Jobs in Tel Aviv-Yafo

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 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.

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.

Description Who we are: WeSki is a self-service ski trip booking platform built for the modern traveller. Our vision is simple, to make great ski experiences available to everyone. We enable customers to build and book a fully custom ski holiday in minutes, combining flights, accommodation, transfers, ski passes, equipment and lessons in one seamless flow. Behind the scenes, our technology evaluates millions of trip combinations in real time. We dynamically connect inventory from thousands of suppliers, automatically optimise which components we bundle together, and present only options that really work. What used to take hours of research and coordination now takes a few clicks and finds much better results for the users. Every trip is fully customisable. Customers get the flexibility of building it themselves, with the security, protection, and support of a regulated holiday provider. Each trip is dynamically orchestrated in real time, with dependencies automatically managed across suppliers at scale, spanning 310 resorts in 20 countries across Europe, North America, Asia and Oceania. From booking to return, we manage the entire journey, so customers can relax and enjoy their holiday. We’ve recently crossed $100M in annual sales, including a $1M single day. Growth is accelerating, unit economics are strong, and the business funds its own growth. High transaction volume, complex infrastructure, real impact, delivered by a small, high-performing team. We operate in a ~$80B global ski market with no technology-native market leader. The industry is still dominated by traditional tour operators, with business models and infrastructure that have barely evolved in decades. This is a rare opportunity to define the future of ski travel at global scale. Key Responsibilities: • Design, develop, and evolve core backend systems and services, with an emphasis on scalability, performance, and maintainability. • Lead complex technical initiatives from concept through production, making architectural decisions that drive long-term impact. • Take end-to-end responsibility for backend production systems, including monitoring, troubleshooting, performance optimization, incident resolution, and infrastructure reliability. • Maintain high engineering standards through code reviews, testing, documentation, and best practices. • Continuously evaluate and adopt modern development tools to improve developer productivity and system quality. • Provide technical leadership and mentorship across the backend domain, influencing architectural standards and engineering culture. Requirements • 10+ years of backend development experience, with a strong focus on Node.js and distributed systems architecture. • Demonstrated ability to influence technical direction and drive architectural decisions. • Thrives in a fast-paced startup environment, demonstrating strong ownership, rapid execution, and a results-driven mindset. • Hands-on experience designing, building, and operating scalable microservices-based systems in production, including databases, caching layers, messaging systems, and high-traffic APIs. • Proven ability to architect, deploy, and operate production-grade cloud infrastructure (AWS/GCP), including networking, observability, CI/CD, security best practices, and cost optimization. • Experience integrating AI services or LLM-based workflows into production backend systems. • Strong communication and collaboration skills, with the ability to work effectively across teams. • Skier or snowboarder - always a plus.

