every team knows why it is building what it is building, decide how much time goes to paying down technical debt, and keep engineering on the goals that matter instead of whatever came up this week. • How we work: Find the friction in how engineering works and remove it. Set one way of working across all teams, from planning to production, that people actually follow. • AI-powered engineering: Hand most of the execution work to AI, from boilerplate and tests to migrations and first-pass code reviews. If something manual happens twice, it should be automated. • Reliability and cost: Our customers run their pricing, credits and usage limits on Stigg. Own on-call, incident response and the 99.99% uptime bar, and keep cloud spend in check as usage grows. • Technical direction: Bring your judgment to the big technical calls, shape the product roadmap with the founders and lead strategic projects yourself. Who you are • A leader of leaders. You have grown engineers into team leads and team leads into strong managers, and the teams you built kept performing after you left. • Done it before. You have run multiple engineering teams at high-growth companies, and you can tell us what each org looked like when you started and when you left. • Deep technical background. You spent years building and running large-scale distributed systems before moving into leadership, and engineers trust your technical judgment. • Light on process. You fix what gets in a team's way with the smallest process that works, and you remove process that no longer earns its place. • AI-native. You use AI agents every day and have opinions, backed by results, on how a whole team should work with them. • High agency, low ego. You jump in when something is on fire and step back once it is not. You like working directly with founders, with no committee in between. Requirements • 10+ years in software engineering, including 5+ years managing multiple engineering teams through their leads (e.g. as head, group manager or director of engineering), ideally at more than one high-growth company • Experience running delivery across several teams that depend on each other, on an API-first product • Experience owning production systems with strict uptime and latency requirements, including monitoring, on-call and incident response • Measurable improvements in how an engineering org delivers, ideally with numbers you can walk us through • Experience hiring engineers and growing engineers into team leads Bonus points • You have led engineering for billing, payments, financials or another system where every number has to be right • You have rolled out AI agents for internal use cases across a team and can show what it changed • You have owned a cloud budget and brought spend down as usage grew • You have scaled an engineering team from around 10 to 30+ engineers, adding teams while keeping one way of working Why you'll love working at Stigg Joining now means building the engineering org behind the usage runtime for AI products, at the exact moment every AI company is figuring out how to meter, price and control usage. You get a strong team, a clear mandate and a direct line to the founders. If you are excited about building a world-class engineering org, and about what engineering looks like when agents do most of the execution, we would love to meet you. Perks, office and location • Stock options, competitive salary, latest MacBook Pro, dog-friendly office and great team vibes. • We work from our Tel Aviv office 4 days a week.

Stigg The Usage Runtime for AI Products But what is it exactly? Built by former New Relic engineers, Stigg provides the infrastructure AI companies need to meter, monetize, and govern product usage at scale. Our real-time usage runtime enables companies to manage entitlements, usage metering, credits, budgets, and access controls - all without building complex infrastructure from scratch. So what? Why now? AI is fundamentally changing how software is consumed and monetized. Every API request, inference, or agent action can generate real cost, while traditional billing systems only report usage after it happens. Stigg helps AI companies make real-time decisions about what each customer, user, team, or agent is allowed to do - before the cost is incurred. This gives engineering teams the control they need, while allowing Product and GTM teams to quickly introduce and evolve new monetization models. Are you funded? 💰 We are! Stigg is backed by Red Dot Capital Partners, Unusual Ventures, and Emerge. Our platform is trusted by leading companies such as Miro, Webflow, PagerDuty, Upwork, Productboard, Qlik, and HackerOne. Team → Product → Traction - where you at? 🐜 A lean global team of around 40 people 🏠 Headquartered in Tel Aviv, with team members across Israel, the US, and Europe 🚀 Launched Stigg 2.0 - the Usage Runtime for AI Products ⚡ Built to process over 1M usage events per second and make real-time decisions in milliseconds We're looking for an Senior Product Manager We're looking for an exceptional Product Manager to join our highly talented team and take our product to the next level. As a Product Manager, you'll play a key role in defining the product strategy that shapes our unique offering to customers, like Miro, Webflow, PagerDuty, Upwork, Productboard, Qlik, and HackerOne. Your expertise will help create solutions that seamlessly integrate complex functionalities while ensuring an exceptional user experience. You'll collaborate closely with engineering, design, CS, marketing, and sales teams to identify customer needs, define and prioritize product requirements, and deliver innovative features that make it easier for engineers to monetize their applications. What will be your primary goals 🎯 • Help lead the product's strategy and vision, and ensure it aligns with the company's objectives • Collect and analyze customer feedback to shape our product