Product Manager III

ACV • Toronto, ON

6d

About The Position

ACV is a technology company that has revolutionized how dealers buy and sell cars online, transforming the automotive industry. ACV Auctions Inc. (ACV) has applied innovation and user-designed, data-driven applications and solutions. We are building the most trusted and efficient digital marketplace with data solutions for sourcing, selling and managing used vehicles with transparency and comprehensive insights that were once unimaginable. We are disruptors of the industry and we want you to join us on our journey. Our network of brands include ACV Auctions, ACV Transportation, ClearCar, MAX Digital and ACV Capital within its Marketplace Products, as well as, True360 and Data Services.
At ACV we focus on the Health, Physical, Financial, Social and Emotional Wellness of our Teammates and to support this we offer:
Company Sponsored (paid) Healthcare, Dental, Vision, Life/AD&D, Short-Term and Long-Term Disability.
Comprehensive additional optional benefits such Critical Illness and Supplemental Life/AD&D.
All insurance benefits go into effect on your date of hire.
Generous Parental Leave Top-Up Pay and Vacation Programs.
Employee Stock Purchase Program with additional opportunities to earn stock in the company.
Retirement planning through the Company’s RRSP.

Requirements

• 4+ years industry (Auto-tech) / Product Management experience
• Experience owning data-heavy or technically complex product areas, including data pipelines, schema and event design, platform integrations, and prioritizing product investments that improve data accessibility, usability, and business impact.
• Strong understanding of modern data hygiene practices, including data quality management, governance, lineage, validation, and the processes required to ensure trusted, reliable, and scalable data assets across the organization.
• Demonstrated success in identifying and implementing LLM-based solutions to augment user workflows, resulting in significant efficiency gains or enhanced capabilities.
• Proven track record of leading the end-to-end delivery of complex, technical products, from ideation through to launch and iteration, consistently driving measurable business outcomes.
• Ability to drive product strategy by translating complex data into actionable insights, which requires a strong quantitative toolkit including hands-on proficiency in SQL, rigorous experimentation design, and a deep understanding of metrics architecture
• Experience working cross-functionally with engineering teams
• Agile experience and release planning prioritization skills
• Presentation skills - Ability to simplify complex data and technical systems
• Mentoring and coaching skills
• Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Data Science, or similar). Advanced degrees are a plus.

Responsibilities

• Own data products powering ML models, such as vehicle attributes, condition, and history.
• Lead as the connective tissue between Engineering, Data Science, ML teams, and Commercial stakeholders.
• Collaborate with engineering and data science teams on ML model feature definition and selection, ensuring inputs align with product goals, customer behavior, and measurable business outcomes.
• Collaborate with engineering and data science teams to define, evaluate, and improve model performance metrics aligned to product outcomes and customer value.
• Employ a hypothesis-driven approach to product development, converting ambiguity and assumptions into a clear framework for experimentation and validation via experimentation frameworks, including A/B testing, and evaluating offline versus online metrics to measure product and model performance.
• Ensure data quality, coverage, and the reliability of underlying models and services that power critical product experiences and business decisions.
• Translate complex data from multiple sources—including user behavior, seller performance, and model outputs—into actionable insights that drive product prioritization and innovation.
• Improve inventory liquidity, pricing accuracy to drive trust and optimize the marketplace.
• Identify high-leverage product opportunities through ranking improvements, data enrichment, and better use of signals to improve relevance, conversion, and customer outcomes.
• Guide product strategy by evaluating and clearly communicating critical trade-offs between technical implementation and business value (e.g., performance vs. explainability).
• Define and own a 6–12 month roadmap across Data, Search, and ML-driven features.
• Articulate and advocate for product strategy, roadmap, and business outcomes to executive leadership to secure buy-in and alignment.

Benefits

• Company Sponsored (paid) Healthcare, Dental, Vision, Life/AD&D, Short-Term and Long-Term Disability.
• Comprehensive additional optional benefits such Critical Illness and Supplemental Life/AD&D.
• All insurance benefits go into effect on your date of hire.
• Generous Parental Leave Top-Up Pay and Vacation Programs.
• Employee Stock Purchase Program with additional opportunities to earn stock in the company.
• Retirement planning through the Company’s RRSP.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior