Jobs in Tel Aviv-Yafo

We're Miggo — a cybersecurity startup on a mission to stop app-layer breaches before they happen. Founded in 2023 and backed by top tier cyber VCs, we’re building the world’s first Application Detection & Response (ADR) platform. Why? Because 80% of cyber attacks target the app layer, and current tools just don’t cut it. Miggo brings visibility into how apps actually behave at runtime, spotting risky flows and shutting down threats in real time. If you're excited to shape the future of app security from the inside out — join us. At Miggo, we live by four core principles: We make it customer-focused, putting user needs at the heart of everything we build. We make it happen, driven by a can-do mindset and an obsession with winning. We make it better, always pushing boundaries, learning new things and owning our impact. And most importantly, we make it together — one team, working hard, laughing harder, and thriving on diverse perspectives. What you'll do In this role, you’ll write low-level code that hooks deep into runtimes and OS internals (via eBPF) to capture runtime data with near-zero overhead. Basically, you’re creating the “eyes and ears” inside applications, so we can detect intrusions as they happen. You’ll be pushing the envelope of what eBPF and kernel tech can do: tracing syscalls, monitoring network flows, and intercepting anything attackers might exploit. Your work will help determine exploitability and flag compromises instantly – even for zero-day attacks that nobody has seen before. This is a high-impact, experimental role: part engineer, part hacker – optimizing for performance and reliability while you’re bending the rules of the OS. If you love digging into assembly, performance tuning, and building tools that peer into the guts of running software, come join us. You’ll have the freedom to innovate at the lowest levels of the stack (and we promise, no boring corporate kernel modules here – only the fun stuff!). What you have Do you dream in C and know the Linux kernel like an old friend? We need an eBPF wizard to build the secret sauce of Miggo’s platform – our ultra-lightweight, in-app sensor Why You'll Love Working at Miggo? At Miggo, you’ll help bridge the worlds of massive runtime data and intelligent security experiences. You’ll own systems that make our platform fast, reliable, and insightful, and your work will directly shape how users see and understand their security posture. You’ll join a small, passionate team building from the ground up, where your ideas, architecture, and code will have a visible impact every day.

About Miggo Miggo is building the next generation of application security. We operate a high-scale, data-intensive platform and are looking for a strong DevOps Engineer with SRE capabilities to join a strong, ambitious team. This is an opportunity to have real impact on the company and help build something big from the ground up. The Role You'll own and evolve the infrastructure and reliability of our production platform — a distributed, data-heavy system running on AWS and Kubernetes. You'll work closely with engineering to keep our services fast, reliable, and observable as we scale, while continuously improving our automation, deployment, and operational processes. This role is a fit for someone responsible and hands-on, who wants to contribute to the team effort, take ownership, and keep learning and expanding their capabilities. What You'll Do • Design, build, and operate scalable, resilient infrastructure on AWS and Kubernetes. • Own reliability: define SLOs/SLIs, improve observability, and drive down toil through automation. • Manage and tune our core data and workflow systems — ClickHouse, PostgreSQL, Kafka, and Temporal — for performance and reliability at scale. • Build and maintain CI/CD and GitOps workflows using ArgoCD and GitHub. • Manage infrastructure as code with Terraform. • Lead incident response, run postmortems, and drive systemic improvements. • Establish and improve engineering and operational processes suited to a company operating at scale. • Partner with development teams to make the right reliability, cost, and scalability tradeoffs. What We're Looking For • Strong hands-on experience as a DevOps and/or SRE engineer. • Deep experience with Kubernetes and AWS in production. • Solid experience with Temporal, Kafka, PostgreSQL, and ClickHouse. • Experience with Terraform (IaC) and GitOps tooling such as ArgoCD. • Familiarity with processes and practices for companies operating at scale. • A responsible, ownership-driven mindset with strong collaboration and communication skills. • Eagerness to learn, grow, and contribute to a shared team effort. Our Stack AWS · Kubernetes · ArgoCD · Terraform · ClickHouse · PostgreSQL · Kafka · Temporal · GitHub Why Miggo • Big impact: your work directly shapes how we scale and operate. • Build something meaningful: help lay the foundation for a strong, growing platform. • Strong team: work alongside talented engineers who care about quality and ownership. • Growth: room to expand your skills and take on increasing responsibility.