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

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. 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, 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 across 19 countries and have already sold over 100,000 ski holiday packages to skiers worldwide. We are growing rapidly while maintaining profitability, making this an exciting time to join our Finance team. Role Overview: As a Finance Operations Specialist, you will play a key role in keeping WeSki’s day-to-day financial operations running smoothly, accurately, and efficiently. This is a hands-on operational role with a broad scope, covering supplier payments, customer payments, reconciliations, financial controls, and process management. You’ll work closely with the Head of Finance Operations while independently managing key processes and ensuring they are handled effectively from start to finish. We’re looking for someone who is comfortable getting into the details, taking ownership of problems, and improving the way things are done. This isn’t a role for someone who simply follows existing processes. We want someone who is curious about how things work, challenges inefficient workflows, and looks for opportunities to use AI, automation, and technology to make our finance operations more efficient and scalable. The role requires a solid understanding of financial processes, but above all, a strong operational mindset and the ability to independently drive tasks and processes from start to finish. Responsibilities • Independently manage day-to-day finance operations, including supplier payments, customer payments, reconciliations, and related financial processes. • Review and validate supplier invoices, payment requests, and supporting documentation. • Perform account and payment reconciliations, identify discrepancies, and follow issues through to resolution. • Monitor financial activity and proactively identify missing, incorrect, duplicated, or unexpected transactions. • Work closely with suppliers and internal stakeholders to resolve payment and financial issues quickly and effectively. • Maintain accurate financial records and ensure transactions are properly documented and reflected across the relevant systems. • Manage recurring finance processes from start to finish, ensuring they are completed accurately, on time, and in line with established controls and procedures. • Support month-end and other periodic financial activities as needed. • Investigate unexpected financial and operational issues, identify root causes, and drive practical solutions through to resolution. • Identify inefficiencies, manual processes, and bottlenecks across Finance operations, and proactively improve the way we work. • Lead or support the implementation of automation and AI-based solutions to reduce manual work, improve accuracy, and increase efficiency. • Help build, standardise, and document scalable finance processes as WeSki continues to grow. • Support the wider Finance Operations function and take responsibility for ad hoc finance projects and initiatives as needed. Requirements • 3+ years of experience in finance operations, accounts payable/receivebale, accounting, or a similar role. • Solid understanding of core financial processes, including invoices, payments, reconciliations, and basic accounting principles. • Strong attention to detail and a consistently high level of accuracy. • Proven ability to independently manage processes from start to finish. • Strong analytical and problem-solving skills, with the ability to investigate discrepancies, identify root causes, and find practical solutions. • Highly organised, with the ability to prioritise effectively and manage multiple tasks in a fast-paced environment. • Good Excel / Google Sheets skills and confidence working with financial data. • Strong written and verbal communication skills in English. • A hands-on, proactive approach and willingness to get into the details. • Technologically curious and comfortable using AI and automation tools, with an interest in finding smarter and more efficient ways to work. • Ability to adapt quickly to changing processes, priorities, and business needs. Advantages • Experience working in a high-growth startup or fast-paced environment. • Experience in the travel, hospitality, or e-commerce industry. • Experience working with ERP, accounting, payment, or finance systems. • Experience building, improving, or automating financial processes. • Experience using AI tools to improve workflows or automate repetitive tasks. • Experience working with international suppliers, multiple currencies, or cross-border payments.

Description Who we are:  WeSki is a self-service ski trip booking platform built for the modern traveler. Our vision is simple: make great ski experiences available to everyone. Customers build and book a fully customized ski holiday in minutes, combining flights, accommodation, transfers, ski passes, equipment, and lessons in one seamless flow. Behind the scenes, our technology evaluates millions of trip combinations in real time. We dynamically connect inventory from thousands of suppliers, automatically optimize which components we bundle together, and present only options that really work. What used to take hours of research and coordination now takes a few clicks, and delivers better results. Every trip is fully customizable. Customers build it themselves with the security and support of a regulated holiday provider. Behind every booking, dependencies across suppliers are orchestrated in real time, at scale, spanning 310 resorts in 20 countries across Europe, North America, Asia, and Oceania. We've recently crossed $100M in annual sales, including a $1M single day. Growth is accelerating, unit economics are strong, and the business funds its own growth. We operate in a ~$100B global ski market with no technology-native leader. The industry is still dominated by traditional tour operators whose business models have barely evolved in decades. This is a rare opportunity to define the future of ski travel at global scale. Role Overview: • Joining our team in Israel, helping our customers have a unique customer experience. • Serve as the main point of contact for our customers throughout their journey at WeSki. • Post-booking support according to customers’ needs. • Support during the trip to give a great customer experience. • Represent the voice of the customer and influence product development roadmap. • Rotating Shift Work Schedule, including weekends. • This position is for a contract of up to 6 months, with an option for renewal. Requirements: • Native-Level English speaker with strong verbal & written English skills - must • 1+ years of experience working in a tech company, ideally in travel. • 1+ years of experience in customer service / experience, ideally in a remote setting. • Experience working with support and CRM systems, preferably the following platforms: Hubspot, Zendesk- advantage. • Ski experience - advantage! • Solve complicated problems that need simple solutions. • Proven technical skills and self-learning ability, capable of thoroughly understanding the functional and technical aspects of a complex system. • Highly organized with an ability to multitask with multiple priorities.

