דרושים » מוצר » Senior Product Hybrid Engineer

We are looking for a Data Products Engineer to take full ownership of our companys internal product suite - the full-stack applications, AI agent tools, and automation pipelines that power teams across the entire company every day. You will step into an established ecosystem and take the reins. Your mission is to maintain, evolve, and build the next generation of these internal tools so every department can move faster and make smarter, data-driven decisions.
Reporting directly to the VP of CS & Data, this is a high-autonomy, tech-lead role. You wont just write code; you will make architectural decisions, solve complex domain challenges with smart software, and shape how the entire company interacts with data.
How will your day-to-day look?
Own the Internal Product Suite: Lead the development of our core full-stack applications. You will build and scale the central platforms and dashboards that give Product, CS, Sales, and executive leadership visibility into product usage, account health, business performance and more.
Advance the Internal AI Layer: Design, deploy, and refine custom agentic AI workflows - enabling teams across the organization to query complex B2B and product data naturally and conversationally.
Engineer Smart Automations: Architect workflow automations and custom APIs that pipe downstream data directly into the operational tools our teams use every day.
Bridge Data and Software: Partner seamlessly with Data Ops and Data Analysts to transform raw data models into highly usable, intuitive user interfaces and automated actions.
Run the Infrastructure: Own the end-to-end DevOps lifecycle for our internal applications, managing deployment, containerization, observability, and CI/CD pipelines.
Drive Technical Strategy: Act as the technical anchor for internal tools. You will translate high-level product and business challenges from company leaders into shipped, reliable software.

We are looking for a Principal Product Manager to join our team. This is a hybrid capacity in our Israel/Tel Aviv Office role, reporting to the Senior Director, Product Management in the Security Operations Platform Product Management department. Join our data fabric and secops platform team, work in the dashboards, reporting and measurement product areas. Lead the product effort for platform reporting and dashboarding, as well as advanced semantic capabilities such as calculated dimensions, measurements, aggregations and custom KPI capabilities, enabling best-in-market product capabilities and UX that will be used by our security operations applications offerings and personas.

What youll do (Role Expectations)

Lead product discovery by deeply understanding customer problems, business goals, and operational constraints across reporting and dashboarding products that serve multiple security operations use cases

Define the product vision and roadmap for AI-powered, simple platform reporting and dashboarding capabilities from discovery through planning, UX, documentation, customer validation, and launch

Work day-to-day with engineering to prioritize backlogs, clarify scope, and ensure high-quality execution

Collaborate with applications product managers, and customers to facilitate feedback and success across multiple personas and use cases, partnering with go-to-market, sales, and customer success teams to support pilots, launches, and customer adoption

Measure product success using adoption, usage, customer value, and business outcome metrics

Required Software Engineer
We are leading the next era of trust and loyalty in eCommerce. With AI-powered Reviews and Loyalty solutions, we help brands turn browsers into customers and customers into advocates. Through deep integrations across the eCommerce ecosystem and the trust of over 30,000 global brands, we deliver seamless omnichannel experiences that increase conversion, strengthen customer relationships, and drive profitable, long-term growth.
As a Software Engineer, you are a core partner in the product team, shaping not just how we build, but what we build. Your mission is to solve meaningful customer problems, turn ideas into production-ready software, and leverage modern AI-native development practices to amplify your impact as an engineer.
You will join a culture of radical end-to-end ownership, where teams deploy to production dozens of times a day. Leveraging a modern technology stack alongside AI-powered development tools, you will build, experiment, and iterate quickly-turning complex technical challenges into products that deliver real customer value.
Key Responsibilities
AI-Native Software Development: AI is part of how we build software. You will leverage modern AI tools and agentic workflows as part of your daily development process to accelerate implementation, improve code quality, automate repetitive work, and explore technical solutions faster-while applying strong engineering judgment every step of the way.
Builder Mentality: You dont wait for perfect specifications. You take ideas, challenge assumptions, build prototypes when needed, iterate quickly, and turn ambiguous problems into elegant, production-ready solutions.
End-to-End Ownership: Own your features from idea to production. You build it, you ship it, you monitor it, and continuously improve it-taking full ownership of both customer impact and technical quality.
Product Partnership: Partner closely with Product Managers, Designers, and fellow engineers throughout discovery and delivery. Your technical insights will help shape product decisions before a single line of code is written.
What You Bring
Your Mindset:
A Builder at Heart: You love creating new things, experimenting with ideas, and turning ambiguity into working software. You proactively identify opportunities, take initiative, and enjoy solving problems that dont come with a predefined solution.
Product Partner: You care as much about the Why (Business Value) as the How (Implementation). You understand customer problems, challenge assumptions, and make thoughtful technical decisions that maximize impact.
AI-Native Engineer: You view AI as a fundamental part of modern software development. You know how to combine AI-powered tools with strong engineering fundamentals to build better software, faster.