About Miggo We're Miggo — a cybersecurity startup on a mission to stop app-layer breaches before they happen. Founded in 2023 and backed by top-tier cyber VCs, we're building the world's first Application Detection & Response (ADR) platform. Why? Because 80% of cyber attacks target the app layer, and current tools just don't cut it. Miggo brings visibility into how apps actually behave at runtime, spotting risky flows and shutting down threats in real time. We're closing the patch gap: showing security teams what's reachable, what's exploitable, and what's being attacked right now — and delivering targeted mitigations when a patch isn't ready. At Miggo, we live by four core values: • We make it customer-focused — user needs are our north star. • We make it happen — driven by execution and a can-do mindset. • We make it better — always pushing boundaries and learning fast. • We make it together — one team, thriving on collaboration and diverse perspectives. About the Role Miggo's WAF Copilot takes a freshly disclosed CVE and produces a validated, provider-specific WAF rule — researching the vulnerability, deriving the attack surface, composing the rule, then attacking its own output with an independent bypass judge and a false-positive prober before a human is offered a deploy. As WAF Security Specialist you are the ground truth the Copilot is measured against — the person who can look at a generated rule and say this blocks the PoC but not the four obvious variants, this will trip on legitimate multipart uploads, this is 340 WCUs of nothing because the managed ruleset already catches it, this can't be anchored tightly enough to live in a global Web ACL. You'll be shipping rules for real customers — and you'll do it through our AI harness, and help optimize it. In practice that means driving the harness on live work: feeding it a vulnerability, judging what comes back, tightening the match, and validating it against real exploit traffic until it's something you'd put your name on. Sometimes you'll write the expression yourself — the CVE with no public PoC, the emerging threat you have to reason out of a patch diff, the customer who needs coverage this afternoon. Most of the time you'll be applying expert judgment at every step of a generated rule's life, which is a different and harder skill than authoring from a blank page. Because you'll be the harness's heaviest user, you'll also be the reason it gets better. You'll see exactly where it breaks down — the research step that missed the real sink, the composer that over-broadened, the judge that passed a rule it shouldn't have — and turn that into validations, analyses, and evals that go back into the agent. You'll work side by side with the Copilot & AI team so the agent stops making the mistake, instead of you catching it again next month. That feedback loop is the core of this role. All of it rests on knowing where WAFs actually break: normalization and encoding evasion, parameter pollution, body-inspection size limits, oversize-content handling, rule precedence, and the gap between "the rule matched in staging" and "the rule holds against a motivated attacker." An AI can propose a rule. Knowing whether to trust it is the job. What You'll Do • Create - Produce production WAF rules across providers for high-impact CVEs and customer findings — driving the Copilot harness on most of them, writing the expression yourself on the hard ones (no public PoC, exploitable path reasoned out of a patch diff, urgent customer coverage). Your rules ship, and they set the bar generated rules are measured against. • **Optimize -**Tighten generated rules for real production constraints: WCU and rule-capacity budgets, latency, provider expression limits, and the anchoring required for a rule that fires against all traffic behind a shared Web ACL — not just the vulnerable app. • Validate - Own the adversarial pass. Build exploit variants the PoC doesn't cover, hunt bypasses in our own rules, and run the false-positive side seriously — verifying against how the legitimate client actually behaves on the wire, not against an assumption. • Monitor - Watch deployed rules in production: false-positive signals, hit patterns, coverage drift as managed rulesets shift underneath us, and the log→block promotion decision. Retire what no longer earns its capacity. • Make it reproducible - Turn every finding into a regression test. Build and curate the golden CVE datasets and scoring rubrics that gate whether a new Copilot version ships. • Set the coverage line. Judge which CVEs are genuinely WAF-mitigatable and which aren't, and make the call on what enters and leaves our managed rulesets — with the reasoning written down. What You'll Have • Deep, hands-on WAF expertise across multiple major providers — you've written, tuned, and operated real rules in production on several of: AWS WAFv2, Cloudflare, F5, Imperva, Akamai, Azure, GCP, Fortinet, ModSecurity/CRS. Not "managed a WAF vendor relationship" — written the rules. • You know the caveats cold. Body-inspection limits and oversize handling, text transformations and normalization order, encoding and unicode evasion, parameter pollution, chunked and multipart edge cases, rule precedence and evaluation order, WCU/capacity economics, and how each provider's expression language quietly differs from the others. • Strong security research background — application security, vulnerability research, or offensive security. You can read an advisory, build the PoC, derive the variants nobody published, and explain exactly which request component carries the exploit primitive. • A real feel for the false-positive tradeoff. You've had to defend a blocking decision to someone whose production traffic you broke, and you know why "block everything suspicious" is not a security posture. • Comfortable in code. Enough Python (or similar) to automate replay, build variant generators, and query exploit and traffic data yourself rather than waiting on someone. • Fast under pressure, systematic afterward. You can get a solid rule out the door when a customer needs one today — and your instinct once it ships is to build the check that catches the whole class, not just the instance you fixed. • Advantage: virtual patching / vulnerability-mitigation experience, or time on a WAF vendor's rules or research team. • Advantage: hands-on with LLMs and agentic tooling — you'll be shaping an AI system's output, and it helps to understand how it fails. Why You'll Love This Role You'll do the craft work you're actually good at — writing rules against hard vulnerabilities, under real time pressure, for customers who feel the difference. What's unusual is that here it compounds: every rule you write and every bypass you find makes an AI system permanently better at something an expert used to do by hand, across every customer and every future CVE. You get the individual save and the leverage over the whole fleet. You'll have real authority over what we ship and what we refuse to ship, direct access to the engineers building the agent, and a rare seat at the point where security research and AI actually meet in production. <!-- notionvc: 9520b65f-bc16-4842-b3f2-bfa990a9bdf6 -->

