Senior Product Manager

Tekion

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

2 days ago
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Job summary

Tekion in Bengaluru is seeking a Senior Product Manager to lead AI/ML powered service capabilities across Scheduling, Repair Order Management, Parts Operations, Technician Workflows, and Invoicing for dealership users. You will own high-visibility features and drive the model conversations with ML engineers.

You will define success metrics, shape scalable architectures, and partner with data science, design, and GTM teams to deliver measurable improvements while advancing the product roadmap.

Qualifications

  • 8+ years of product management experience with SaaS products.
  • 2+ years in AI/ML product management with collaboration with data scientists or ML engineers.
  • Strong systems design and scalable architecture skills.
  • Experience leading distributed onshore and offshore teams.
  • Excellent written and verbal communication with ML/AI teams and GTM.

Responsibilities

  • Own end-to-end product lifecycle for AI/ML-powered Service capabilities across Scheduling, Repair Order Management, Parts Operations, Technician Workflows, and Invoicing.
  • Partner with ML/AI engineers to identify and productize AI use cases and participate in model conversations.
  • Define success metrics: accuracy, adoption, time saved, workflow efficiency, and align roadmaps to them.
  • Design scalable solutions that fit varied dealership sizes, service volumes, and regional needs.
  • Set systems design and framework standards for the team.
  • Use data to decide what to build next, beyond gut-feel roadmaps.

Skills

Product management
AI/ML product management
Systems design
Technical architecture
Leadership
Cross-functional collaboration

Job description

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.

About the Role

We're hiring a Senior Product Manager to drive AI and systems strategy across the Service value chain, scheduling through invoicing, for the dealership users who actually repair vehicles. You'll own high-visibility capabilities that cut manual steps and review time for BDC agents, technicians, and service advisors, so they can spend their time on the work that actually needs a human.
This role is built for someone who thinks like a systems architect even though you're not writing the architecture yourself. You've shipped AI/ML product before. You understand how integrations and backend systems actually behave under load, not just in theory. And you bring enough seniority to set the framework, not just fill in a roadmap someone else built. Our team, known internally as the JiraHunters, values precision, attention to detail, and a relentless focus on solving hard problems properly the first time.

What You'll Do

Own the end-to-end product lifecycle for AI/ML-powered Service capabilities across Scheduling, Repair Order Management, Parts Operations, Technician Workflows, and Invoicing

Partner directly with ML/AI engineers to identify, prioritize, and productize AI use cases. You're in the room for the model conversation, not briefed on it afterward

Define the success metrics that matter: accuracy, adoption, time saved, workflow efficiency, and hold the roadmap to them

Design solutions that scale across dealership sizes, service volumes, and regional requirements without falling apart at the edges

Set the systems design and framework standards other PMs on the team build against

Use data to decide what to build next, not gut feel dressed up as a roadmap

What You Bring

8+ years of Product Management experience owning customer-facing SaaS products

2+ years of hands-on AI/ML product management experience: building ML-powered features, working directly with data scientists or ML engineers, understanding the model lifecycle end to end. This is required, not preferred

Strong systems design and product architecture skills. You can design a scalable, extensible technical solution and explain why it's the right one. Non-negotiable for this role

Experience leading distributed onshore and offshore teams

Strong business acumen and the judgment to prioritize ruthlessly when everything looks urgent

Excellent written and verbal communication, with the ability to partner closely with ML/AI engineers, design, data science, and GTM

Good to Have

Experience in automotive service or aftermarket, or with dealer/OEM service workflows

Understanding of diagnostic workflows, scheduling systems, or parts catalog systems

Hands-on experience with LLMs, NLP, or recommendation systems

Familiarity with responsible AI principles and model explainability

Background in operations research, process optimization, or workflow automation

Note: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system!

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 .

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