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Staff Product Manager

Tekion
IndiaOn-site
Employment
Full-time
Seniority
Staff

About the role

What You Will Do 

  • Own the product strategy and multi-quarter roadmap for AI-first Digital Retail experiences across web and mobile. 

  • Identify high-impact consumer and dealer workflow problems that can be solved through agentic experiences (e.g., guided buying, personalized vehicle matching, trade-in optimization, finance pre-qualification, appointment scheduling, Checkout) 

  • Define and deliver AI agent workflows that can reason, invoke tools/APIs, and complete tasks reliably with human-in-the-loop and escalation paths where needed. 

  • Translate business objectives into clear PRDs, epics, user stories, acceptance criteria, and success metrics. 

  • Partner with Data/AI and Engineering to define agent architecture requirements: tool/function calling, workflow orchestration, latency and more. 

  • Establish quality and safety guardrails: evaluation frameworks, prompt/tooling guidelines, PII handling, policy enforcement. 

  • Drive experimentation and measurement: A/B testing, staged rollouts, feature flags, and continuous improvement loops. 

  • Work cross-functionally to align stakeholders, manage dependencies, and ensure readiness for go-to-market and support. 

  • Act as a product leader at Staff level: mentor other PMs, set product standards, and influence direction across teams. 

 What We Are Looking For 

  • 7+ years of Product Management experience with customer-facing SaaS, eCommerce, marketplace, or workflow products; experience in automotive retail technology is a plus. 

  • Proven track record of owning ambiguous problem spaces end-to-end and delivering products that move business metrics. 

  • Experience building AI-first products, including at least one of: AI agents, agentic workflow automation 

  • Strong understanding of AI product risks and quality: hallucinations/grounding, safety, privacy, monitoring, evaluation, and human-in-the-loop design. 

  • Ability to work deeply with Engineering and Data/AI teams—comfortable discussing tradeoffs across quality, latency, cost, and operational constraints. 

  • Excellent communication and stakeholder management skills; ability to write crisp product narratives and decision documents. 

 Preferred Qualifications 

  • Digital Retail domain & data-driven growth: Experience across desking, trade-in, credit application, F&I menu, checkout, and appointment scheduling; strong command of experimentation and funnel analytics. 

  • Platform + scale mindset: Proven ability to build shared platform capabilities (APIs, services, configuration, policy, governance) and scalable systems/processes that enable multiple product teams. 

  • Cross-functional leadership: Leads multi-squad, distributed onshore/offshore initiatives end-to-end; drives adoption and measurable impact through strong business acumen, prioritization, and deep partnership with Engineering, Design, Data, and GTM. 

 

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