Scope: Hands-on technical lead, no direct reports — influence across Copilot & AI, Pipeline, and Experience About Miggo We're Miggo — a cybersecurity startup on a mission to stop app-layer breaches before they happen. Founded in 2023 and backed by top-tier cyber VCs, we're building the world's first Application Detection & Response (ADR) platform. Why? Because 80% of cyber attacks target the app layer, and current tools just don't cut it. Miggo brings visibility into how apps actually behave at runtime, spotting risky flows and shutting down threats in real time. We're closing the patch gap: showing security teams what's reachable, what's exploitable, and what's being attacked right now — and delivering targeted mitigations when a patch isn't ready. At Miggo, we live by four core values: • We make it customer-focused — user needs are our north star. • We make it happen — driven by execution and a can-do mindset. • We make it better — always pushing boundaries and learning fast. • We make it together — one team, thriving on collaboration and diverse perspectives. About the Role Miggo already runs agents in production. Our WAF Copilot takes a freshly disclosed CVE and turns it into a validated, provider-specific WAF rule — a state-driven agent graph that researches the vulnerability, maps the attack surface, composes the rule, then attacks its own output with an independent bypass judge and a false-positive prober before a human is ever offered a deploy. When a weakness survives, the system downgrades its own recommendation and records what it could not prove. That last part is the thesis of this role. An agent that touches production security must prove it works and declare what it couldn't prove. The security industry is about to be flooded with agentic claims nobody can verify. We intend to be the company that made verification legible — and that starts with holding our own agents to a standard we're willing to publish. We're looking for an AI Tech Lead to own that standard across three surfaces: • The platform - Today each agent flow is close to a bespoke implementation. You'll turn our hard-won patterns into shared components, conventions, and infrastructure so the next agent is a week of work rather than a quarter — with evaluation, observability, and cost control built in rather than bolted on. • Enablement - Miggo's advantage compounds only if the whole company is AI-fluent, not just R&D. You'll raise that fluency everywhere — engineering, research, product, GTM — through tooling, patterns, and teaching. • The voice - You'll publish the methodology: how we benchmark agentic security output, how we model residual risk, what we learned failing. This is a category-defining position and we want it argued in public. This is a hands-on lead role with no direct reports. Your authority comes from the quality of what you build and how clearly you explain it. What You'll Do • Define and build Miggo's agent framework — shared components, orchestration patterns, tool interfaces, and conventions that make "how do I build an agent here" a five-minute answer. • Make evaluation a gate, not an afterthought: trajectory testing, golden datasets, offline replay, and per-dimension scoring that runs in CI. Land the release benchmark so promote / hold / rollback is a number, not a vibe. • Own agent observability end to end — the execution graph, tool invocations, intermediate reasoning, latency per step, and quality drift — including the external Temporal-orchestrated flows that are hardest to introspect today. • Own the economics: provider abstraction, model routing by task complexity, small-model substitution where it holds, cost attribution per flow. Thousands of CVEs through a labeling agent is a budget line, not a detail. • Drive latency and determinism in our production agent flows — tighter loops, early stopping, deterministic state machines over prose-in-prompt orchestration. • Raise the company's AI fluency. Build the internal tooling, skills, and playbooks that let every team — not just R&D — work AI-natively, and teach the judgment for when not to. • Partner with security research, product, and engineering leadership so agent capability and product roadmap actually converge. What You'll Have • You've shipped agentic systems to production — real orchestration, tool use, structured outputs, and the failure modes that only appear at scale. Not "I've called an LLM API." • You've built the evaluation discipline, not just consumed it: trajectory tests, golden datasets, regression gates, offline replay. "It seems better" is not a metric, and you have opinions about what is. • Deep backend and distributed-systems engineering. Strong Python, and comfort with workflow orchestration (Temporal or equivalent), streaming, and cloud-native infrastructure. Agent platforms are systems problems wearing an AI hat. • Fluency across the modern agent stack — LangChain/LangGraph-style frameworks, multi-provider routing, structured output contracts, prompt and context engineering — with the judgment to know which parts are load-bearing and which are fashion. • Security literacy. Enough to reason about whether an agent's security output can be trusted, and to argue with researchers on the merits. You don't need to be a vulnerability researcher. • Influence without authority. You'll change how three teams work with no one reporting to you. Show us where you've done that. • Advantage: experience with AI/LLM security — red-teaming agents, prompt injection, or agentic attack patterns. • Advantage: background in cybersecurity, detection engineering, or WAF/mitigation systems. • Advantage: you've driven AI adoption across a whole company, not only an engineering org. We deliberately don't list a years-of-experience bar. Agent engineering is a few years old as a discipline — we care what you've shipped and what you learned when it broke. Why Miggo? Most "AI lead" roles are a greenfield promise. This one isn't: there are real agents in production, real customers behind them, and a genuinely hard standard already half-built. You'll get the leverage of setting how an entire company builds with AI, the autonomy of a hands-on lead with no layers to negotiate, and a platform to argue the methodology in public while the category is still being defined. We're small enough for your conventions to become how Miggo works — and bold enough to publish them. <!-- notionvc: ed497ce1-f06b-42c5-be56-ef1286b4799f -->

We're Miggo — a cybersecurity startup on a mission to stop app-layer breaches before they happen. Founded in 2023 and backed by top tier cyber VCs, we’re building the world’s first Application Detection & Response (ADR) platform. Why? Because 80% of cyber attacks target the app layer, and current tools just don’t cut it. Miggo brings visibility into how apps actually behave at runtime, spotting risky flows and shutting down threats in real time. If you're excited to shape the future of app security from the inside out — join us. At Miggo, we live by four core principles: We make it customer-focused, putting user needs at the heart of everything we build. We make it happen, driven by a can-do mindset and an obsession with winning. We make it better, always pushing boundaries, learning new things and owning our impact. And most importantly, we make it together — one team, working hard, laughing harder, and thriving on diverse perspectives. What you'll do Miggo is looking for a Security Analyst who loves to deeply analyze CVEs and build effective mitigations. Sitting at the intersection of security research and data analysis, you’ll work closely with research and engineering teams across the company to develop high-impact security controls that keep our customers safe. In this role, you will: • Own the answer to “do our mitigations actually work, and how do we know?” • Build tools to evaluate and improve agentic workflows that generate WAF rules and runtime detections. • Prioritize and analyze newly disclosed CVEs on a daily basis to support effective WAF rule creation. • Analyze coverage levels across various CVE groups, attack vectors, and bug classes. • Conduct data-driven research to optimize automated workflows and recommend next-generation mitigation capabilities. • Perform ad-hoc data analysis to support security research and engineering initiatives. You’re a great fit if you: • Love diving deep into newly disclosed CVEs actively exploited in the wild. • Enjoy analyzing complex security data to uncover actionable insights that drive product and engineering decisions. • Want to define and monitor quality metrics that ensure the efficacy of security products. • Excel at collaborating with engineers to trace data flows, identify anomalies, and refine data pipelines. • Continuously question assumptions, challenge inconsistencies, and hold high standards for both data and security integrity. • Naturally lean on quantitative evidence to prove a point and back up your security hypotheses. What you have • 5+ years of experience as a security researcher. • Proven ability to extract, synthesize, and present clear insights from complex security datasets. • Strong quantitative approach to problem-solving. • Prior experience with Web Application Firewalls (WAF) or runtime detections is a plus. • Hands-on experience or background in Data Analysis / Data Science is a strong advantage. Why You’ll Love Working at Miggo? At Miggo, you’ll sit where security research meets real-world data. Your analysis will directly shape how our mitigations are built, measured, and improved, and how our customers stay protected against the newest threats. You’ll join a small, passionate team building from the ground up, where your ideas, research, and insights will have a visible impact every day.