Description Who we are:  WeSki is a self-service ski trip booking platform built for the modern traveller. Our vision is simple, to make great ski experiences available to everyone. We enable customers to build and book a fully custom ski holiday in minutes, combining flights, accommodation, transfers, ski passes, equipment and lessons in one seamless flow. Behind the scenes, our technology evaluates millions of trip combinations in real time. We dynamically connect inventory from thousands of suppliers, automatically optimize which components we bundle together, and present only options that really work. What used to take hours of research and coordination now takes a few clicks and finds much better results for the users. Every trip is fully customisable. Customers get the flexibility of building it themselves, with the security, protection, and support of a regulated holiday provider. Each trip is dynamically orchestrated in real time, with dependencies automatically managed across suppliers at scale, spanning 310 resorts in 20 countries across Europe, North America, Asia and Oceania. From booking to return, we manage the entire journey, so customers can relax and enjoy their holiday. We’ve recently crossed $100M in annual sales, including a $1M single day. Growth is accelerating, unit economics are strong, and the business funds its own growth. High transaction volume, complex infrastructure, real impact, delivered by a small, high-performing team. We operate in a ~$80B global ski market with no technology-native market leader. The industry is still dominated by traditional tour operators, with business models and infrastructure that have barely evolved in decades. This is a rare opportunity to define the future of ski travel at global scale. Key Responsibilities:  • Design, develop, and evolve core full-stack features, with an emphasis on scalability, performance, and maintainability. • Lead complex technical initiatives from concept through production, making architectural decisions that drive long-term impact. • Take end-to-end responsibility for production systems, including monitoring, troubleshooting, performance optimization, and incident resolution. • Maintain high engineering standards through code reviews, testing, documentation, and best practices. • Continuously evaluate and adopt modern development tools to improve developer productivity and system quality. • Support and mentor other engineers as needed, sharing knowledge and contributing to team growth. Requirements • 10+ years of full-stack development experience, with a strong focus on Node.js and React (NextJS - Advantage). • Proven experience leading complex technical initiatives and driving meaningful change within an organization. • Thrives in a startup environment, demonstrating strong ownership, rapid execution, and a results-driven mindset. • Hands-on experience designing, building, and operating microservices-based systems in production. • Proven ability to architect, deploy, and maintain production-grade cloud infrastructure (Such as AWS/GCP). • Familiar with modern AI development tools and frameworks, with a strong eagerness to continuously learn and stay up to date with emerging technologies. • Accountability for production systems, including post-deployment performance, reliability, and stability. • Strong communication and collaboration skills, with the ability to work effectively across teams. • Skier or snowboarder - always a plus.

We’re looking for a Full-Stack Engineer who’s passionate about building polished, data-rich user experiences. You’ll work across the stack — from backend logic and APIs to modern, responsive frontends that make complex insights intuitive. What You’ll Do Build and maintain end-to-end product features across backend and frontend Work with design and product to create clear, impactful visualizations Integrate APIs and optimize performance across the stack Ensure scalability, maintainability, and clean, high-quality code Participate in architectural discussions and product shaping What We’re Looking For 5+ years of full-stack development experience Proficiency in Django/Python and SQL Experience with modern frontend frameworks (React, Vue, or similar) Understanding of cloud infrastructure (AWS, GCP) Strong attention to UX and a passion for delivering great products Why Join Us? Contribute to innovative analytics products shaping developer productivity worldwide. Work with a collaborative, mission-driven team dedicated to technical excellence. Competitive salary, equity, comprehensive benefits, and career growth opportunities. Influence core architectural decisions and build infrastructure powering the future of analytics.

