Role: AI Product Owner
Location: Redmond, WA - Onsite - Local Preferred
Contract: 6+ Months with Possible Extension
Experience: 10+ years
Mandatory: AI
Job Summary
We are seeking a hands-on AI Product Owner to join our Forward Deployed Engineering (FDE) squad, a small,
embedded team that works directly with customers to turn high-value business problems into production AI
solutions in weeks, not quarters. This is not a traditional product management role. You will sit alongside customer
stakeholders and engineers, discover where AI can create measurable value, shape the solution in real time, and
own the outcome from first prototype through production adoption. The ideal candidate is technically fluent in
Generative AI, Agentic AI, LLMs, and RAG; comfortable building and testing prototypes themselves; and driven by
business impact rather than process. You will act as the voice of the customer inside the squad and the voice of the
squad with customer leadership.
Job Details:
Key Responsibilities
• Embed with customer teams to understand workflows, pain points, and data, and identify the highest-value AI
and agentic use cases.
• Rapidly frame problems into testable hypotheses, and define what “good” looks like before anything is built.
• Prototype hands-on using prompt engineering, low-code agent tools, and AI platforms to validate ideas with
users within days.
• Own the squad backlog in ADO, writing lean user stories and acceptance criteria tied to business outcomes, not
just features.
• Partner with the AI Architect and Forward Deployed Engineers on agent design, tool and API integrations, RAG
strategy, and model selection.
• Define and own evaluation sets (golden datasets, test cases, rubrics) and use eval-driven development to decide
when a solution is ready to ship.
• Make pragmatic trade-offs between quality, latency, cost, and risk, and explain them clearly to customer
stakeholders.
• Drive solutions from pilot to production, including security, compliance, and operational readiness.
• Own adoption: user onboarding, feedback loops, telemetry, and iteration after go-live.
• Measure and report business impact (time saved, cost reduced, quality improved) and build the case for scaling
or stopping.
• Apply Responsible AI principles, including guardrails, human-in-the-loop design, hallucination handling, and
monitoring for drift and misuse.
• Capture reusable patterns, components, and playbooks so each engagement makes the next one faster.
• Build trusted relationships with customer leaders and identify follow-on opportunities.
Required Qualifications
• Bachelor’s degree in Computer Science & Engineering, Data Science, or a related field (or equivalent experience).
• 7+ years in product management, product ownership, technical program management, solutions engineering, or
consulting.
• 2+ years hands-on delivering GenAI, LLM, or agentic AI solutions into production (not only roadmaps or strategy).
• Practical experience with prompt engineering, RAG, vector databases, agent frameworks, and tool/API
integration.
• Ability to build working prototypes yourself (low-code agent builders, notebooks, scripting, or similar).
• Experience designing AI evaluations and quality metrics for LLM-based systems.
• Understanding of AI architecture, APIs, data integration, LLMOps, and production readiness.
• Comfort working directly with customers in ambiguous, fast-moving environments.
• Strong prioritization and the judgment to say no, or to stop work that is not delivering value.
• Excellent communication and storytelling, including executive-level stakeholder management.
• Bias for action and ownership of outcomes.
