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Описание: |
We’re building high-assurance, multi-agent AI products that our customers can trust with real work and real data. As AI Product Owner (AIPO), you own the definition of value for your domain: you decide what we build and why, and ensure every behaviour we ship traces back to a validated user need, a business KPI, and a clearly documented specification in our contract-driven delivery model.
Reporting to the [Head of AI Product / CPO], you’ll work closely with AI Architecture, Engineering, Platform & Security, and Verification to turn ideas into safe, reliable, and measurable outcomes.
Key responsibilities
* Own the Base Specification for your product domain: goals, user stories, acceptance & exception criteria, non-functional requirements (NFRs), and KPIs.
* Build and evolve the Value Traceability Matrix that links user stories → Contract endpoints / events → tests → KPIs, ensuring line-of-sight from requirements to code and outcomes.
* Prioritise and manage epics, increments, and backlogs for multi-agent AI features, balancing user value, risk, and technical constraints.
* Shape agentic workflows: collaborate with AI Lead and Tech Lead to define how user intents turn into plans, tool calls, and responses, and where guardrails, approvals, or explanations are required.
* Lead discovery & validation: run user interviews, workshops, and experiments to deeply understand user problems and validate solutions before and after shipping.
* Partner on AI metrics and evaluations: work with AI Lead, Data, and Verification to define AI-specific metrics (e.g. task success rate, safe-response rate, human intervention rate) and connect them to business KPIs.
* Collaborate with AI Lead, Tech Lead, Platform & Security, and Verification to align scope, Contracts, quality expectations, and release criteria.
* Drive stakeholder communication: maintain a clear roadmap, communicate priorities, trade-offs, and risks, and report KPI performance for your area.
* Champion evidence-based decisions using experimentation, usage data, AI evaluation results, and feedback from customers and internal users.
* Ensure robust Definitions of Ready and Done: every backlog item is spec’d, mapped to Contracts and tests, and backed by evidence (test results, evals, documentation) at release time.
Requirements
* Proven experience as a Product Owner / Product Manager, ideally in AI, data, or developer/technical products.
* Strong ability to write clear user stories, acceptance criteria, exception scenarios, and NFRs.
* Comfortable working with APIs, basic data models, and technical specs (you don’t need to code, but you can read and discuss Contracts with engineers).
* Experience with KPI-driven roadmapping and experimentation (e.g. A/B tests, feature flags, iterative rollout).
* Excellent communication and stakeholder management skills; able to align diverse technical and non-technical stakeholders.
* Structured, outcome-oriented mindset and a bias towards clarity, evidence, and iteration over opinions.
Nice to have
* Experience with LLM-based products (copilots, chatbots, agents) or data-heavy products.
* Exposure to high-assurance / regulated domains (e.g. finance, healthcare, safety-critical systems).
* Familiarity with product and analytics tools (e.g. Jira/Linear, Figma, Amplitude/Mixpanel, experimentation platforms).
What success looks like
Within 6–12 months in the role, you will have:
* Delivered features that show high goal-completion and adoption against your key KPIs in your domain.
* Established a clear KPI tree and Value Traceability Matrix so that requirements, Contracts, tests, and business outcomes are visibly linked.
* Reduced “scope confusion” and rework in delivery: engineering and verification teams report high clarity and stability of requirements.
* Demonstrated improving AI and product metrics over time (e.g. higher task success rate, lower manual interventions, improved user satisfaction).
* Built strong relationships with stakeholders, who describe you as a trusted partner for clarity, transparency, and outcome-focused decision-making.
What We Offer
* Competitive compensation and benefits package.
* Remote-first work with a flexible schedule.
* Opportunities for professional growth, training, and certifications.
* A dynamic environment where innovation, security, operational excellence, and cutting-edge ML technologies are highly valued.
* Projects that span cutting-edge AI, UX, fintech, and healthtech domains.
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