Product Manager Tel Aviv · Product About Miggo Miggo is closing the patch gap. We created the Application Detection and Response (ADR) category to give security teams runtime visibility into what's actually happening inside their applications — what's reachable, what's exploitable, and what's being attacked right now. And we don't stop at seeing it: when a patch isn't ready, Miggo provides targeted mitigations that shield the application in real time — protecting what's exploitable while the fix catches up. Backed by top-tier investors and trusted by leading enterprise security teams, we're building the category-defining platform for runtime application security. About the role We're looking for a Product Manager to own Miggo's Runtime Domain — the engine that powers vulnerability intelligence, attack detection, sensor capabilities, and our application DNA (appDNA) model. This is the technical core of the product, where security research, runtime telemetry, and product judgment meet. At Miggo, product management is an engineering discipline. You'll be expected to go deep on the technology, hold your ground in technical debate, and ship — not just write specs. This role reports to the Senior Director of Product. What you'll do • Own the roadmap for detection, vulnerability intelligence, and sensor capabilities. Decide what we build, kill, and punt. • Partner with security research daily — turn raw findings, new CVE classes, and exploitation patterns into shippable product. • Write specs engineers respect. Argue about data models and detection quality, not pixels. • Run design partnerships with enterprise security teams. Sit with them, watch them work, come back with conviction. • Run discovery sessions with customers to maximize the value from the Miggo platform. • Use AI tooling as a force multiplier in your own workflow — prototyping, evals, internal agents. Not as a feature you slap on. What we're looking for • Strong technical background — Must. Engineering, security research, or equivalent hands-on technical role. You can read a stack trace, reason about request flow through a service, and have a point of view on why existing AppSec categories under-deliver. • Security research background — Must. Application security, vulnerability research, offensive security, or a technical military intelligence role. Comfortable going deep on CVE classes, exploitation patterns, and runtime signals. • Product experience. Formal PM, founding engineer with product instincts, or a tech lead who shaped what shipped. We care about evidence you delivered things customers actually used — not the title on your last business card. • AI-native operator. You've built something with modern AI tooling — an agent, an eval harness, a workflow — not just used it. • Hands-on by default. Comfortable in fast-paced startup environments where there's no one to hand the work off to. • Clear writer in English. Slack messages, specs, customer notes. Compression matters. Two questions we'd like you to answer Skip the cover letter. Send us: • The most technical thing you've shipped or researched — and what you'd have done differently. • One detection, vulnerability, or AppSec product on the market that you think gets it wrong — and why.