We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.

This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.

The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.

Youre welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include:

Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.

Working in Product means making bold decisions with the data you have. You're the type that always asks, “Is there a better way?” From product managers to designers to researchers, the people who thrive here are strategic by nature, curious by default, and comfortable sailing without a full map. So if you challenge assumptions and know how to bring multiple stakeholders together, the Fiverr Product team might be your place.

What am I going to do?:
Make an impact: Drive outcomes across the Fiverr marketplace for clients and freelancers alike — but expect the specific area you own to shift. Where you focus is set by our strategic Bets, and those change as the Bets change. Lead a multidisciplinary team: Collaborate with engineers, designers, and data scientists to drive product delivery and innovation. Turn data into decisions: Define how we collect, validate, and use the signals that power the product — translating data into reliable inputs for better decision-making. Drive the end-to-end user experience: Continuously improve the surfaces and flows that users rely on, from onboarding to ongoing engagement. Develop and execute roadmaps: Create strategic product roadmaps and lead their execution, balancing short-term delivery with long-term platform thinking. Collaborate across teams: Work with stakeholders across the organization to align on a shared direction and amplify impact. How we actually work: Fiverr's product org runs on strategic Bets — leadership sets a small number of company-wide Bets each half, derived directly from our OKRs, and most of our capacity flows there. Teams get assigned to whatever Bet most needs them next, not necessarily their "home" domain. That means the traditional model — a fixed squad with permanent mission and task ownership — doesn't really apply here. Scope, team composition, and priorities move as the Bets move, sometimes mid-cycle. You're joining a team and a mission-driven org, not a fixed job description, and the right person for this role reads that as the exciting part, not the risky part.

Equal opportunities:
At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly.

About the role You own the product end to end: the problem, the prototype, the spec, the release, the experiment, and the call to keep it, change it, or kill it. Which parts of the product you're focused on follows the opportunities we decide to invest in, and you'll hold several of them at once. The craft is the same in all of them. Some of what we build is AI itself: an AI co-founder for business owners, and an AI-led signup flow. Some of it is ordinary product work: checkout, pricing, compliance filings, a dashboard. In both cases, AI is how the job gets done here, not a type of project you get assigned. You build the prototype yourself. Our PMs build working prototypes in AI coding tools such as Lovable and Claude Code - alone or with a designer, depending on the project. The prototype goes to engineering as the spec, with real components, real states and real copy. Not a wireframe and a document. You move fast. You have an engineering team building against your decisions, and you are responsible for what they spend their time on. We release several times a day, nothing waits for a quarterly plan, and what you sketch on Monday can be live by Wednesday. You run your own experiments. Design the TEST, declare the primary metric before you open it, set exposure, get it instrumented with the data team, read it, and call it. Tests run in Statsig, with results in Heap and Tableau, though often we skip the dashboard and have an AI agent read the TEST straight out of the warehouse. Closing your own TEST on control is part of the job. You get your own answers. The same habit applies to every question, not only to tests. Instead of filing a request and waiting, you go and find out. You are expected to notice when a number is wrong, and to say so before a decision gets made on it. You own the consequences. When a price renders wrong or a payment method stops appearing on one browser, you are the person who works out how many customers it reached, decides what we do for them, and makes sure it cannot happen the same way twice. You hold the stakeholders. Requests reach you from other product teams, BizDev, Marketing, Finance, Legal, CX and data, and they will not agree on what matters most. You hear them out, decide what your team takes on and in what order, and tell the people who did not get what they asked for why not. They also need to know what is changing, what it means for their work, and when it lands, before it lands.

