IT Product Owner III

We’re building intelligent product search that understands intent, learns from behavior, and gets smarter over time. You’ll partner with a Business Owner who sets the strategic direction-your job is to take that vision and execute: decomposing it into engineering-ready work, keeping the team unblocked, and ensuring every sprint delivers measurable outcomes. You’ll work side-by-side with an ML Architect, Search Architect, and Senior Python Engineers. You don’t need to write the models-but you need to understand them well enough to write sharp requirements and set a clear bar for ‘done.’

WHAT YOU’LL OWN

Backlog & Execution

• Internalize Business Owner priorities and translate them into a groomed, estimated, sprint-ready backlog.
• Write clear user stories with acceptance criteria; decompose ML features into shippable increments with the Architects.
• Run sprint ceremonies, maintain delivery cadence, and shield the team from scope creep.

Discovery & Requirements

• Lead discovery with Merchandising, Sales, and Customer Success to surface unmet search needs.
• Partner with Architects to validate technical feasibility before committing to sprint scope.
• Escalate prioritization conflicts to the Business Owner with clear options-not just problems.

Experimentation & Measurement

• Partner with the Business Owner to define success criteria and relevance KPIs for A/B experiments (CTR, zero-result rate, NDCG, conversion-from-search).
• Coordinate instrumentation with engineering and surface experiment results to the Business Owner in clear, actionable terms.

• 5-8 years product ownership experience; including 2+ years on a search, AI, or ML product in ecommerce.
• Proven ability to execute alongside a Business Owner-translating strategy into backlogs without owning the vision.
• Familiarity with ecommerce search patterns: faceting, query understanding, merchandising rules, relevance tuning.
• Experience tracking search KPIs and interpreting A/B experiment results with statistical rigor.
• Strong communicator across engineering, data science, and business stakeholders.
• Agile/Scrum practitioner comfortable in fast-moving, cross-functional ML teams.

Nice to Have

• B2B or industrial ecommerce background; knowledge of ML concepts (embeddings, vector search, reranking, RAG).
• Experience with Elasticsearch/OpenSearch, LaunchDarkly, GCP, or product analytics tools (Adobe Analytics, BigQuery).

Pulled from the full job description

• Tuition reimbursement
• 401(k)
• Health insurance
• Paid holidays