We’re Miggo — a cybersecurity startup on a mission to stop app-layer breaches before they happen. Founded in 2023 and backed by top-tier cyber VCs, we’re building the world’s first Application Detection & Response (ADR) platform. Why? Because 80% of cyber attacks target the app layer, and current tools just don’t cut it. Miggo brings visibility into how apps actually behave at runtime, spotting risky flows and shutting down threats in real time. If you're excited to shape the future of AI-driven application security from the inside out — join us. At Miggo, we live by four core principles: • We make it customer-focused, putting user needs at the heart of everything we build. • We make it happen, driven by a can-do mindset and obsession with winning. • We make it better, always pushing boundaries, learning fast, and owning our impact. • We make it together, one team that collaborates, laughs, and thrives on diverse perspectives. What you'll do Miggo is looking for a Senior Full Stack Engineer with a backend-oriented mindset to join our growing R&D team. In this role, you’ll be responsible for connecting Miggo’s high-scale data infrastructure with our customer-facing portal—turning complex, runtime telemetry into fast, intuitive, and intelligent user experiences. You’ll work closely with product, design, and Data pipeline and security engineers to build data pipelines, APIs, and integrations that make Miggo’s platform both powerful and delightful to use. This is a hands-on role at the intersection of backend systems, high scale data engineering, and user experience, shaping how massive volumes of runtime data flow through Miggo’s data-driven platform. You’ll Be Great For This Role If You Love To: • Design and implement efficient data pipelines and backend integrations that connect our high-scale data to the user-facing portal. • Build and optimize APIs, data services, and caching layers to ensure fast and reliable data access. • Use data modeling, denormalization, and performance optimization to handle complex queries and large datasets effectively. • Collaborate closely with frontend engineers, product managers, and designers to ensure data flows seamlessly into intuitive UI components. • Contribute to the architecture and scalability of Miggo’s hybrid cloud-native platform. • Write clean, testable, production-ready code in Python, Node.js, TypeScript, and React, while keeping performance and maintainability top of mind. • Stay close to users and product feedback loops — helping translate technical insights into better experiences. • Own end-to-end delivery, from backend design through deployment using CI/CD, Temporal, and Kubernetes. What you have • 7+ years of fullstack experience, with a strong backend focus. • Deep expertise in Python, Node.js, TypeScript, and PostgreSQL (or similar relational DBs). • Proven experience in high-scale data systems, including data ingestion, aggregation, and performance tuning. • Advantage - Experience in ClickHouse DB / OpenSearch • Strong understanding of data modeling, denormalization, and API performance optimization. • Familiarity with React and modern frontend frameworks for connecting and visualizing backend data. • Experience with CI/CD pipelines, Kubernetes, Docker, and cloud-native architectures. • Strong collaboration, communication, and problem-solving skills, you love working across disciplines to deliver impact. • Experience in startups or high-growth environments, where speed, ownership, and quality go hand-in-hand. Why You'll Love Working at Miggo? At Miggo, you’ll help bridge the worlds of massive runtime data and intelligent security experiences. You’ll own systems that make our platform fast, reliable, and insightful, and your work will directly shape how users see and understand their security posture. You’ll join a small, passionate team building from the ground up, where your ideas, architecture, and code will have a visible impact every day.