requirements and capabilities • Research the market and competitive landscape to identify opportunities • Drive the product roadmap and prioritize features based on value, effort, and feedback • Collaborate with cross-functional teams to execute product launches and promotional campaigns effectively • Monitor and analyze product performance metrics to evaluate success and identify areas for enhancement • Act as the voice of the customer to ensure that our products meet customer expectations and deliver significant value • Foster strong relationships with stakeholders across the organization to maintain alignment on priorities and vision What we think can help you achieve your goals 🏆 • Experience of 5+ years of product management experience in a B2B SaaS environment, working on complex software solutions • Proven track record of successfully launching products with a significant impact on customers • Technical background including familiarity with technologies like APIs and cloud platforms • Analytical and strategic thinker with strong attention to detail and end-to-end ownership • Strong product sense and passion for building great user experiences • Proven ability to work effectively with cross-functional teams, including engineering, design, marketing, and sales, to bring products to market successfully • Excellent written and verbal communication skills; ability to convey ideas and align teams around product vision and goals • A proactive, highly motivated, can-do attitude Bonus Points ➕ • Past experience in building developer tools, SDKs and or software infrastructure • Past experience as software developer or engineer Now to the important details Perks 🎁 Stock options, a competitive salary, a new MacBook Pro, plenty of SWAG, and a fun, dog-friendly office. Office<>Remote 🏠 We work 4 days together, 1 day from home. Location 📍 Our office is located in Tel Aviv, between Rothschild Boulevard and Neve Tzedek. We also help our team with commuting and parking.

Stigg The Usage Runtime for AI Products But what is it exactly? Built by former New Relic engineers, Stigg provides the infrastructure AI companies need to meter, monetize, and govern product usage at scale. Our real-time usage runtime enables companies to manage entitlements, usage metering, credits, budgets, and access controls - all without building complex infrastructure from scratch. So what? Why now? AI is fundamentally changing how software is consumed and monetized. Every API request, inference, or agent action can generate real cost, while traditional billing systems only report usage after it happens. Stigg helps AI companies make real-time decisions about what each customer, user, team, or agent is allowed to do - before the cost is incurred. This gives engineering teams the control they need, while allowing Product and GTM teams to quickly introduce and evolve new monetization models. Are you funded? 💰 We are! Stigg is backed by Red Dot Capital Partners, Unusual Ventures, and Emerge. Our platform is trusted by leading companies such as Miro, Webflow, PagerDuty, Upwork, Productboard, Qlik, and HackerOne. Team → Product → Traction - where you at? 🐜 A lean global team of around 40 people 🏠 Headquartered in Tel Aviv, with team members across Israel, the US, and Europe 🚀 Launched Stigg 2.0 - the Usage Runtime for AI Products ⚡ Built to process over 1M usage events per second and make real-time decisions in milliseconds We're looking for an exceptional Full Stack Engineer! We’re looking for a Full Stack Engineer to join our talented R&D team and help build the infrastructure powering the next generation of AI products. Stigg sits directly in the request path of our customers’ applications, making real-time decisions about entitlements, credits, usage, and access. This makes performance, scalability, and reliability critical to everything we build. You’ll work across our APIs, SDKs, CLI tools, and applications, building developer-first infrastructure that enables companies to meter, monetize, and govern AI usage at scale. What will be your primary goals 🎯 • Lead feature development end-to-end - from understanding real business problems to delivering scalable, developer-first solutions for our customers • Build high scale, reliable, and fault-tolerant features from day one • Develop APIs, SDKs, and tools that integrate seamlessly into our customers’ applications - Best DevEx • Take an active part in architectural and technical decisions What we think can help you achieve your goals 🏆 • 3-5 years of full-stack software development experience, with a strong backend orientation • Hands-on experience with Node.js, TypeScript and React • Proven experience building APIs, microservices, and distributed systems • Strong understanding of messaging systems such as SQS and Kafka • Experience with Docker, server-less applications and cloud infrastructure - preferably AWS • Great orientation with AI building tools and agentic development • Excellent communication and collaboration skills !important; • A proactive, highly motivated, can-do attitude Bonus Points: • Experience developing SDKs, CLI tools, or developer infrastructure • Experience working on high-scale or low-latency systems • Excited about building new products and systems from the ground up • Pragmatic, curious, and comfortable expressing a strong technical opinion • Fast learner who can adopt new technologies from research to production Now to the important details Perks Stack 🎁 Stock options, a competitive salary, a new MacBook Pro, plenty of SWAG, and a fun, dog-friendly office. ⌨️ We believe in choosing the right tools for the job. Our stack includes TypeScript, Node.js, NestJS, React, Redux, GraphQL, PostgreSQL, SQS, and AWS. Office<>Remote 🏠 We work 4 days together, 1 day from home. Location 📍 Our office is located in Tel Aviv, between Rothschild Boulevard and Neve Tzedek. We also help our team with commuting and parking.

