Job Summary
Supports the execution of PartsTech's core search platform, working in close partnership with OEC's data & applied AI function to deliver AI/ML-driven improvements while independently owning the shop facing experience and related areas. Drives end-to-end product execution.
What You'll Do
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.
What You Bring
Education
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.
Required Experience
At least 5 years of experience in search product management is required. Work background must include the following:
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.
Skilled in using search backend systems, including indexing strategy, query processing, retrieval architectures, or search engine platforms (e.g., OpenSearch, Elasticsearch).
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.
Nice to Have
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.
Travel
Travel for this position is required to attend team on-sites and other meetings, up to 15% of work time.
How We Work
We value collaboration, ownership, and pragmatic problem-solving.
We prioritize shared success over individual wins.
We encourage engineers to contribute ideas, challenge assumptions, and continuously improve how we build software.
We believe in modern engineering practices, fast feedback loops, and creating great developer experiences.
What We Offer:
Full benefits starting Day 1: Medical, Dental, and Vision
401(k) with company match
Unlimited Paid Flex Time Off plus 10 company-paid annual holidays
Remote-first role with monthly communication stipend
Professional development programs, tuition assistance
One-time home office equipment stipend upon hire
Employee resource groups and exclusive employee discounts