Description ClickCease is CHEQ's self-serve Digital Acquisition & Marketing Stack Protection platform, protecting SME/SMB sites from invalid traffic across ad platforms (Google Ads, Meta, and more) and user acquisition funnels (forms, tags, and more). As PLG Product Manager, you will own the product end-to-end: roadmap, growth metrics, and the self-serve experience that converts trial users into expanding customers. We're looking for a Product Manager to join our global Product team and take ownership of ClickCease, CHEQ's self-serve PLG platform. Reporting directly to the Chief Product Officer and working closely with the division head, you'll play a key role in shaping the product strategy, influencing business priorities, and driving product decisions across the organization. WHAT YOU'LL DO • Own and drive the ClickCease product roadmap - from ideation and prioritization through delivery, launch, and iteration. • Define and continuously optimize the self-serve funnel: acquisition, conversion, onboarding, retention, and expansion. • Represent the voice of the ICP - conduct market research, user interviews, analyze support trends, and synthesize insights into product decisions. • Define, monitor, and report on key PLG metrics: activation rate, time-to-value, trial conversion, MRR expansion, churn rate, and NPS. • Lead a KPI-based experimentation culture - design A/B tests, analyze results rigorously, and build institutional knowledge from every experiment. • Set pricing and packaging strategy for self-serve subscription tiers, in collaboration with GTM, finance, and leadership. • Monitor the competitive landscape across click fraud prevention, ad verification, and broader ad-tech to identify opportunities and threats. Requirements • 3 - 6 years total product management experience, with a track record of shipping impactful, customer-facing features at a B2B or B2C SaaS company. • PLG / Self-serve product experience [Must Have] - 2+ years as PM on a self-serve SaaS product with a PLG motion (freemium, free trial, or usage-based). You have owned activation and retention funnels, not just features. • Martech / Ad-tech / Advertising platform knowledge [Must Have] - Deep familiarity with Google Ads and/or Meta Ads: campaign structure, conversion tracking, pixel setup, audience targeting, and the day-to-day workflow of a PPC advertiser. You speak the advertiser's language. • Experimentation discipline - Experience designing, running, and correctly interpreting A/B tests. You treat every roadmap decision as a hypothesis waiting to be validated. • SMB market empathy - Deep understanding of small and mid-sized business constraints: budget sensitivity, speed of decision-making, and the outsized value of simplicity in a product. • Strong analytical skills - Comfortable with product analytics tools (Mixpanel or similar) and SQL basics. You question the data before acting on it. • Relevant pricing & packaging experience - You have worked on subscription tier design, trial mechanics, upgrade flows, or usage-based pricing in a self-serve context. NICE TO HAVE • Experience in click fraud prevention, invalid traffic detection, or digital ad verification. • Background in security-adjacent SaaS - bot detection, traffic quality scoring, or ad verification platforms such as DoubleVerify or IAS. • Experience owning products with third-party API integrations - ad platforms, CRMs, analytics tools, and the technical complexity they bring.

Description CHEQ is the Intelligence Standard for the Human-AI Era, trusted by over 15,000 customers worldwide to confidently engage, transact, and thrive in this new era of digital transformation. Powered by award-winning cybersecurity technology, CHEQ offers the only integrated Traffic, Threat, and Identity Intelligence Engine, enabling companies to distinguish between legitimate users and bad actors - human, AI agent, or bot - and deliver granular, context-specific insights in real-time to marketing, commerce, and security platforms. CHEQ is a global company with offices in Tel-Aviv, New York, London and Tokyo. Our R&D organization is global, professional and strives for best practices and high efficiency. About the Role  This is an exciting opportunity for an experienced Senior Software Developer to join our growing R&D team and drive key architecture and development efforts. In this role, you will lead the design, build, and maintenance of scalable, production-ready systems for one of CHEQ’s main core engines and products. Working alongside high-performing engineers, you will take full ownership of features end-to-end: from database architecture and high-performance backend microservices to modern frontend applications. This is a high-impact position for a seasoned engineer looking to influence product direction and solve complex technical challenges in a fast-paced, global environment. Our stack is NodeJS, Typescript , Python and more. microservices on Kubernetes in AWS, with PostgreSQL, MySQL, ClickHouse, Redis, Grafana, and GitLab CI/CD. We embrace AI-assisted development—engineers work daily with tools like Claude Code across coding, code review, and system design. What You’ll Do • Design and develop and maintain new and existing features across the core engine and other products in the team. • Collaborate with Product Managers and Designers to define product specifications and translate them into high-quality technical solutions. • Promote best practices in testing, performance, and security. • Participate in the on-call rotation and support production issue investigations and validations. Requirements • Education: Bachelor's degree in Computer Science, Software Engineering,BA or BsC from a recognized university - A Must • Core Technical Skills: Advanced knowledge in NodeJS and TS - A Must - 7 years of experience and above. Fullstack capabilities in react/vue - An advantage. • Cloud Exposure: Solid foundational understanding of cloud environments (AWS, GCP, or Azure) • Database experience - worked with both relational and non relational databases. Can be SQL, Clickhouse, Snowflake and for noSQK - MongoDB, Couchbase, DocumentDB or DynamoDB. • Adaptability & Drive: Strong autodidact with a proven ability to learn complex concepts quickly and independently • AI-First Mindset & Execution: Throughout your work experience in the last 2 years - you consistently apply an AI-first approach to problem-solving. (not treating AI as a simple autocomplete tool but leverages modern AI tooling, across the entire software development lifecycle) from rapid prototyping and architecture design to automated unit test generation and debugging. • Work Ethic: Highly passionate about technology, results-driven, proactive, and committed to delivering high-quality work. • Collaboration: Excellent team player with strong communication skills and a collaborative mindset

