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Required Product Manager - AI Platform
About the role:
We've taken a platform-first, builder mindset from day one, developing the modular building blocks we call pillars. Our users are exceptional engineers who continuously build creative and unexpected solutions with our platform. Being a PM here means embracing that creative tension while staying relentlessly focused on where the platform needs to go next.
As a PM, you'll own a pillar end-to-end alongside your team of engineers and designers. You'll build and evolve it as a standalone value stream and as a connected part of the broader platform. PMs are full picture owners: they shape the story of their pillar from market positioning to technical enablement, defining success not just by what gets shipped, but by the measurable impact it delivers.
What you'll do:
Define what to build and why. Go deep with customers, analyze usage data, and research the competitive landscape. Bring that view to your team, build a sharp perspective on what's worth building next, and communicate the reasoning to engineering, leadership, and the market.
Shape experiences engineers choose to use. Our developer experience spans the entire ecosystem across the UI, API, CLI, and daily chat and coding interfaces. Work closely with design and engineering to make each surface deliberate, from the first wireframe through launch.
Drive cross-functional impact. PMs don't hand off and wait. You work across engineering, design, marketing, sales, and CS throughout the full product cycle, accountable for picking the right problem, the solution built, and whether the launch lands.
Build for agents and developers. We are the context and action layer for both. Shape your domain so agents can act on it reliably and developers can navigate it intuitively. Understand the tradeoffs in how data, APIs, and interfaces serve both. Separate the signal from the hype, and use that view to sharpen your roadmap.
Measure what matters. Define success metrics before you ship. Track adoption, analyze what's landing, and iterate until the outcome is real.

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.

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

Were looking for a Senior Product Designer to own the design of how analysts, investigators, and decision-makers interact with complex AI systems in high-stakes, data-dense environments. Youll be the first designer in the Sovereign AI division - which means youll defining standards, update or rebuild the design system, and becoming the teams authority on how users experience our products.
Over time, youll develop deep domain expertise in the investigative and analytical workflows our systems support - and that expertise will make you a critical voice in product and technical decisions. Youll work at the intersection of complex data, AI, and national missions - where every design decision carries real weight. We need someone who takes full ownership, moves with urgency, and proactivly.
The Responsibilities:
Own the design direction - Lead the design vision for the divisions products. Youre not executing someone elses spec - youre shaping what these products look and feel like from the ground up.
Become the domain expert - Develop deep fluency in the investigative, analytical, and decision-support workflows our users rely on. Bring that understanding into every design decision and be the voice of the user in product discussions.
Design for high-stakes environments - Create intuitive, user-centered experiences for mission-critical, AI-driven analytical systems where explainability, auditability, and trust are non-negotiable.
Translate complexity into clarity - Turn complex investigative and analytical workflows into clear, structured product experiences that expert users can rely on.
Build the design foundation - Establish and evolve the design system and design standards for the entire Sovereign AI division. Set the bar for quality and consistency as the team grows.
Collaborate across disciplines - Work closely with product managers, engineers, data scientists, and business stakeholders.
Drive the full lifecycle - From concept and prototyping through execution and postdeployment iteration - you own it end-to-end and push for continuous improvement.
Communicate with impact - Present design rationale and trade-offs clearly to senior stakeholders and cross-functional partners.

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.

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.

We're looking for a Product Manager to own the operational efficiency aspect of the platform end to end. This is both a strategy and an execution role: you'll decide what execution responsibilities the product would expand to and be in the details with engineering and design shipping it. The hard part isn't building a workflow - it's knowing which work a customer will genuinely hand to an agent, and what has to be true before they will.
What You'll Do:
Define human and agent interaction models: Shape how users collaborate with AI agents, from user initiated queries and agent driven outreach to seamless side by side execution.
Lead agentic ticket resolution and IAM automation: Own the end to end product strategy for identity tasks, including provisioning and deprovisioning, entitlement changes, plus joiner, mover, and leaver workflows.
Own the agentic execution layer: Spec the core product rails for executing actions in customer environments, including human approval flows, risk controls, and confidence building mechanisms.
Drive field to roadmap feedback loops: Partner closely with customer facing and POC teams to translate real world edge cases and customer insights into scalable roadmap features.

We're looking for a Product Manager to own the data and knowledge component of the platform end to end. This is both a strategy and an execution role: you'll decide what execution responsibilities the product would expand to and be in the details with engineering and design shipping it. The hard part isn't building a workflow - it's knowing which work a customer will genuinely hand to an agent, and what has to be true before they will.
What You'll Do:
Architect the Data Fabric: Own the data layer, defining schemas and cross relationships across IAM, network, and security domains to power agent capabilities.
Lead the Knowledge Layer: Own how policies and operating procedures are captured, structured, and updated so agents apply them reliably.
Build the Customer Experience: Partner with design and engineering to build user interfaces for data exploration, search, reporting, and connection health.
Scale Data Fabric and Knowledge as a Platform: Own the internal interface between data layers and other product components to feed agent visibility and decision making.
Drive Field to Roadmap Feedback Loops: Partner closely with customer facing and POC teams to turn real world field signals into scalable product features.

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.

Were looking for an AI Product Manager to join our product team and help shape the next generation of AI developer tools. This is a high-impact role for someone who thrives at the intersection of technical depth, user empathy, and product thinking. This role is ideal for someone who has worked on technical or developer-facing products, is deeply customer-oriented, and is comfortable rolling up their sleeves when needed.
Own the product lifecycle for one or more product areas - from ideation and requirements through delivery and go-to-market enablement
Spend significant time with customers: conducting discovery interviews, understanding pain points firsthand, and translating insights into product decisions
Work closely with R&D teams on a daily basis - participating in technical discussions, helping shape architecture trade-offs, and ensuring the team has clear, well-defined requirements
Enable the sales and customer success teams with the knowledge, materials, and positioning they need to land deals and drive adoption
Define and validate product opportunities through customer research, data analysis, and competitive intelligence
Translate complex technical concepts into clear product requirements and crisp user stories
Drive cross-functional alignment across engineering, design, sales, and customer success to ensure launches land well
Establish and track success metrics, running experiments and iterating based on evidence
Be the voice of the developer - obsessively understanding how developers work, what they struggle with, and where AI can genuinely help.