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Tekion

Senior Product Manager - Analytics

Reposted 20 Days Ago
Remote
Hiring Remotely in United States
116K-193K Annually
Senior level
Remote
Hiring Remotely in United States
116K-193K Annually
Senior level
As the Senior Product Manager for Analytics, you'll oversee the lifecycle of dealer-facing reports and dashboards, promoting data-driven decision making and leveraging AI insights while partnering closely with dealers and engineering teams.
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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.

Job Description

At Tekion, we empower our product teams to solve meaningful customer and business problems in ways our users love. We are looking for a Senior Product Manager to own and evolve Tekion’s reporting and dashboarding strategy for our dealer-facing products.

This role is perfect for someone who has walked in a dealer's shoes or closely partnered with them — someone who knows what metrics matter most. You thrive at the intersection of product strategy, business intelligence, and AI-powered insights, and you can anticipate the next question before it’s even asked.

Key Responsibilities

  • Lead Analytics Product Lifecycle: Drive the end-to-end strategy, design, and execution of dealer-facing reports and dashboards—from ideation to launch and continuous optimization.
  • Champion Data-Driven Decision Making: Partner with engineering to fulfill data needs and build high-impact analytics products using BI platforms like ThoughtSpot, Looker, or Tableau.
  • Craft Actionable Insights: Translate dealership personas and workflows into intuitive, action-driven visualizations that drive operational efficiency, growth, and smarter decisions.
  • Ensure Data Governance and Consistency: Define and uphold standards for metric definitions, alignment with business objectives, and clean, governable data structures.
  • Drive Feedback and Validation Loops: Work directly with OEMs and dealers to gather feedback, prioritize needs, and validate the success of analytics initiatives.
  • Leverage AI for Advanced Insights: Use emerging AI capabilities to create personalized, predictive, or conversational insights that go beyond static reporting.
  • Be the Subject Matter Expert: Serve as the go-to expert for dealership decision-making workflows and analytics-driven product innovation.
  • Evangelize Analytics: Promote the value of insights across internal product teams and customer stakeholders to drive adoption and data fluency.

Skills and Experience

  • 8+ years of Product Management experience, with a focus on BI, analytics, or data-centric products
  • Deep understanding of automotive retail operations — you’ve worked with or for a dealership
  • Hands-on experience with BI tools (ThoughtSpot preferred, Tableau, Power BI, etc.)
  • Strong technical intuition — comfortable partnering with data engineering, warehouse (DWH), and AI/ML teams
  • Proven ability to launch and scale analytics products within a B2B SaaS environment
  • Exceptional communication and storytelling skills — you can turn complex data into compelling narratives
  • Passion for solving customer problems through intuitive product design and insightful visualizations

Preferred Skills

  • Experience with AI/ML in BI contexts (e.g., NLP, predictive modeling, embedded analytics)
  • Familiarity with data modeling and ETL pipeline concepts
  • Previous experience in multi-tenant SaaS platforms
  • Comfortable operating in a fast-paced, agile, startup-like environment

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 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
$115,650$192,800 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. 

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

Top Skills

AI
Bi Platforms
Data Engineering
Looker
Ml
Tableau
Thoughtspot

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