Senior Product Manager

Описание вакансии

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.

We are seeking a Senior Product Manager to join the Tekion Service Product Team in Pleasanton. In this role, you will drive the application of AI/ML across the entire value chain of the Service Department – from Scheduling to Invoicing – for dealership users who repair vehicles. You will own high-visibility, critical capabilities that reduce manual steps and review time, empowering BDC Agents, Technicians, and Service Advisors to focus on their core expertise.

You will work closely with ML/AI Engineers, Design, Data, GTM, and Customer Success teams to define strategy, drive execution, and deliver measurable business impact. This role is ideal for an AI-first product leader who thrives in complex technical domains, brings strong customer empathy, and can translate cutting-edge AI/ML capabilities into practical dealer workflows in a fast-paced SaaS environment. Our team, known internally as the JiraHunters, values precision, attention to detail, and a relentless focus on solving complex problems. You will also extend the benefits of Service innovations to external vendor tools via Automotive Partner Cloud (APC).

Key Responsibilities

Own Product Strategy & Outcomes

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

• Define and evolve the product strategy and roadmap for Service workflows, aligned with company goals, dealer needs, and AI/ML innovation

Drive AI/ML Product Innovation

• Partner with ML/AI Engineers to identify, prioritize, and productize AI/ML use cases that deliver tangible value across the Service value chain

• Translate technical AI/ML capabilities into intuitive, workflow-embedded features for BDC Agents, Service Advisors, Technicians, and Parts Counterpersons

Drive Business Impact

• Drive adoption, efficiency gains, and customer satisfaction for Service AI/ML products, with clear accountability for usage, time savings, and workflow improvements

• Partner with GTM and Customer Success teams to ensure features translate into measurable dealer value and operational excellence

Extend Value via APC Integration

• Drive integration and value extension to external vendor tools through Automotive Partner Cloud (APC), enabling seamless ecosystem connectivity

• Collaborate with Partner Engineering teams to ensure Service innovations benefit the broader automotive ecosystem

Customer-Centric Product Development

• Act as the voice of the customer, deeply understanding dealership service workflows, technician pain points, scheduling challenges, and parts operations

• Continuously gather and synthesize customer feedback, usage data, and field insights to inform product decisions and AI/ML model refinement

Data-Driven Decision Making

• Define success metrics and KPIs for AI/ML product areas, including accuracy, adoption, time savings, and workflow efficiency

• Use data to prioritize investments, evaluate model performance, and guide post-launch iteration

Cross-Functional Leadership

• Lead complex AI/ML initiatives across Engineering (ML/AI Engineers), Design, Data Science, Marketing, Customer Success, and Partner Engineering

• Align stakeholders across product verticals to ensure roadmap coherence, platform consistency, and responsible AI deployment

Platform & Scale Thinking

• Design AI/ML solutions that scale across dealership sizes, service volumes, and regional requirements

• Balance innovation with reliability, ensuring solutions are explainable, configurable, and sustainable

Execution with Velocity

• Enable teams to move fast without breaking things – clarifying priorities, managing dependencies, and making informed trade-offs to hit both short-term goals and long-term AI/ML bets

Requirements

• 7+ 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 with data scientists/ML engineers, understanding model lifecycle)

• Strong system design and product architecture skills – ability to design scalable, extensible technical solutions

• Experience leading distributed onshore and offshore teams

• AI-first thought process and mindset – comfort with ambiguity, rapid learning, and translating technical AI/ML concepts into product value

• Strong business acumen with ability to operate in complex, multi-stakeholder environments

• Proven track record of driving product adoption and measurable business impact

• Excellent written and verbal communication

• Experience partnering closely with ML/AI Engineers, Design, Data Science, and GTM teams

• Strong prioritization skills and ability to align stakeholders across functions

• Hands-on product leader with strong judgment and bias for action

• End-to-end ownership of the product lifecycle, including post-launch iteration and model performance monitoring

Preferred Skills

• Experience in the automotive service/aftermarket industry or with dealer/OEM service workflows

• Understanding of automotive repair operations, diagnostic workflows, scheduling systems, or parts catalog systems

• Experience with LLMs, NLP, or recommendation systems

• Familiarity with responsible AI principles and model explainability

• Background in operations research, process optimization, or workflow automation

• Experience with platform integrations and API-driven ecosystems (Open AI and/or MCP experience a plus

Sponsorship

Please note that visa sponsorship is not available for this position.

Perks and Benefits

Competitive compensation and generous stock options  

100% employer-paid top-of-the-line medical, dental and vision coverage 

Great benefits including unlimited PTO, parental leave and free snacks and beverages 

The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies  

Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper   

Work on the latest and coolest technologies – everything is home-grown and built ground-up  

A dynamic work environment with a strong sense of community and collaboration  

The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy  

Exciting opportunities for career growth and development

Current Tekion Employees – Please apply via Greenhouse Internal Job Board

The salary range describes the minimum to maximum base salary range for this position across applicable US locations. The actual compensation offered may vary from the posted hiring range based on geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. In addition to the compensation listed, this position may be eligible for equity compensation, and/or a bonus or commission whereby total compensation may exceed base salary depending on individual or company performance. Your recruiter can share more about the specific salary range during the hiring process.

Base Salary Range

$154,500—$209,000 USD

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. 

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