דרושים » מוצר » Senior Product Manager

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

In your first year, we expect you to set a clear quality bar for our search products that the team builds against, have a real influence on where our index goes next, and bring us a point of view on where search infrastructure is heading.

This is a hands-on senior IC role with real ownership, reporting to the Director of Product. You will work day to day with our search engineering and research teams, with the evaluation team, and with customer success, who bring us quality feedback from real accounts every week. Our search engineers are deeply experienced in large-scale retrieval, and the product team is small, so you will argue your case directly with the people building it. That only works if you have built at this scale yourself.

Your responsibilities will include:

Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships. Our evaluation team owns the measurement, and you work closely with them on what to measure and why.
Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible.
Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet.
Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap.
Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter.
Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities.
Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry.

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.

Were looking for a Product Management Team Leader to lead our Marketplace product team - the engine behind the on-demand revolution in transportation and new verticals across all our markets. This is a player-coach role: youll manage and grow a team of product managers while owning a core product area hands-on, taking it from vision to reality.
The Marketplace team is responsible for:
Building and maintaining the platform for drivers and couriers to work with us
Developing dynamic, ML-driven marketplace solutions for matching, pricing, earnings, and broader optimisation.
Integrating external supply partners (other transportation companies)
And much more. Our focus is data-driven solutions that grow and optimise the marketplace while enhancing driver experience and earnings.
What youll do:
Lead a team of product managers - set direction, coach and develop them, and raise the bar on product craft across the Marketplace group.
Own a product roadmap end-to-end - take a core marketplace area from vision to execution and delivery, while staying hands-on with the hardest problems yourself.
Generate comprehensive insights through data, market, and user research to guide product vision, with a specific focus on marketplace dynamics in ride-hailing and delivery.
Lead products and features throughout their entire lifecycle - from concept and detailed requirements to execution and successful rollout - emphasising marketplace efficiency and a great user experience for both riders and suppliers.
Collaborate closely with Engineering, Data Analytics, Customer Experience, Marketing, and Operations to build best-in-class products and ensure successful market rollout in competitive ride-hailing and delivery markets.
Define metrics, analyse feature performance through qualitative and quantitative analysis, and iterate until objectives are met - with a keen eye on marketplace KPIs.
Understand our strategic position vs. the competition and work day in, day out to improve it.
Actively contribute to the overall product roadmap, bringing a deep understanding of marketplace operations and the competitive landscape.
Champion our vision, priorities, challenges, and opportunities with teams across our regions.
Leverage AI tools to accelerate product discovery, requirements definition, analysis, and day-to-day product execution.

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.

As a Senior Product Manager at our company, you will sit at the intersection of data science, engineering, and product, translating complex ML and causal inference capabilities into a product our customers love. You will work hand-in-hand with our data science and the engineering teams to shape how models are designed, evaluated, and delivered into production.
Own a significant part of the product roadmap for our value measurement platform, with a focus on data science driven features (causal inference, incrementality modeling, attribution, and media mix optimization) and customer onboarding.
Partner closely with data scientists from problem framing through experimentation, model validation, and productization, youll be expected to critically read model specs, challenge assumptions, and help prioritize research directions based on customer impact
Define success metrics and evaluation frameworks for ML models alongside the DS team, balancing statistical rigor with business usability
Own the UX of data-heavy features: collaborate with designers and data scientists to turn complex model outputs into intuitive user flows, clear visualizations, and dashboards that customers can actually act on
Design and prioritize dashboards, reports, and in-product analytics, defining what metrics to surface, how to visualize uncertainty and causal results, and how to make insights discoverable without overwhelming the user
Run user research and customer interviews to validate both the analytical value and the usability of features, and onboarding integration; translate findings into concrete design and product improvements
Translate customer problems into well-scoped technical and design requirements; translate model outputs and methodology into clear value propositions for customers
Prepare the implementation of features and support engineering, design, and DS teams through design reviews, QA, and launch, including writing acceptance criteria that account for model behavior, edge cases, data quality, and UX states (empty, loading, partial data, error)
Ensure data integrity through testing, acceptance tests, and ongoing monitoring across our diverse range of data products
Work with clients and internal stakeholders to understand business goals, identify relevant KPIs, and feed those insights back into the product, modeling, and dashboarding roadmap
Oversee end-to-end data flow and engineering processes, collaborating with ML, data, and engineering teams to ensure efficient and accurate operation during critical phases like client onboarding and daily production runs
Strategically plan for missing or imperfect data, designing product behavior and UX for new client onboarding, process failures, client-specific configurations, long-term seasonality, and external signals/features
Drive experimentation: help design A/B tests, back-tests, and validation studies to assess the impact of new models, features, and UX changes.

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.

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io Artlist's core Gen AI product puts state-of-the-art generative models for image, video, and voiceover directly in creators' hands, giving them total creative control over every stage of production. It is our flagship offering and a core pillar of our innovation strategy. As a Product Builder on our core Gen AI product, you will define and ship the future of video production for millions of creators interacting with generative AI. A Product Builder is not a traditional product manager who hands off requirements; a Product Builder makes. You take end-to-end ownership of a defined product area and turn ideas into shipped product, working hands-on inside a small, fast-moving pod. Your core deliverable is the Definition of Ready (DoR): a working prototype, the data events and success metrics to instrument, and a tight, operational spec that engineers and AI agents can build from directly. This replaces the old cycle of long PRDs and Figma wireframes recreated by hand. You decide what to build, how it will behave, and how we will know it worked, before a line of code is written. This role requires translating evolving AI model capabilities into intuitive, high-quality user experiences. You will balance user needs, technical constraints, and business goals to scale and evolve the product's capabilities, and drive measurable impact on key engagement and retention metrics.

We are looking for an experienced Senior Product Manager to own Torq's Builder Experience domain - a core part of how security teams design, build, and deploy automations. As AI fundamentally changes how security operations work, this role sits at the center of that shift.

This role requires genuine product craft - the ability to see what security teams actually struggle with and shape tools that feel intuitive and powerful - alongside frontier AI product thinking: defining how a conversational AI should behave, where its limits are, how it earns trust, and how it sharpens with every interaction.

What Youll Be Doing

Own the end-to-end builder experience - from understanding where security teams get stuck to shipping flows that feel intuitive and powerful
Care about how the product looks and feels. Partner closely with Design to turn ambiguity into clear, usable flows
Drive our conversational AI product forward as a first-class part of the platform
Own how we evaluate the AI experience: define what "good" means, how we measure quality, and how we improve it continuously
Perform customer research and hands-on deep-dives to understand how people build and where they get stuck
Analyze usage patterns and feedback to spot signal and translate it into actionable engineering requirements
Make critical decisions on trade-offs across experience, capability, and technical design to meet business objectives
Work closely with engineering to define, develop, and launch new capabilities

You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue.

The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another.

In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next.

This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market.

Your responsibilities will include:

Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it.
Shape the product surface on top of the data, so a customer gets something built for their job.
Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in.
Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build.
Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it.
Work with customer success to learn what customers ask us for and what makes them leave.
Partner with the search owner on how results should be ranked and shaped for each use case.