Senior Product Manager, Enterprise Inventory Services

About the Role
Cox Automotive's Enterprise Inventory Services (EIS) team builds and operates the platforms and tools that power vehicle inventory across Cox Automotive's retail ecosystem. EIS enables the inventory data infrastructure, dealer-facing inventory management solutions, and the operational tooling that connects them. This is enterprise product management: you own capabilities that dealers, internal teams, and other Cox Automotive products depend on.
We are hiring a Senior Product Manager to own a portfolio of inventory capabilities from problem discovery through adoption. You will define what to build and why, drive alignment across product, engineering, architecture, and UX, and ensure that what ships gets adopted by the people and systems that depend on it. You will work across client segments and internal operations to understand how dealers manage inventory and where the experience breaks down.
This role requires someone who operates independently, thinks in outcomes rather than features, and brings a structured approach to discovery and prioritization. You will be accountable for the health of your discovery pipeline, the quality of your specs, and the adoption of what you ship. Product defines the problem and requirements.
What You Will Own
Problem Discovery and Product Strategy. You lead discovery for your product area. That means identifying and validating problems through direct engagement with internal customers (operations, support, business stakeholders) and external clients (dealers, integration partners). You define personas, map workflows, build hypotheses, and test them. You use data, customer evidence, and competitive context to form a point of view on what to build next, and you defend that point of view with specifics. Discovery is not requirements gathering; it is structured problem-solving that produces conviction.
Spec-Driven Development. You write product discovery specs that clearly define the who, why, and what. Your specs include measurable acceptance criteria, defined scope boundaries, and enough context for a human or machine to evaluate feasibility and propose solutions. You own the quality of what enters the development pipeline.
Backlog Health and Pipeline Management. You maintain a forward-looking pipeline of meaningful work for your engineering teams. Your teams should always know what is coming next and why. You also exercise judgment about how far ahead to plan; in an AI-driven development environment, planning too far out creates waste. The right balance is enough runway to maintain momentum without overcommitting to solutions that may shift.
Cross-Functional Alignment. You navigate a matrixed environment where leaders have competing priorities. You build consensus by leading with evidence and framing tradeoffs clearly. You work across product, UX, engineering, architecture, business leadership, and solution delivery teams daily. You communicate headlines first, provide context second, and make it easy for leaders to make decisions.
Adoption and Go-to-Market for Platform Capabilities. Shipping is not success; adoption is. You define what complete adoption looks like for each capability, build rollout plans with implementation partners and operations, and track progress against measurable criteria. You treat internal customers with the same rigor as external ones.
Stakeholder Communication and Transparency. You surface status, risks, and wins proactively. You do not wait to be asked. You keep your manager and cross-functional partners informed at the right cadence with the right level of detail. When something is off track, you bring the problem and a recommended path forward, not just the problem.
What We Look For
Structured Discovery Skills. You have a repeatable playbook for moving from ambiguity to conviction. You can describe your methods and explain when you use each one. You know when to stop exploring and start committing.
Strategic Prioritization with Tradeoffs. You can articulate what you chose to build, what you chose not to build, and why. You connect your priorities to business outcomes, not just feature requests. You plan around outcomes and adjust when priorities shift. You balance long-term enterprise needs with short-term incremental value.
Data-Driven Decision Making. You anchor recommendations in evidence: usage data, customer feedback, operational metrics, cost analysis. When data is incomplete, you name what you know, what you are assuming, and what you would need to confirm.
AI Fluency. You use AI tools in your daily product work. You have integrated AI into discovery, analysis, spec writing, or prototyping in ways that change how you work. You have a point of view on how AI is changing the product management discipline and what becomes more (and less) important as AI capabilities expand.
Ownership and Accountability. You own outcomes, not activities. You meet deadlines and follow through on commitments without being chased. When you identify a problem, you bring a recommendation or set of options, not just the observation. You do not wait for someone else to define your priorities or validate your ideas.
Communication Discipline. You lead with the headline. You are concise in meetings and precise in writing. You tailor your message to the audience: technical depth for engineering, business impact for leadership, user outcomes for design. You do not bury the point or meander through context before reaching it.
Requirements

• Bachelor's degree and 6 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and up to 2 years of experience; or 10 years' experience in a related field
• 5+ years of experience in software product management
• Demonstrated experience owning product discovery end-to-end: from problem identification through validated solution direction
• Critical thinking skills to solve challenging problems for complex enterprise products; not afraid to ask hard questions to achieve the best outcome
• Strong written and verbal communication skills; can precisely articulate customer problems and solution value and effectively influence cross-functional teams
• Understanding of modern product development practices and how to drive complex initiatives forward in a multi-team environment
• Proficiency with AI tools integrated into product workflows
• Excellent interpersonal skills and the ability to develop relationships with team members and customers
• Experience with enterprise platform or capability products where your customers are other products or technical teams preferred

USD 111,600.00 - 186,000.00 per year
Compensation:
Compensation includes a base salary in the range of $111,600.00 - $186,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets