Purpose: Translate ambiguous enterprise problems into useful, buildable AI-native products and own discovery, roadmap, adoption and measurable value.
Core responsibilities
- Lead customer and stakeholder discovery; map workflows, users, friction and desired outcomes.
- Define product vision, PRDs, MVP scope, backlog and acceptance criteria.
- Design AI-assisted and agentic workflows with appropriate human control points.
- Partner with the Technical Architect on feasibility, platform choices and build-versus-buy decisions.
- Run prototypes, user validation and live product demonstrations.
- Define product metrics, adoption signals, cost/value assumptions and post-launch learning loops.
Required evidence
- 5-8 years total experience across product management, product engineering or adjacent technical product roles.
- At least one product or major feature taken from discovery through launch.
- Working knowledge of LLM applications, RAG, agents, APIs and evaluation.
- Ability to create a prototype, structured workflow or technically credible product demo.
- Strong written product thinking and stakeholder communication.
Required Skills
Product discovery and problem framing- Clear user/workflow analysis and falsifiable problem statement
Zero-to-one delivery- Personal contribution to a launched product or material feature
AI product literacy- Sound judgment on agents, RAG, controls and limitations
Prioritization and value - MVP choices, adoption metrics and economic logic
Technical fluency/prototyping- Can work directly with engineers and produce tangible artifacts
Communication and leadership- Concise decisions, constructive challenge and ownership