Product Manager II
AI Summary
Key Responsibilities Drive end-to-end product lifecycle – Own discovery, definition, design, launch, adoption, and iteration for assigned Core CRM capabilities; define success metrics and KPIs; use data to prioritize investments, evaluate trade-offs, and guide post-launch improvements.
About this role
Key Responsibilities
Drive end-to-end product lifecycle – Own discovery, definition, design, launch, adoption, and iteration for assigned Core CRM capabilities; define success metrics and KPIs; use data to prioritize investments, evaluate trade-offs, and guide post-launch improvements.
Conduct user research and discovery – Conduct customer interviews, persona and workflow analysis to deeply understand dealership processes, sales workflows, and customer pain points; translate insights into product requirements.
Partner with cross-functional teams – Collaborate with Engineering, Design, Data, GTM, and Customer Success to align on scope, timelines, and execution; lead regular sync meetings and champion product decisions across functions.
Write clear product specifications – Document requirements, acceptance criteria, and user stories in PRDs and design specs that guide engineering and design execution; ensure clarity and alignment before development begins.
Monitor adoption and customer health – Track feature adoption, customer engagement, and usage trends; identify adoption barriers and work with Success teams on enablement; drive continuous improvement based on real-world usage patterns.
Gather and synthesize customer feedback – Establish feedback loops through customer interviews, support tickets, and product analytics; identify patterns and prioritize opportunities with highest customer and business impact.
Drive business impact and ROI – Define clear success metrics tied to business outcomes (revenue, retention, adoption); regularly report on product performance; demonstrate and communicate product value to leadership and customers.
Lead sprint planning and agile execution – Facilitate sprint planning, backlog grooming and refinement; ensure teams have clarity on priorities and dependencies; maintain sustainable team velocity and execution quality standards.
Requirements
3+ years of Product Management experience owning customer-facing SaaS products
Advanced degree (MBA or Masters) from a top-tier institution.
Strong product and business acumen with ability to operate in complex, multi-stakeholder environments
Analytical and data-driven, with comfort in leveraging dashboards, metrics, and usage insights for product decision-making and continuous improvement
Excellent written and verbal communication
Experience partnering closely with Engineering, Design, Data, and GTM teams
Experience building scalable systems and processes
Demonstrated experience using Agile methodologies
Preferred Skills
AI/ML product management experience
Experience in the automotive retail industry or with dealer/OEM data
Prior experience with CRM, sales enablement, or lead management products
Track record of shipping products that drive measurable customer adoption and revenue impact
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