We are seeking a Product Manager to own product requirements for our production-grade AI and machine learning capabilities across our enterprise AI platform. The Product Manager will turn ambiguous problem statements into clear scope, decisions, and deliverables. They will translate business goals into buildable stories with measurable acceptance criteria and success metrics Product Managers will report to the Product Lead to ensure ongoing alignment on strategy, scope, priorities, and delivery outcomes. The Product Lead will provide direction, review requirements and user stories, and serve as the primary point of sign-off for key decisions (including functional and non-functional requirements, acceptance criteria, and release readiness) to ensure consistency and quality across the product. Responsibilities Drive discovery and clarification Lead stakeholder sessions to uncover objectives, constraints, workflows, edge cases, and "what good looks like" Convert ambiguity into clear problem statements, user journeys, and prioritized use cases Collaborate with technology partners Work daily with engineering, data/ML, architecture, QA, and design to align on approach, trade-offs, and delivery plan Resolve open questions quickly; document decisions, assumptions, dependencies, and risks Create epics, features, and user stories with unambiguous, testable acceptance criteria - Define functional requirements (what the solution must do) for agent behaviors, tools/actions, inputs/outputs, handoffs, and exception handling Define non-functional requirements including performance/latency, reliability, scalability, security, privacy, compliance, auditability, and observability Ensure stories include scenarios, edge cases, dependencies, and measurable outcomes Collaborate with program managers and delivery lead Align on timelines, milestones, dependencies, resourcing, and cross-team delivery coordination; proactively surface risks and support mitigation plans to keep execution on track. Backlog ownership and delivery readiness Collaborate with Product Lead on the backlog, prioritization, refinement, and "definition of ready" quality for sprint execution Validation and release support: Partner with QA/engineering to ensure acceptance criteria map to test cases and release gates Define evaluation criteria for agent outputs (quality, accuracy, brand compliance, safety/guardrails, human-in-the-loop steps) Support demos, UAT, rollout planning, and post-release iteration based on feedback and metrics Qualifications - Proven experience delivering software products in Agile teams (PM/PO/BA experience acceptable) - Strong capability in requirements elicitation, story writing, and defining "hard" acceptance criteria - Demonstrated success working through ambiguity and driving alignment and decisions - Ability to collaborate effectively with engineering and AI/ML partners and communicate clearly with non-technical stakeholders - Experience using backlog/documentation tools (e.g., Jira, Confluence, Azure DevOps) - 4-5 years Experience in Technical Product Management Preferred / Nice to Have: - Experience in marketing, advertising, or creative operations workflows (campaigns, content production, approvals, trafficking, reporting) - Familiarity with experimentation and measurement (A/B testing, KPI definition, telemetry/analytics) Success Measures (Examples): - Stakeholders report improved clarity and faster decision-making in ambiguous areas - Stories are consistently "ready," with minimal rework due to unclear requirements - Delivered agent workflows meet defined acceptance criteria and NFRs (quality, latency, reliability, safety) - Clear evaluation metrics and observability are in place to support iteration after launch Additional Information Transparency matters to us. The salary range for this position is $90,000-$110,000 per year. Actual compensation within this range will be based on a variety of factors, including relevant experience, knowledge, skills, and applicable certifications. This range reflects what we reasonably expect to offer based on current market data. We use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications or analyzing resumes. These tools assist our recruitment team but never replace human decision-making. We believe in a human-first approach, where your experience and potential are recognized by people.