Staff Product Manager

Posted 5 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Cloud • Machine Learning • Retail • Software
The Role
Lead product strategy and roadmap for AI-first digital retail experiences. Define agentic workflows, partner with Engineering and Data/AI, set safety/PII guardrails, run experiments (A/B tests, staged rollouts), and mentor PMs while driving cross-functional delivery and go-to-market readiness.
Summary Generated by Built In
About Tekion:

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.

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. 

 


Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics. 

For more information on our privacy practices, please refer to our Applicant Privacy Notice here.

Skills Required

  • 7+ years of Product Management experience with customer-facing SaaS, eCommerce, marketplace, or workflow products
  • Proven track record of owning ambiguous problem spaces end-to-end and delivering products that move business metrics
  • Experience building AI-first products, including AI agents or 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 and discuss tradeoffs across quality, latency, cost, and operational constraints
  • Excellent communication and stakeholder management skills; ability to write crisp product narratives and decision documents
  • Experience in automotive retail technology (desirable)
  • Experience with digital retail flows (desking, trade-in, credit application, checkout, appointment scheduling) and experimentation/funnel analytics
  • Platform and scale experience building shared APIs, services, configuration, policy, and governance
  • Cross-functional leadership of multi-squad, distributed initiatives with measurable impact

Tekion Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tekion and has not been reviewed or approved by Tekion.

  • Healthcare Strength Healthcare coverage includes 100% employer-paid medical, dental, and vision for many U.S. roles, often extending to families. Additional options like HSA/FSA and pet insurance are cited as part of a robust health offering.
  • Fair & Transparent Compensation Pay is considered competitive overall, with total rewards (pay, stock, equity, and benefits) frequently viewed favorably. Many accounts characterize compensation as strong alongside comprehensive benefits.
  • Wellbeing & Lifestyle Benefits Perks such as free meals/snacks, wellness resources, and on-site amenities are highlighted. Flexible or remote options are available for some roles, adding convenience and flexibility.

Tekion Insights

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The Company
HQ: Pleasanton, CA
1,858 Employees
Year Founded: 2016

What We Do

At Tekion, we believe that business applications don’t have to be boring. In fact, they should be simple, fun and cool! They should be as delightful to use as your favorite social or consumer application, yet powerful enough to seamlessly and efficiently run global businesses that provide unparalleled consumer experience without compromise. Founded by visionary entrepreneur and innovator Jay Vijayan, we are building the world’s best business applications on the cloud starting with the automotive retail industry. We inherently use cutting-edge technologies like big data, machine learning/AI, and human computer interaction (voice, touch, vision, sensors and IoT). We are inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it! Our flagship product offering, Automotive Retail Cloud ™- an industry-first cloud-native retail platform, including all functionalities of a Dealer Management System (DMS) launched recently.

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