Group Product Manager

DealerOn

2d•$106,400 - $161,400•Remote

About The Position

The Group Product Manager owns a connected group of products and initiatives and directly manages the Product Managers and Associate Product Managers working on them. The role contributes to the product group’s strategy and roadmap, develops the team, and remains hands-on in critical product work. It collaborates with product leaders and cross-functional partners to align priorities, dependencies, and roadmaps. The role balances customer needs, technical feasibility, and business priorities while guiding AI product development. It is accountable for delivery, product-group outcomes, team growth, and the quality, cost, stability, and security of products. The position is open to US residents only and is remote. The targeted salary range is $106,400–$161,400, subject to adjustment based on job-related factors.

Requirements

Bachelor’s degree or equivalent professional experience in Business, Technology, Marketing, Engineering, Computer Science, or a related field.
8+ years of SaaS product management experience, including leading complex initiatives in Agile environments.
Experience formally mentoring or managing product managers, with clear evidence of their growth.
Track record of owning strategy and outcomes for a group of related products.
Technical product management experience and a working understanding of how websites are built and rendered.
Understanding of HTML, CSS, and structured data (Schema.org/JSON-LD), and how these affect SEO, accessibility, page performance, and visibility in AI-driven search.
Hands-on experience using AI tools such as Claude, ChatGPT, Lovable, or Figma AI to build prototypes, automate workflows, and accelerate product work.
Experience defining AI-powered product features, including setting success criteria and evaluating output quality, accuracy, reliability, and cost.
Ability to influence cross-functional stakeholders, with strong analytical, communication, and organizational skills.
Track record of data-informed decisions using tools such as GA4 and Pendo.
Proficiency with product management tools such as Jira, Confluence, or Miro.

Nice To Haves

Experience in automotive retail technology, dealership software, digital retailing, CMS platforms, CRM platforms, or automotive marketing solutions.
Experience defining requirements for MCP-based integrations or AI agent experiences.
2+ years of people management experience, ideally managing product managers.
Experience hiring product managers and running structured interview processes.
Familiarity with consumer shopping journeys, lead funnels, conversion optimization, and attribution.
Formal product management or people management training.

Responsibilities

Contribute to strategy and roadmap for a connected group of products and initiatives, aligned with portfolio strategy and company goals.
Own investment trade-offs within the product group and make risks, opportunity costs, and impacts on revenue and profitability explicit.
Use market trends, competitive insights, customer research, and product data to set priorities across the product group.
Balance short-term delivery with long-term platform scalability.
Define and monitor success metrics, including adoption, engagement, conversion, retention, and revenue contribution.
Directly manage, coach, and develop Product Managers and Associate Product Managers; set expectations and hold the team accountable for outcomes.
Partner with the VP of Product Management on hiring, onboarding, and performance management.
Conduct regular one-on-ones, skill gap assessments, and growth planning.
Raise AI fluency across the team by setting expectations for AI-assisted workflows and coaching on AI feature definition and evaluation.
Build a team culture of accountability, collaboration, innovation, and customer focus.
Partner with Product Development leadership to shape AI direction for the product group, including where and in what order to build AI capabilities.
Apply company evaluation, release, and responsible AI standards; review team evaluations for coverage and rigor.
Monitor AI quality and cost against agreed thresholds and raise risks and trade-offs to leadership early.
Contribute requirements for emerging AI protocols, including MCP and AI agents, in partnership with Engineering on data, actions, and permissions to expose.
Build working prototypes to validate concepts with dealers and internal stakeholders.
Be accountable for delivery across the product group with Engineering and UX leads from concept through launch.
Engage Engineering as a technical peer and weigh performance and implementation trade-offs early.
Partner with Engineering to prioritize stability, reliability, performance, and security alongside new features.
Step in as an individual contributor on critical initiatives when needed.
Coordinate dependencies with other product managers and product leaders across product groups.
Partner with Marketing, Sales, Customer Success, Support, and Operations on launch readiness, enablement, and post-release analysis.