About Stigg Every AI company is accidentally building a bank. Every prompt, agent run and API call spends real money, and something has to decide, in real time, who is allowed to do what and how much it costs. Stigg is the usage runtime for AI products. We sit in the request path and give engineering teams real-time entitlement enforcement, AI credits, usage metering and spend governance, so they can launch any pricing model without building a ledger into their codebase. AI Credits, Under Control. Teams at Miro, Webflow, PagerDuty, Upwork, Qlik and AI21 Labs run on Stigg. In June 2026 we launched Stigg 2.0 at the AI Engineer World's Fair, and AI startups started showing up on their own. The role Since Stigg 2.0, self-serve signups from AI startups have roughly doubled, with no dedicated team behind them. Winning net-new AI logos is now the most important number in the company. We are hiring our first Head of Growth to turn that pull into a compounding engine. You will build and run Stigg's first product-led channel as a self-sufficient squad, with your own engineer, your own inside sales and your own budget. You own the number from first visit to activation, paid conversion and expansion. Here is the twist: more and more, the "user" evaluating Stigg is not a person. It is a coding agent reading our docs, calling our MCP server and wiring up entitlements on a developer's behalf. Next, it will be agents paying for usage on their own. You will make Stigg the default answer when an agent needs credits, metering or entitlements, and the easiest infrastructure in the world for an agent to find, integrate and pay for. What you'll own • The self-serve number, end to end. Signups, activation, free-to-paid conversion and AI logo acquisition, reviewed weekly. You decide which levers to pull and which channels to kill. • Time to value. Get a developer, or their agent, from signup to a first live entitlement check in minutes. Onboarding, quickstarts, templates, docs, the pricing page and the in-product upgrade path are yours to change. • Agents as users and as customers. Make Stigg discoverable and usable by agents: AI search (AEO / GEO), the MCP Registry and agent marketplaces, agent-readable docs and llms.txt, CLI and API-first signup, and agent-native payments (x402, Stripe's Machine Payments Protocol and whatever comes next). Measure how much of our growth comes from agents, then grow it. • Expansion revenue. Define product-qualified leads, run an inside sales motion that grows self-serve logos into bigger contracts, and hand enterprise-scale accounts to our sales team cleanly. • Your squad. Hire and lead a growth engineer and an inside sales rep, direct agencies (SEO / AEO, paid, content), and partner closely with product, engineering and marketing. You have a dedicated budget. Spend it like it is yours. Who you are • An operator, not an advisor. You have owned a self-serve number at a developer, API or AI infrastructure company, and you can tell us what it was when you started and when you left. • Technical enough to be dangerous. You read API docs, write SQL and ship your own experiments with AI tools. You pair with engineers instead of filing tickets for them. • Fast, with taste. You run lots of experiments, kill the losers without sentiment, and still know the difference between a growth hack and a product developers love. • Already building for agents. You have opinions on how coding agents discover, choose and integrate tools, because you have tested it yourself. • A player-coach. High agency, low ego, comfortable working directly with founders, with no committee between you and the decision. Requirements • 6+ years in growth, product or marketing, including 2+ years leading self-serve or product-led growth for a developer-facing product • Measurable wins in activation and free-to-paid conversion, with numbers you can walk us through • Experience building a PLG-to-sales motion: PQLs, inside sales and expansion • Experience hiring and managing a small team and agencies against a budget Bonus points • You have grown a usage-based, credits or payments infrastructure product • You have shipped an MCP server, a CLI signup flow or agent-facing docs, or experimented with x402, MPP or ACP • You have a public voice in the developer or AI community Why you'll love working at Stigg Joining now means building the first growth engine for a category-defining product, at the exact moment every AI company is figuring out how to meter, price and control usage. You will own a real budget, a real squad and a real number, with a direct line to the founders. If you are excited about turning organic pull into a compounding machine, and about what growth looks like when the customer might be an agent, we would love to meet you. Perks, office and location Stock options, competitive salary, latest MacBook Pro, dog-friendly office and great team vibes.