About the Role Milestone builds the AI engineering-intelligence platform that helps engineering organizations understand and maximize the impact of AI on software development – giving leaders clear visibility into AI adoption, spend, and quality across their teams. We're a fast-moving team of talented, ambitious people who think independently, take ownership, and love solving real problems at scale. The Role We're looking for a Senior Customer Success Manager to own the relationship with our customers from onboarding through renewal and expansion. You'll be the trusted advisor our customers rely on – leading every conversation, driving adoption of Milestone across their engineering teams, and turning new accounts into long-term partners and advocates. This is a high-ownership individual-contributor role: you'll manage a portfolio of B2B SaaS accounts end to end, and you'll define how we do Customer Success by building the playbook the rest of the function will scale on. It's an ideal fit for someone who wants real impact and a seat at the table as we grow. What You'll Do Lead client communication. Be the primary point of contact for your accounts – running clear, proactive, executive-ready conversations and acting as the voice of the customer inside Milestone. Manage relationships. Build relationships with stakeholders from engineering leaders to individual developers, understanding their goals and ensuring they get measurable value from Milestone. Drive onboarding and adoption. Own the customer journey from kickoff through go-live and beyond – delivering fast time-to-value and growing usage across teams. Own the CS playbook. Define and continuously improve our Customer Success motion: onboarding frameworks, health scoring, QBRs, and the processes that will let the function scale. Be the voice of the customer. Partner closely with Product and Engineering, bringing customer feedback and insights back to shape the roadmap. What You'll Bring 5+ years of experience in Customer Success, Account Management, or a comparable client-facing role. Proven track record in B2B SaaS, managing and growing a portfolio of accounts. Exceptional communication and relationship-building skills – comfortable leading conversations with both technical and executive stakeholders. A track record of driving onboarding, adoption, and retention, with the data instincts to back it up. Strong technical orientation and ability to have conversations with senior R&D management Fluent English; fluent Hebrew is an advantage. Nice to Have Familiarity with the software development lifecycle and how engineering teams work. Experience standing up or scaling a Customer Success function.

Join Ovalix and Help Secure the AI Era We're building the platform that gives enterprises visibility, governance, and protection across their AI ecosystem, from public GenAI tools and homegrown apps to coding assistants and autonomous AI agents. We're looking for people who want to solve real enterprise AI security challenges and move fast with a friendly, focused team. Responsibilities Own our backend end-to-end — from architecture to production — on a Python, AWS, and Kubernetes stack that secures how organizations use AI. Small senior team, real ownership, fast shipping. Requirements 5+ years of backend development experience, with strong Python. Proven experience designing, building, and operating production services and APIs — databases, cloud (preferably AWS), Docker/Kubernetes. Ownership-driven and comfortable with the pace and ambiguity of a startup.

Join Ovalix and Help Secure the AI Era We're building the platform that gives enterprises visibility, governance, and protection across their AI ecosystem, from public GenAI tools and homegrown apps to coding assistants and autonomous AI agents. We're looking for people who want to solve real enterprise AI security challenges and move fast with a friendly, focused team. Responsibilities ML is the heart of our product: detecting and classifying risks in real-world AI traffic with NLP and LLMs. You'll own models from research to production and shape our ML direction from day one. Requirements 5+ years of hands-on DS/ML experience in Python, taking models from research to production. Strong NLP background and hands-on experience with LLMs (prompting, fine-tuning, evaluation). Solid engineering skills — comfortable owning data pipelines and inference services in production.

