About DealerOn
We are an online marketing company providing website and agency services to automotive dealerships across North and South America. We are known for our cutting-edge products that streamline the car buying process and provide an experience both shoppers and dealers love. Our business model is working: we were recognized on the Inc. 5000 list of fastest growing companies six years in a row, expanding to over 30 manufacturer relationship, and over 5,000 dealer partners. We are proud of what our company has done, and it’s all due to the talented and diverse team we’ve been lucky enough to assemble.
Job Description
We are seeking a customer-focused, data-driven Senior Product Manager to shape product direction and lead high-impact SaaS initiatives that deliver measurable value for dealerships, their consumers, and our business.
The ideal candidate is a seasoned, technically grounded product manager who balances customer needs, technical feasibility, and business priorities, and who uses AI as a core part of how they work every day. They prototype to validate ideas while collaborating with UX and engineering teams, have sound judgment about where AI belongs in the product, and help peers build the same fluency.
What You’ll Do**Product Strategy & Roadmap
- •Partner with Product leadership to shape the roadmap around company goals and customer needs.
- •Use market trends, competitive insights, customer research, and product data to drive feature prioritization.
- •Balance short-term delivery with long-term platform scalability and product vision.
- •Lead initiatives that improve customer experience, product adoption, operational efficiency, and revenue.
AI-Assisted Product Development
- •Build and test working prototypes to validate concepts with dealers and internal stakeholders.
- •Use AI to accelerate research synthesis, competitive analysis, requirements drafting, and documentation.
- •Define, scope, and measure AI-powered product capabilities, including success criteria, evaluation approaches, accuracy and reliability thresholds, and cost.
- •Define requirements for how DealerOn products connect with AI through protocols such as MCP (Model Context Protocol), partnering with Engineering to determine which data and capabilities to expose to end users and agents.
- •Assess where AI creates real value for dealers and shoppers, and where it introduces risk, before recommending it for the roadmap.
Product Delivery
- •Lead collaboration across Engineering, UX, Marketing, Sales, Customer Success, Support, and Operations from concept through launch.
- •Write clear requirements, user stories, acceptance criteria, and process flows.
- •Facilitate backlog refinement, release planning, and release readiness.
- •Engage with engineering team as a technical peer, weighing performance and implementation trade-offs early so they shape the solution.
- •Drive launches through validation, stakeholder communication, enablement, and post-release analysis.
- •Define success metrics, instrumentation, and KPI tracking with Engineering and Data teams, and monitor adoption, engagement, conversion, and retention to find improvement opportunities.
Customer Discovery
- •Collaborate with UX team for product discovery through customer interviews, workflow analysis, usability testing, and feedback synthesis.
- •Build deep knowledge of dealership operations, automotive retail workflows, digital marketing, and agency workflows.
- •Translate qualitative and quantitative research into unmet needs, workflow improvements, and scalable product opportunities.
Success in This Role Looks Like
- •Earning trust across Product, Engineering, UX, and operational teams.
- •Making decisions that reflect strong customer empathy and measurable business impact.
- •Shortening the path from idea to validated concept by using AI tools to test with stakeholders early.
Required Qualifications
- •Bachelor’s degree or equivalent professional experience in Business, Technology, Marketing, Engineering, Computer Science, or a related field.
- •6+ years of SaaS product management experience, including leading complex initiatives in Agile environments.
- •Technical product management experience, with a working understanding of how websites are built and rendered.
- •Hands-on experience using AI tools such as Claude, ChatGPT, Lovable, Figma AI, etc. to build prototypes, automate workflows, and accelerate product work.
- •Experience defining or contributing to AI-powered product features, including setting success criteria and evaluating output quality, accuracy, and reliability.
- •Strong command of discovery, prioritization, requirements, and success metrics across the full product lifecycle.
- •Proven ability to influence cross-functional stakeholders, with strong analytical, communication, and organizational skills.
- •Demonstrated ability to manage multiple concurrent initiatives and competing priorities, moving fluidly between strate