Stigg The Usage Runtime for AI Products But what is it exactly? Built by former New Relic engineers, Stigg provides the infrastructure AI companies need to meter, monetize, and govern product usage at scale. Our real-time usage runtime enables companies to manage entitlements, usage metering, credits, budgets, and access controls - all without building complex infrastructure from scratch. So what? Why now? AI is fundamentally changing how software is consumed and monetized. Every API request, inference, or agent action can generate real cost, while traditional billing systems only report usage after it happens. Stigg helps AI companies make real-time decisions about what each customer, user, team, or agent is allowed to do - before the cost is incurred. This gives engineering teams the control they need, while allowing Product and GTM teams to quickly introduce and evolve new monetization models. Are you funded? 💰 We are! Stigg is backed by Red Dot Capital Partners, Unusual Ventures, and Emerge. Our platform is trusted by leading companies such as Miro, Webflow, PagerDuty, Upwork, Productboard, Qlik, and HackerOne. Team → Product → Traction - where you at? 🐜 A lean global team of around 40 people 🏠 Headquartered in Tel Aviv, with team members across Israel, the US, and Europe 🚀 Launched Stigg 2.0 - the Usage Runtime for AI Products ⚡ Built to process over 1M usage events per second and make real-time decisions in milliseconds We’re looking for an exceptional Infrastructure Backend Engineer! We’re looking for a Backend Engineer to join our Metering & Infrastructure team and help build the infrastructure that powers the next generation of AI products. Stigg sits directly in the request path of our customers’ applications, making real-time decisions about entitlements, credits, usage, and access. This makes performance, scalability, and reliability critical to everything we build. You’ll work on our metering infrastructure, built to handle 1M events per second, including remote deployments running in our customers’ cloud environments. You’ll also partner closely with our engineering teams to help them move faster, improve the developer experience, and build the tools and infrastructure they need to ship software quickly and reliably. What will be your primary goals 🎯 • Lead infrastructure initiatives and continuously improve our SDLC, CI/CD pipelines, and cloud infrastructure. • Build and scale our high-throughput, low-latency metering pipeline. • Build and maintain BYOC (Bring Your Own Cloud) deployments in customers’ cloud environments. • Improve the developer experience by building tools and infrastructure that help our engineering teams move faster and ship with confidence. • Play an active role in shaping our architecture and driving key technical decisions. What we think can help you achieve your goals 🏆 • 3+ years of backend software engineering experience, with a strong focus on infrastructure. • Proven experience designing and building APIs, microservices, and distributed systems. • Strong understanding of messaging systems and event-driven architectures. • Hands-on experience building and maintaining CI/CD pipelines. • Experience working with Docker, Kubernetes, and cloud infrastructure, preferably AWS. • Daily hands-on experience with AI coding tools (Claude Code, Cursor) and agentic development workflows. You Are • Excited about building new products and systems from the ground up. • Pragmatic, curious, and comfortable expressing a strong technical opinion. • Fast learner who can adopt new technologies from research to production. • An excellent communicator and collaborator. • Proactive and highly motivated. Bonus Points 🌟 • Experience with Infrastructure as Code (IaC) tools like Terraform or Pulumi. • Experience building SDKs, CLI tools, or internal developer tooling. • Experience with Kafka and stream processing frameworks like Apache Flink. • Experience building and operating high-scale, low-latency systems. • Experience working on infrastructure or platform teams with a strong focus on developer experience (DevEx). • Hands-on experience with Node.js and TypeScript. • Experience with Argo CD and GitOps workflows. Now to the important details Perks Stack 🎁 Stock options, a competitive salary, a new MacBook Pro, plenty of SWAG, and a fun, dog-friendly office. ⌨️ We believe in choosing the right tools for the job. Our stack includes K8s, ArgoCD, Kafka, Apache Flink, TypeScript, Node.js, NestJS, GraphQL, PostgreSQL, SQS, and AWS. Hybrid 🏠 We work 4 days together, 1 day from home. Location 📍 Our office is located in Tel Aviv, between Rothschild Boulevard and Neve Tzedek. We also help our team with commuting and parking.