Lumana helps organizations turn video into action. Our AI video security platform helps customers improve safety, strengthen security, and respond faster when it matters most. Founded in 2021 and backed by leading Silicon Valley investors, we’re growing quickly. Here, you’ll think big, move fast, and own work that has a visible impact. Role Description The Software Engineer - Cloud will join a foundational and growing cloud team with meaningful ownership over critical platform areas. You will help build the software systems behind a hybrid edge-cloud architecture powering real-time video streaming, recording, and AI processing at global scale. This role sits within the team led by the Head of Cloud, which owns a broad software domain across cloud, mobile, web applications, and related clients. You’ll work on a distributed backend ecosystem that connects edge devices with cloud services and customer-facing applications, with a strong focus on performance, reliability, and low-latency user experiences. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable contributing to systems that support customers worldwide. You will have a chance to work alongside teammates across the U.S., Israel, and Europe, contributing to a platform with broad impact and increasing customer demand. Location & Travel • Hybrid Schedule: • Two days a week working from home. • Ramat Gan office, located just outside Tel Aviv and close to the train station. • Includes biweekly travel to our Caesarea office. Responsibilities • Build and evolve the core cloud platform that supports real-time video streaming, recording, and AI processing across a global customer base. • Design, develop, and maintain distributed backend services that connect edge infrastructure with cloud systems and customer-facing products. • Develop and support data pipelines for both real-time and batch processing of video and AI-related workloads. • Work on systems responsible for ingestion, storage, retrieval, and secure handling of large-scale video data in a multi-tenant environment. • Architecting multi-tenant, highly available systems across regions in a cloud environment • Collaborate closely with Edge engineers and adjacent teams to enable seamless integration across the broader platform. • Use cloud provider services and SDKs as part of day-to-day development, including work across core cloud capabilities rather than a single isolated service. • Contribute to backend development in JavaScript/Node.js and, depending on background and team fit, potentially support growing work in Go as part of the cloud stack. • Participating in code reviews, debugging, and optimizing performance across distributed systems • Help support a production environment where reliability matters, including situations that may require responsiveness outside standard hours when cloud issues have broad impact. • Our infrastructure is powered by Google Cloud. • Other duties may be assigned. We don’t do cookie-cutter. If you’ve got the grit, the drive, and the track record—especially in security or AI—we want to hear from you. Even if you don’t check every box, let’s talk. Qualifications Must Have: • 5+ years of experience in software engineering, with a focus on backend or cloud systems • A degree from a university in Computer Science, Computer Engineering, Electrical Engineering with a computing specialization, or a closely related field. • Requires hands-on experience with JavaScript / Node.js for backend systems. • Experience building backend services in cloud environments and working with cloud provider services and SDKs; GCP experience is a strong plus. • Strong understanding of distributed systems, concurrency, and scalability • Experience building APIs and microservices architectures • Familiarity with real-time systems or event-driven architectures • Excellent problem-solving and communication skills • Ability to work in a hybrid model in Israel, including at least 3 days per week in the office and collaboration across the team’s office rhythm, including periodic work from Caesarea. • Availability to contribute in an environment that may occasionally require remote support outside regular hours, including weekends or holidays when needed. Nice to Have: • Experience with video streaming pipelines or media infrastructure in the cloud • Preference for experience with streaming/data systems (e.g., Kafka, Pub/Sub, MQTT) • Knowledge of Kubernetes and orchestration systems • Solid understanding of Docker and containerization • Exposure to AI/ML pipelines or data platforms • Background in security best practices (IAM, encryption, secure APIs, zero trust) • NestJs or GO (Backend) ✍️ Lumana Hiring Philosophy We spend a lot of time building best-in-class products since we believe a highly differentiated product is easier to sell and support. We aim to provide both product & industry expertise whenever we interact with prospects and customers. We strongly believe that small teams with very talented people (and the right work environment) deliver much better performance than teams with large headcount. We hire and compensate accordingly. We value a strong sense of ownership, principled thinking over experience, and thoughtful communication. ✨ What We Offer We believe great talent deserves great support. Here’s how we invest in you: • Competitive Pay: A strong base salary that reflects your experience, impact, and market value • Equity & Upside: Own a piece of what you're building with meaningful equity in a fast-growing startup • Tools that Work for You: Get access to top-tier tech and a fully equipped workspace—both in-office and at home • Hybrid Flexibility: Enjoy a balanced schedule with two remote workdays each week after ramp-up • Product Influence: Your voice matters—your hands-on feedback directly shapes our product roadmap For Israel-Based Employees • Monthly meal allowance provided through 10bis • Travel reimbursement in accordance with Israeli law • Generous paid vacation, including carryover flexibility • Paid sick leave from day one • Keren Hishtalmut (study fund) with employer contributions • Company-provided laptop and a home-office setup allowance for new employees Equal Opportunity: Lumana considers applicants without regard to protected characteristics, in accordance with applicable law. Interview Policy: Please answer independently during interviews. Do not use real-time AI assistance, transcription, or answer prompts without prior authorization. Unauthorized use may disqualify you. Recruitment Fraud: Official hiring emails come from @lumana.ai. We never request payment or banking information during hiring. Agencies: We do not accept unsolicited agency resumes or pay fees without a signed agreement.

