OEC provides software solutions to those who work in the automotive parts and repair industry. They are seeking a Senior Product Manager to support the execution of PartsTech's core search platform, focusing on AI/ML-driven improvements and owning the shop facing experience.
Responsibilities:
- Own the product roadmap for PartsTech's core search and results experience, including search flyout, search history, vehicle lookup, filters, product details, diagrams, brand preferences, and related search surfaces
- Work with leadership to establish the product vision and strategy for the Search product squad
- Implement OKRs and success metrics, maintaining a measurement first culture
- Develop and manages A/B experiments to improve key search metrics including conversion rate, GMV lift, and user satisfaction, applying rigorous analysis to validate or challenge hypotheses before scaling
- Lead shop facing search UX and frontend product delivery, partnering directly with product design as well as frontend and backend engineers to design, sequence, and ship new features
- Own supplier facing merchandising tooling, including carousels, featured information, brand preferences, and related supplier driven experiences
- Own search indexing and drives ranking, relevance, and recommendation engine optimizations in partnership with OEC's Data Science and Applied AI teams
- Perform discovery with customers and stakeholders to understand marketplace needs and identify product opportunities, using both qualitative user research and quantitative data to prioritize, validate, and drive product decisions
- Collaborate with customer-facing teams to enable sales, implementation, and go-to-market execution for new search initiatives. Presents product updates, roadmap strategies, and performance metrics to multi departmental stakeholders, ensuring alignment and transparency across the organization
- Drive end-to-end product execution by writing clear PRDs and high-quality user stories with thoughtful acceptance criteria, maintaining a prioritized product backlog, leading trade-off discussions with key partners, and hosting development ceremonies to keep the Search squad aligned and moving forward
Requirements:
- A bachelor's degree from an accredited college or university is required, with a focus in Economics, STEM concentration, or related analytical discipline. In the absence of a degree, equivalent work experience directly related to the key responsibilities of the role will be considered as a substitute for the degree
- At least 5 years of experience in search product management
- Prior experience in dedicated search, discovery, or related role within B2B marketplaces or e-commerce
- Direct experience shipping search or discovery products in a marketplace or e-commerce context with accountability for search conversion metrics and demonstrable GMV or revenue impact
- Hands on experience with search backend systems including indexing strategy, query processing, retrieval architectures, or search engine platforms (e.g., OpenSearch, Elasticsearch)
- Demonstrated experience working with data science and Applied AI/ML teams
- A proven track record owning product delivery in both customer facing search experiences and internal/admin/merchandising tooling surfaces
- Significant experience using both qualitative user research and quantitative data to identify areas of opportunity and inform prioritization
- Experience collaborating with product marketing to develop and execute go-to-market strategies
- Ability to design and manage A/B experiments to optimize search or discovery metrics, with a bias toward measurement and instrumentation
- Comfortable working with product analytics tools (ex. Segment, Pendo, Sigma)
- Can effectively coordinate cross-team integration work and manage dependencies across multiple squads
- Strong business acumen, with an ability to articulate the value of search improvements in terms of revenue impact, customer retention, and competitive differentiation
- Excellent communication and storytelling skills, and confident presenting product updates and strategy to technology and business leaders
- Master's degree in business, Economics, STEM, or a related analytical discipline preferred
- Background in the automotive, automotive e-commerce, or B2B parts/supply chain domain
- Familiarity with Product Information Management systems
- Familiarity with AI products, ML concepts, analytics and data science methodologies
- Experience working with complex marketplace product catalogs and taxonomies, including fitment data and multi-supplier catalog normalization
- Familiarity with supplier integrations, including API-based inventory retrieval