Senior Product Manager

Senior Product Manager

KEY RESPONSIBILITIES 

• Product Roadmap Execution: Own the delivery roadmap for TOC initiatives across PS, CV, and Support. Break down strategic priorities into quarterly plans, sprints, and clearly scoped deliverables. 

• Requirements & Discovery: Conduct structured discovery with business stakeholders across PS, CS, and Support to document pain points, usage patterns, and workflow gaps. Translate insights into detailed PRDs and user stories. 

• AI & Workflow Automation: Identify and drive AI agent deployment opportunities — including intelligent ticket routing, PS delivery accelerators, and automated customer health signals — in close partnership with engineering. 

• Engineering Collaboration: Serve as the primary product interface for engineering squads. Facilitate sprint planning, backlog grooming, clarify requirements, and sign off on acceptance criteria and QA. 

• Data & Metrics: Own product KPIs. Build dashboards in Databricks, Salesforce, or BI tools to monitor adoption, automation rates, and time-to-value across post-sales workflows. 

• Stakeholder Alignment: Coordinate with US-based product leadership and global business teams. Prepare clear written updates, roadmap reviews, and escalation briefs for senior leadership. 

• Tool & Platform Management: Manage backlog and feature lifecycle for internal tooling platforms. Contribute to decisions on third-party integrations and vendor-platform trade-offs relevant to the CIO portfolio. 

• Go-Live & Enablement: Support end-to-end product launches including UAT coordination, training material preparation, change communications, and adoption tracking post-release. 

 

REQUIRED QUALIFICATIONS 

• Experience: 5-7 years of product management experience in B2B SaaS, with direct exposure to professional services, customer success, or support tooling domains. 

• Post-Sales Domain Knowledge: Working understanding of PS delivery workflows, customer onboarding, CSM tooling, ticket management, SLA tracking, and escalation processes. 

• Technical Acumen: Strong ability to partner with engineering on system architecture, API integrations, and data flows. SQL familiarity or comfort working with data analysts to define KPIs and pull insights. 

• Execution & Ownership: Track record of driving product features end-to-end — from discovery to launch — with measurable outcomes and a bias for action. 

• Written & Verbal Communication: Strong documentation skills (PRDs, decision memos, stakeholder updates). Confident communicator across time zones with US-based leadership and cross-functional teams. 

• Analytical Tools: Experience using JIRA, Confluence, Salesforce, or similar tools for backlog management, requirements tracking, and metric reporting. 

• Cross-Functional Collaboration: Demonstrated effectiveness working in a matrixed global environment with engineering, design, operations, and senior leadership stakeholders. 

PREFERRED QUALIFICATIONS 

• AI/ML Product Deployment: Experience shipping AI-powered features or workflow agents — such as LLM-based assistants, auto-classification systems, or intelligent routing — into enterprise product environments. 

• CIO / Internal Tools Experience: Prior experience building internal enterprise tooling in a product management capacity, especially for operations, delivery, or support teams at scale. 

• Platform Familiarity: Knowledge of platforms like Salesforce Service Cloud, Gainsight, Zendesk, ServiceNow, or low-code automation tools (e.g., UnifyApps) in a product or implementation context. 

• Automotive / DMS Domain: Exposure to automotive retail technology or DMS ecosystems is a plus but not required. 

• Agile Delivery: Hands-on Agile/Scrum experience — running standups, sprint reviews, backlog grooming — in a fast-paced engineering-integrated team. 

EDUCATION 

• Bachelor’s or master’s degree in engineering, Computer Science, or a related technical discipline from a recognized institution — required. 

• MBA or equivalent management degree (PGDM accepted) from a recognized institution — required. 

• Certifications in AI/ML, Product Management (e.g., Product School, AIPMM), or Agile methodologies — preferred. 

ABOUT TEKION 

Tekion is a high-growth, cloud-native enterprise software company transforming the automotive retail industry through its ARC platform — the industry's first cloud-native DMS and AI-powered suite of dealer solutions. Backed by leading investors and serving dealerships across North America and beyond, Tekion is redefining how dealers operate, sell, service, and engage customers. Our CIO org drives internal technology innovation, building platforms and tools that power Tekion's post-sales delivery ecosystem. 

Experience Level

Senior Level