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# IT Product Owner III

- **Company:** Motion Industries
- **Location:** Birmingham, AL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Artificial Intelligence, BigQuery, Elasticsearch, Python (Programming Language), Machine Learning, Scrum Methodology, Search Technologies, Usage Analysis
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3f3319c2449040dd

## About the Role

* 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).

## Description

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.


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