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Discovery Product Manager C2C jobs Location: Springfield, MO

Job in Springfield, Greene County, Missouri, 65897, USA
Listing for: Tech Mirrors
Full Time position
Listed on 2026-08-13
Job specializations:
  • Business
    AI Business & Operations, Product Manager
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Title:

Discovery Product Manager

Location:

Springfield, MO

Product Manager — Discovery

Discovery experience is a must have skill

Visa: H4

EAD, USC, GC EAD, L2 EAD

Experience:

12+ years

B2B Automotive Parts Platform

Role Overview

We are seeking an experienced Product Manager to own the Discovery product domain for a B2B digital platform serving professional automotive repair shops and commercial buyers. This role is responsible for how professional buyers find the right parts for the right vehicles — from initial search and catalog browsing through product details, pricing, availability, and order initiation.

The Discovery PM owns the end-to-end parts discovery experience, ensuring professional buyers can efficiently identify, validate, and act on the parts they need across a large, complex automotive catalog. This is a high-impact role at the intersection of catalog quality, vehicle-based navigation, commerce enablement, and platform data integrity.

The ideal candidate brings strong B2B or automotive e-commerce product thinking, experience with catalog and commerce platforms, and the ability to drive delivery in a complex enterprise environment with multiple stakeholders and technical dependencies.

Key Responsibilities
  • Product Strategy & Roadmap Ownership
    Own the product vision, strategy, and roadmap for the Discovery domain — covering parts search, catalog browsing, vehicle-based part selection, product listing and detail pages, pricing and availability, order initiation, part interchange, and kits.
    Define and prioritize features based on professional buyer needs, business impact, catalog data quality, and technical feasibility.
    Build and maintain a structured product backlog with clear prioritization rationale — balancing quick wins against foundational platform investments.
    Develop PRDs, user stories, and acceptance criteria that are unambiguous and delivery-ready.
    Define measurable product goals, KPIs, and success metrics across all feature areas.
  • Customer Discovery & Buyer Insights
    Develop a deep understanding of the professional automotive buyer workflow — how shop owners, service advisors, and parts specialists search for parts, validate fitment, check availability, compare pricing, and initiate orders.
    Lead structured discovery activities — customer interviews, usability sessions, support ticket analysis, and usage data review — to identify friction in the parts discovery journey and validate product direction.
    Translate buyer pain points and behavioral data into scalable product capabilities that improve discovery accuracy, speed, and confidence.
    Collaborate with internal product, QA, and business stakeholders to align on buyer needs before committing to development.
  • Catalog & Discovery Product Ownership
    Own the product strategy for parts search — including keyword and vehicle-based catalog lookup, part interchange (compatible and substitute parts), and kit-level product discovery.
    Define requirements for catalog enrichment — ensuring product listing and detail pages surface the right attributes, fitment data, imagery, and technical specifications that professional buyers need for purchase decisions.
    Own pricing and availability requirements — ensuring P&A data is accurate, timely, and surfaced at the right point in the buyer journey.
    Own the order initiation experience — defining how buyers move from discovery to order, including add-to-order flows from listing and detail pages and the stock order workflow.
  • Platform & Data Foundation
    Partner with engineering and data teams to define requirements for data sync, batch processing, and platform resilience — ensuring catalog accuracy, availability, and performance at scale.
    Define analytics instrumentation requirements — ensuring the right events, funnels, and dashboards are in place to measure catalog completeness, discovery effectiveness, and buyer engagement.
    Use analytics and experimentation to continuously improve catalog quality, discovery relevance, and conversion.
  • Delivery & Cross-functional Leadership
    Drive end-to-end feature delivery within an Agile delivery model — from story sign-off and technical design through development, integration, testing, and…
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