We are looking for a Head of Product, where you will be the "CEO" of Fullpath's CRM business unit - one of the most strategically critical and newest additions to our product portfolio. You will have full end-to-end ownership of the domain's strategy, product roadmap, and engineering execution, leading an integrated team of Product Managers, Engineering Managers, and Developers. The CRM domain sits at the heart of how automotive dealerships manage their customer relationships and sales pipeline. It is a technically complex, data-intensive product: a per-dealer, multi-tenant system deeply integrated with dealership back-office systems and third-party data sources, with a rapidly growing AI and agentic layer. Your mission is to make this domain a category-defining product.
Your goal is to drive meaningful business outcomes by leading both product strategy and execution, breaking down the wall between product and engineering, and ensuring the team stays aligned, focused, and moving fast toward impact.
This role will be based out of Jerusalem or Tel-Aviv and report to the VP of Product & Development
What you will be responsible for:
Strategic Leadership: Define the vision and long-term strategy for the CRM domain in alignment with the company's overall goals - including its evolving AI roadmap.
Product-Engineering Integration: Lead an integrated organization of product managers and engineers. Foster a culture where "the business outcome is the mission," and technical excellence serves business value.
End-to-End Delivery: Own the full lifecycle of your domain - from discovery and ideation to architecture, development, and production.
Business Impact: Define, track, and be accountable for the domain's KPIs (revenue, retention, dealer engagement, churn).
People Management: Manage, mentor and grow high-performing Product and Engineering managers. Build a culture that prioritizes ownership and accountability.
Operational Excellence: Optimize team methodologies to sustain high delivery velocity without accumulating technical debt.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Full Stack Engineer, you will build the technology powering our companys Operation Center - the real-time heartbeat of our global service. This is a rare opportunity to own mission-critical systems that shape the daily lives of hundreds of thousands of riders. You will have full-stack ownership, working with a sophisticated stack and a team that values high-quality craft. We are looking for a high-agency engineer who leverages modern AI to outpace traditional workflows and is ready to grow into a formal leadership role.
About the Role:
End-to-End Ownership: Lead the development of our companys real-time operation center, managing complex routing, driver dispatching, and mass-scale user communication.
Full-Stack Architecture: Architect and ship features across our stack (React/TypeScript/Redux and Python microservices) with an emphasis on performance and scalability.
AI-Augmented Development: Integrate AI-driven tools (Copilot, Cursor, LLM-based testing/refactoring) into your daily workflow to increase velocity and maintain elite code quality.
Future Leadership: Mentor junior/mid-level engineers, drive technical roadmaps, and set the standard for engineering excellence within the team.
Strategic Collaboration: Work directly with Product and Design to translate ambiguous operational challenges into elegant, scalable technical solutions.

We are seeking an agile, hands-on R&D Lead who excels at rapid learning and making smart, pragmatic decisions to drive our core data engineering squad in Tel Aviv. We care less about years spent in formal management or having a decades-long resume, and much more about your ability to take extreme ownership, learn new paradigms on the fly, and keep the team moving forward.


In this role, you will help architect, write, and deploy the Python-based infrastructure that processes millions of records daily and serves them at sub-second latency to autonomous AI systems. You will guide the design of high-scale data pipelines, integrate semantic search paradigms, and build out our agentic connectivity layer. If you are a proactive decision-maker who thrives on optimizing complex systems and wants to build the infrastructure that LLMs rely on to understand the real world, this is your next role.


Key responsibilities
Execution & Decisive Leadership: Lead the technical delivery by setting the pace and making pragmatic architectural choices that keep the team moving forward. You prioritize shipping and iterating over analysis paralysis.
Hands-On Development (Python): Roll up your sleeves and remain technical. Write clean, concurrent, and scalable Python code to handle data ingestion, transformation, and serving pipelines.
Continuous Learning & Tech Agility: Work across a polyglot environment. You dont need to know every tool on day one, but you must be eager to rapidly evaluate, learn, and adopt the optimal databases, message brokers, and execution frameworks to manage technical debt.
Agentic Infrastructure & MCP: Deploy systems that allow autonomous agents to seamlessly query our datasets. You will help build and scale our Model Context Protocol (MCP) servers, translating LLM intents into highly optimized database queries.
High-Scale Data Pipelines: Oversee an end-to-end data architecture capable of supporting continuous ingestion, error cleansing, and near-real-time refreshing of a 1B+ record database while enforcing GDPR and CCPA compliance.
Search & Retrieval Integration: Design and optimize advanced search capabilities, leveraging vector databases, embeddings, and hybrid search techniques to ensure absolute precision when AI models query our data.

We're looking for a Sr. Staff Product Manager who has built products from the ground up. You'll lead new AI-powered ventures within, owning multiple bets at once - some need to be built from scratch, others are live and need to find product-market fit. Your job is to cut through ambiguity to create product clarity, build the tools and systems that let your team operate at speed, and work cross-functionally to drive each product from ideation through PMF and into growth.
Here is what were looking for in a candidate:
Operates in ambiguity and adapts to change When the problem isn't fully defined, you don't wait - you make your assumptions explicit, pressure-test them fast, and move. You catch mistakes early, adjust, and always have a point of view on what's shifting in the market and why it matters.
Goal-setting and defining success You define what winning looks like before work starts - in concrete terms, not vibes. You push back when goals are fuzzy and hold the line when "done" starts quietly moving.
Tradeoff judgment You make hard calls and own them. You know you can't have everything, and you're clear about what you're trading away and why.
AI-driven velocity You build tools and workflows that embed your thinking - your goals, your logic, your standards - so your team can make good decisions without waiting on you. The bottleneck isn't you. That's the point.
Commercial instincts You care about the business, not just the product. You think in pricing, margins, and whether what you're building makes economic sense - not just whether users love it.
Builder energy You'd rather put something rough in front of a user than write another page of specs.
Customer obsession You talk to customers constantly - not as a ritual, but because you actually want to know. You can tell a real pattern from a loud opinion.
High ownership If it's your problem, you solve it.