Product Manager, Multiple Levels

Carvana•Tempe, AZ

About The Position

Carvana is hiring Product Managers across associate, mid-senior, and leadership levels for teams in Los Angeles (Playa Vista) and Phoenix. The Product team is part of an AI-first technology organization that moves quickly, takes ownership, and builds products at scale. Product Managers are expected to bring strong product instincts, a data-driven mindset, an AI-first approach, and end-to-end accountability for outcomes. Depending on background and interests, candidates may be considered for Inventory, Transactions, Ancillary Products and Finance, or Nurture. Inventory supports more than 150 Inspection Centers, covering reconditioning workflows and throughput, labor forecasting and utilization, vehicle quality standards, and parts management and spending. These hands-on, floor-facing roles involve spending time in Inspection Centers, observing operations and working with technicians and shop leadership. The Transactions, Ancillary Products, and Finance team focuses on the website experience and checkout conversion, including trades, finance, warranty, pickup and delivery selection, and insurance. The AI-first Nurture team guides customers from early interest through purchase using machine learning, personalization, and experimentation across email, SMS, and push. Across teams, Product Managers drive roadmaps and end-to-end product development informed by customer research, analytics, and business needs. They collaborate with Engineering, Design, Data Science, Analytics, and business stakeholders; own experimentation and measurement; use AI tools in their work; write requirements and project documentation; and use data to assess opportunities and tradeoffs. They take ownership of their product areas and are accountable for long-term business outcomes such as sales, gross profit, customer satisfaction, and cost per unit sold. This is a full-time position with competitive salary and Carvana stock compensation. The role is eligible for visa sponsorship. Hiring is contingent on passing a complete background check.

Requirements

Bachelor's degree in STEM, Economics, Finance, Industrial Engineering, Supply Chain Management, or equivalent experience.
Two or more years of product, product analytics, or related experience for mid-level consideration; four or more years for senior-level consideration.
Outcome-oriented, data-driven decision-making skills and expertise in metrics, analytics, and tools such as SQL, Tableau, Looker, or Sigma.
An AI-first approach to product work, with hands-on experience using AI tools for research, analysis, prototyping, and day-to-day productivity.
Excellent written and verbal communication, organizational, and project management skills, with strong attention to detail.
Ability to learn technical concepts and communicate them effectively to non-technical audiences.
Deep product experience at one or more highly successful, ideally high-growth, companies.
Strong opinions about consumer products and a developed sense of product taste.
Experience with experiment design and interpretation.
Willingness to do what is needed for the team and customers.
Self-motivation, a sense of humor, and ability to thrive in a fast-paced, ambitious environment.
Ability to read, write, speak, and understand English.

Nice To Haves

Genuine passion for AI and its potential to transform product experiences, with curiosity about emerging technology and creative applications.
Demonstrated ability to design, build, and deploy enterprise software solutions, particularly in industrial plant design, process management platforms, or automotive or supply chain manufacturing.
Hands-on experience building or iterating on AI-driven products, including features powered by machine learning, LLMs, RAG, tool-calling, or agent frameworks.
Knowledge of data science best practices and ability to collaborate with data scientists and ML engineers on model-informed product decisions.
Strong UX instincts and ability to anticipate user needs and pain points, especially in AI-assisted or conversational experiences.
Experience with agile methodology, product strategy, and roadmapping.
Familiarity with Snowflake, Sigma, Looker, or Tableau for independent data exploration.
Background in automotive, e-commerce, marketplaces, retail, or similarly complex operating environments.

Responsibilities

Drive the product roadmap and lead end-to-end product development informed by customer research, analytics, and business needs.
Partner with Engineering, Design, Data Science, Analytics, and business stakeholders to scope, prioritize, and ship high-impact initiatives.
Own experimentation and measurement, interpret results, and translate insights into continuous product improvements.
Apply AI tools to research, synthesis, prototyping, and day-to-day execution.
Write clear requirements, project briefs, and documentation to align stakeholders and support effective engineering execution.
Use data to size opportunities, evaluate tradeoffs, and make decisions.
Own a product area and be accountable for long-term outcomes such as sales, gross profit, customer satisfaction, and cost per unit sold.
For Inventory team roles, spend time in Inspection Centers observing operations and working with technicians and shop leadership to shape supporting software and processes.