Lumana helps organizations turn video into action. Our AI video security platform helps customers improve safety, strengthen security, and respond faster when it matters most. Founded in 2021 and backed by leading Silicon Valley investors, we’re growing quickly. Here, you’ll think big, move fast, and own work that has a visible impact. Role Description The Senior Software Engineer, Edge Lumana's growing engineering organization and help build the software that runs on the core device layer behind our platform. This role sits within a small, highly impactful team responsible for a hybrid edge system that powers core functionality across video, security, networking, storage, and AI deployment in production environments. You'll work on a resource-conscious, distributed device architecture that spans multiple hardware targets and brings together technologies more commonly seen across both embedded and cloud systems. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable building reliable software for systems customers depend on every day. Location & Travel • Hybrid / Onsite Schedule: Based in Caesarea or Ramat Gan with 2 days a week working from home. Responsibilities • Contributing to the development of our core edge platform, designed to run across diverse hardware environments as part of a hybrid edge-cloud architecture • Developing and integrating video management capabilities, including streaming, recording, and real-time AI processing • Designing and optimizing systems for low-latency, high-performance workloads at the edge • Building secure and efficient communication pipelines between edge devices and cloud systems • Working closely with AI/ML engineers to deploy and optimize models on-device • Participating in code reviews, debugging, and performance tuning across the stack • Collaborating with a talented team of engineers, AI experts, and leadership in a fast-moving environment We don’t do cookie-cutter. If you don’t check every box but you’ve got the grit, the drive, and the track record—especially in security or AI—we encourage you to apply. Requirements • 5+ years of experience in software engineering, with a focus on systems or performance-critical applications • Strong experience with modern programming languages such as Go, Rust, or TypeScript • Proven experience with multithreaded and concurrent programming (critical for this role) • Solid understanding of Docker and containerization • Experience working with embedded systems or edge computing environments • Strong understanding of networking and distributed systems fundamentals • Experience building or working with real-time systems Nice to Have • Experience with video streaming or video pipeline development • Familiarity with storage systems and data management at the edge • Experience integrating with cloud services (e.g., AWS S3, GCP, MQTT, Kafka) • Exposure to deploying or optimizing AI/ML models on edge devices • Background in security concepts (encryption, secure communication, zero trust architectures) • Experience with hardware-aware optimization (CPU/GPU/accelerators) ✍️ Lumana Hiring Philosophy We spend a lot of time building best-in-class products since we believe a highly differentiated product is easier to sell and support. We aim to provide both product & industry expertise whenever we interact with prospects and customers. We strongly believe that small teams with very talented people (and the right work environment) deliver much better performance than teams with large headcount. We hire and compensate accordingly. We value a strong sense of ownership, principled thinking over experience, and thoughtful communication. Our Interview Process We keep it focused and respectful of your time—our typical process includes: • A 30-minute conversation with our Talent Team to learn more about you and share what we're building • A 45-minute interview with our CTO to dive into your background and experience • At-Home Assignment (3 hour) • A 90-minute technical session in office with our Team to dive into your assignment, systems thinking, and coding familiarity • A 60-minute conversation with our CTO to dive into your assignment Curious who you’d be working with? Meet the Team → ✨ What We Offer We believe great talent deserves great support. Here’s how we invest in you: • Competitive Pay: A strong base salary that reflects your experience, impact, and market value • Equity & Upside: Own a piece of what you're building with meaningful equity in a fast-growing startup • Tools that Work for You: Get access to top-tier tech and a fully equipped workspace—both in-office and at home • Hybrid Flexibility: Enjoy a balanced schedule with two remote workdays each week after ramp-up • Product Influence: Your voice matters—your hands-on feedback directly shapes our product roadmap For Israel-Based Employees • Monthly meal allowance provided through 10bis • Travel reimbursement in accordance with Israeli law • Generous paid vacation, including carryover flexibility • Paid sick leave from day one • Keren Hishtalmut (study fund) with employer contributions • Company-provided laptop and a home-office setup allowance for new employees Equal Opportunity: Lumana considers applicants without regard to protected characteristics, in accordance with applicable law. Interview Policy: Please answer independently during interviews. Do not use real-time AI assistance, transcription, or answer prompts without prior authorization. Unauthorized use may disqualify you. Recruitment Fraud: Official hiring emails come from @lumana.ai. We never request payment or banking information during hiring. Agencies: We do not accept unsolicited agency resumes or pay fees without a signed agreement.

