Group Product Manager - Vehicle Data Solutions

About Carvana

“We believe CVNA is in the early stages of becoming the next U.S. retail category killer.” 

– Stephens Investment Bank, Analyst Report, Sept. 2024

Building leading-edge technology has been at the core of Carvana’s strategy since our founding, driving us to become the 3rd fastest company in history to organically reach the Fortune 500 following only Amazon and Google. Today, we remain founder-lead and as ambitious as ever. In 2024, we have not only emerged as the fastest growing automotive retailer, but also the most profitable thanks to our deep vertical integration across retail, lending, vehicle transportation, wholesale auctions, and more. 

If you want to grow not just as a leader but as a business-builder, Carvana is the place for you. Our technology teams build:

• End-to-end ecommerce for both selling and buying cars, including everything you see on Carvana.com and in our mobile apps.
• AI-driven customer support across chat, email, SMS, and voice, as well as a proprietary CRM platform to ensure the most efficient and highest quality customer experience.
• 360° vehicle photography and interactive merchandising using cutting edge computer vision and AI techniques.
• The most sophisticated and self-service automotive lending platform in the world.
• Systems and tools behind a nationwide logistics network that has delivered and picked up over 3 million cars via our fully owned and operated fleet of automotive haulers, efficiently managing distribution of our massive inventory to 85% of US driveways.
• Enterprise grade systems for operating the largest vehicle reconditioning facilities in the US, with workflow and automation to guide the work for everything mechanical, electrical, and cosmetic needed to bring each car to our high standards.
• Early adoption and customization of AI tools for optimizing our Developer efficiency and experience.

And much, much more…

This role is 100% on-site at our Tempe Town Lake HQ, Monday through Friday.

About the team and position

We’re unifying every fragment of used and new-vehicle information - in-house auction bids, partner feeds, inventory-lifecycle events, vehicle-condition signals, history records, and the many vocabularies that describe them - into a single data platform. That canonical layer powers smarter acquisition, real-time stock visibility, dynamic pricing, and richer merchandising language. You own that platform end-to-end.

Scope & Reporting

• Team: 2 Product Managers across 3 teams, plus dedicated engineering squads aligned to each product vertical.
• Accountable domains:
1. Vehicle description, condition & history ontology - reconciling disparate vocabularies and data sources into a canonical model for merchandising, acquisition, and pricing.
2. Vehicle acquisition - in-house auction bidding, partner inventory feeds, managed listings.
3. Vehicle inventory ingestion & lifecycle tracking - from bid through acquisition and recon all the way to listed and sold
4. Pricing & bidding intelligence - customer-vehicle bid calculations, direct auction-bid automation, and retail pricing algorithms, all built with internal Data Science partners.

What You’ll Do

• Craft and execute a multi-horizon roadmap across the four pillars above.
• Make architecture calls - schema evolution, enrichment layers, SLAs.
• Deliver with dedicated engineers, merchandising, data science, pricing, inventory ops, and internal auction partners.
• Mentor and grow the PM team.
• Drive measurable improvements in data accuracy, latency, coverage, and business impact.

What You'll Bring

• 8–10 yrs product management; 3+ yrs leading PMs or cross-functional pods.
• Proven record turning messy, heterogeneous data into high-scale products.
• Deep fluency in data pipelines & aggregation (Snowflake, Kafka, BigQuery or equivalents).
• Comfort translating complex schemas, condition data, and domain ontologies into user-facing capabilities.
• Commercial instincts to quantify data investments and communicate trade-offs to execs.

Nice-to-have

• Automotive, auction, or inventory-heavy marketplace experience.
• Pricing-science exposure (hedonic models, RL, dynamic engines).
• Launched internal data products that became monetized APIs/features.

Tools you’ll work with

• Generative AI toolkits, Sigma, Tableau, Snowflake, Kafka, BigQuery, Postman, JIRA.

What we’ll offer in return

• Competitive salary a