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.

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.

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.

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

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 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.

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.

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 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.

Description Who We Are: WeSki’s vision is to make it easy for skiers across the globe to book and enjoy their ideal ski trip at the best possible price. As the ultimate ski trip booking platform, WeSki enables everyone to design and book their ideal adventure in just a few clicks - quickly, seamlessly, and affordably. In an $80 billion industry that has remained largely traditional, this opens up a massive opportunity to redefine ski trips for modern consumers. WeSki’s technology compares millions of combinations of flights, accommodation, transfers, passes, gear, and lessons instantly, saving hours of planning. Each trip is fully customisable, giving customers the flexibility of building it themselves, but with the expert protection and support of a holiday provider. With all trip components automatically linked, customers can relax and enjoy their holiday knowing that all the logistics are taken care of, alongside 24/7 customer service whilst they’re away. WeSki is an innovative, passionate, and fast-moving company - we partner with over 275 ski resorts (and counting) across 19 countries and have already sold over 100,000 ski holiday packages to skiers worldwide. We are in a rapid growth mode whilst maintaining profitability, making our business and product opportunities (and challenges) all the more exciting. Role Overview: As a Finance Operations Coordinator at WeSki, you will play a key role in ensuring the accurate and timely execution of supplier payments and supporting critical financial processes. This entry-level position sits within our Finance Operations team and is central to maintaining smooth and efficient payment operations. You will work closely with external partners, managing payments across a broad network of suppliers. To succeed in this role, you will need a sharp eye for detail, a proactive approach, and a strong sense of ownership and accountability for your work. Responsibilities: • Process and execute timely payments to suppliers, ensuring all transactions are accurately recorded in internal systems. • Review and verify supplier invoices, confirming amounts, terms, and details before processing. • Perform basic account reconciliations to ensure payments align with invoices and supplier statements. • Identify and resolve invoice or payment discrepancies in collaboration with suppliers. • Maintain accurate and organized records of all transactions and supporting documents. • Conduct invoice checks to detect potential errors, including incorrect amounts or supplier information mismatches Requirements: • Some experience working in a professional environment • Strong work ethic, reliability, and ownership of tasks from start to finish. • Excellent attention to detail and accuracy. • Comfortable working with numbers and performing data entry. • Basic proficiency in Excel or Google Sheets. • Strong written and verbal communication skills in English • Ability to stay organized, manage time well, and work in a fast-paced environment. • Ability to solve problems under pressure and handle unexpected issues calmly and responsibly • Advantages: • Experience in the travel or hospitality industry • Proficiency in Excel and Google Sheets • Understanding of basic financial processes, such as invoices or reconciliations