Description Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing — real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk. Our data lives in silos — Postgres, Snowflake, product usage, customer interactions, billing, infrastructure costs. Each one tells part of the story. Nobody sees the whole picture. When leadership asks “why did our cloud costs jump 30%?” or “which customers are actually driving growth?”, we spend days stitching together an answer that should take an hour. That gap slows down the decisions that matter most. We’re hiring our first Data Lead to close it. This is an engineer who thinks like an operator: you’ll build the foundation — architecture, pipelines, models — and then use it to connect product behavior, customer outcomes and business performance into one view that drives strategy. No inherited warehouse, no dashboard graveyard, no analyst backlog. A blank page, and a company that needs you to fill it. The Data Lead reports to our Head of Product, is based in Tel Aviv (hybrid), and works daily with Product, Engineering, Operations (GTM) and Finance. What You’ll Own The full data lifecycle — from raw data and modeling to insight, recommendation and measurable impact. You build the infrastructure, but the job is the decisions it enables. You go from data to analysis to action, and you own the outcome. • Data architecture — design and evolve the stack connecting Postgres, Snowflake, product usage, customer interaction, billing and infrastructure cost data into one source of truth • Pipelines and models — build and maintain production-grade ETL pipelines and clean, reusable data models in Snowflake and dbt • Data quality — set up checks and monitoring so nobody has to wonder whether a number is right • Product KPIs — define the metrics that matter across product, operations and the business, with one shared definition per metric • Strategic analysis — connect product usage, customer behavior, revenue and costs to answer the questions leadership is actually asking: where we grow, where we leak margin, what to build next • Product enablement — give Product the usage, adoption and retention insight it needs to prioritize, and make our own AI measurable: model accuracy, false positives, customer outcomes • Business operations enablement — give GTM and Finance self-serve dashboards, alerting and analysis on pipeline, revenue, unit economics and cloud costs • Impact — turn findings into initiatives with Product, Operations, Engineering and Finance, then measure whether they worked • AI-driven execution — use AI tools to write, review and debug SQL and dbt faster, so your time goes into judgment, not boilerplate Requirements You’re a fit if… You bring a data engineer’s foundation, an analyst’s business instinct, and the judgment to know when a simple query beats a sophisticated pipeline. • You have 5+ years of hands-on experience in data engineering or analytics engineering, with real exposure to business analytics • Your SQL is strong — this is a must — and you have deep experience with relational databases • You’ve built production-grade ETL pipelines and data models, not one-off scripts — ideally on Snowflake and dbt, with Python where it’s needed • You’ve built BI dashboards (Looker, Tableau, Omni or similar) and defined KPIs people actually trust • You connect the dots across domains — product usage to revenue, customer behavior to cost — and turn to an ambiguous question like “why did costs go up?” into a validated answer and a recommendation • You explain complex analysis clearly to engineers and executives, and you use it to move decisions, not just inform them • You’re skeptical of numbers that don’t add up, and won’t ship a dashboard you don’t trust yourself • You’ve been the first or only data person somewhere before, or you’re ready to be • Bonus: experience with product analytics or customer interaction data (calls, chats, messages), early-stage high-growth startups, or AI-driven products You’re probably not a fit if… • You want a fully built warehouse and a backlog of tickets waiting for you • You’d rather build the perfect pipeline than answer the business question in front of you • You’re a pure analyst who hands off the moment data needs engineering — or a pure engineer who stops at the pipeline • You need someone else to tell you which metrics matter • You see BI as a reporting function, not a decision-making one • You’re uncomfortable being the only data person in the room What Success Looks Like Day 30 — Mapped every data source across product, customer interactions, billing and infrastructure, and shipped a data quality audit flagging the biggest gaps and inconsistencies. Day 60 — Shipped the core data models and the first set of high-value product and business dashboards, with KPI definitions every team has signed off on. Day 90 — Delivered a data roadmap, moved at least one core metric from disputed to trusted, and brought leadership a data-driven recommendation that changed a decision. Compensation & Benefits • Competitive salary aligned with industry standards • Meaningful equity in a high-growth compliance AI company • Direct access to leadership — no bureaucracy between you and impact • Flexible, output-first culture — we care what you ship, not when you log on • Work on problems that matter in an industry that’s ready to change How to Apply & Important Notice Do you think that this is for you? apply directly or send your resume to [email protected] Equal Opportunity Employment Sedric.Ai is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or protected veteran status. AI & Recording Disclosure: To streamline our hiring process and ensure a thorough review, Sedric.Ai utilizes AI-powered tools to evaluate resumes, and our interviews may be recorded or assisted by an AI note-taker. By submitting your application, you acknowledge and consent to the use of these technologies during the recruitment process. If you prefer to opt out of AI resume screening or interview recordings, please notify our recruiting team at [Insert Contact Email/Link] to request a manual review or unrecorded interview.

