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ACV AuctionsPosted 2 weeks ago

Staff Product Manager, Inspections.

$172,000–$216,000 year

On-siteBuffalo, New York, United States

Full TimeSenior LevelBachelors DegreeLarge

Job Summary

Own the long-term strategy and roadmap for the vehicle inspection platform, aligning products and teams behind shared goals while partnering with finance to build business cases and forecast major bets. Drive discovery for new capabilities and markets, making build, buy, or partner calls to decide platform investments. Set the standard for product craft by defining AI-native full-stack workflows, adopting responsible AI guidelines, and building reusable tools. Lead go-to-market planning for major launches, coordinating sequencing across Sales, Marketing, and Operations, and reorient initiatives when market or AI capabilities shift. Mentor senior product talent and foster cross-functional alignment with FP&A, legal, and corporate development.

Required Qualifications

  • Ability to read, write, speak and understand English
  • Proven track record owning strategy and delivery for a product area or portfolio that spans multiple teams
  • Fluency with AI-native product workflows, including rapid prototyping
  • Product discovery, prioritization, product-strategy, and measurement (KPI) skills
  • Business and financial acumen, including building business cases and financial models to present to executives
  • Excellent communication and the ability to influence senior stakeholders without direct authority
  • Experience mentoring and growing other PMs
  • Strong customer focus and sound product judgment
  • Direct experience in vehicle inspection, vehicle conditioning, or the automotive industry
  • Go-to-market and release planning experience
  • Bachelor's Degree

Desired Qualifications

  • Experience building platform or API products that other teams build on
  • Experience with field-operations, mobile, or data-capture products
  • Experience with products where data accuracy or trust is mission-critical, such as trust and safety, fraud, or quality
  • Experience with condition-data or computer-vision/ML-powered products
  • Technical depth, such as prior software engineering experience, fluency querying data with SQL, and comfort reading and reasoning about code

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