Description You'll design the architecture that lets AI run compliance at scale. Sedric is the AI compliance platform for financial services. Our agentic AI automates oversight across customer communications and marketing — real-time guardrails on calls, pre-approval review on every marketing asset, and post-publication monitoring across partners and channels. Because every customer gets a dedicated compliance model, accuracy goes up, false positives go down, and compliance teams move faster without taking on more risk. AI isn’t a feature at Sedric — it’s the product. Every agent, LLM flow, and retrieval pipeline that runs a customer’s compliance program runs on backend systems someone has to design, build, and keep fast, accurate, and cost-efficient at scale. We’re looking for a hands-on AI engineer who designs those systems and writes the code. You’ll own the architecture of our AI backend end to end, ship it to production, monitor how it performs with real customers, and raise the bar for the engineers around you through code reviews, design reviews, and mentoring. The mission? We're at an inflection point. Enterprise financial services clients are signing on, and they need more than a product — they need a platform. That means a unified LLM strategy, an architecture that scales, and an R&D org that moves with the same urgency as the business. This role reports to the AI team Dev Team Lead and is based in Tel Aviv (hybrid model). This is a hands-on engineering role. It’s not a research position and not a people-management role. You’ll spend most of your time designing and building production systems. What You’ll Own You'll own Sedric's AI reference architecture end to end — the patterns, standards, and platform capabilities that every AI initiative across engineering builds on. You'll lead architecture reviews, set the technology roadmap, and make the call on what we adopt, pilot, or retire. • Design and build the backend architecture for Sedric’s AI agents, LLM pipelines, and retrieval systems, and write a large share of the production code yourself • Take AI capabilities from prototype to production in a multi-tenant SaaS environment • Optimize for scale and cost: model selection, prompt and token efficiency, caching, batching, latency, and infrastructure spend • Build monitoring and evaluation for AI quality in production (accuracy, false positives, drift, cost per customer) and act on what it shows • Set engineering standards for AI development and mentor engineers through pairing, code reviews, and design reviews • Bring new AI techniques into the product when they solve a real customer problem, and prove it in production Requirements You're a fit if… • You have 5+ years of ML/AI architecture experience in a SaaS company • 3+ Backend development experience • You bring both the technical depth and the leadership range this role demands. • You've built agentic systems with tool use, planning, and multi-step reasoning in production, not just in a notebook • You've set up AI governance and evaluation harnesses from scratch • You have proven, hands-on experience with AI in production systems • You can take a project from concept to shipped and interface with stakeholders the whole way • You hold a relevant degree; an advanced degree in CS, ML, Statistics, or a related field is a plus • You're comfortable in front of customers and executives, translating technical tradeoffs into business terms You're probably not a fit if… • You want to execute against someone else's architecture, not design your own • You'd rather avoid customer or stakeholder conversations than lead them • You think about the technology and skip the business context it lives in • You need long runway before shipping — this role moves fast and mixes design with execution • You want a playbook handed to you rather than writing the first one What Success Looks Like Your first 90 days goals: • Day 30 — You understand the AI architecture of the platform end to end — the systems, the constraints, the decisions already made. • Day 60 — You've shipped LLM-driven improvements and optimized existing flows for latency and reliability. • Day 90 — You own AI design across the platform — teams come to you before they build, not after. Compensation & Benefits • Competitive salary aligned with industry standards • Meaningful equity in a high-growth compliance AI company • Direct access to leadership — no bureaucracy between you and impact • Flexible, output-first culture — we care what you ship, not when you log on • Work on problems that matter in an industry that’s ready to change How to Apply & Important Notice Do you think that this is for you? apply directly or send your resume to [email protected]. Equal Opportunity Employment Sedric.Ai is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or protected veteran status. AI & Recording Disclosure: To streamline our hiring process and ensure a thorough review, Sedric.Ai utilizes AI-powered tools to evaluate resumes, and our interviews may be recorded or assisted by an AI note-taker. By submitting your application, you acknowledge and consent to the use of these technologies during the recruitment process. If you prefer to opt out of AI resume screening or interview recordings, please notify our recruiting team at [Insert Contact Email/Link] to request a manual review or unrecorded interview.