Senior Product Manager- Post-Sales Platform & AI Automation

Ovii's Interpretation of the Role

Senior Product Manager leading post‑sales platform and AI automation initiatives at Tekion. Owns roadmap execution, stakeholder discovery, and AI‑driven workflow automation while partnering closely with engineering and global teams.

Role Snapshot

• Own product roadmap for post‑sales initiatives
• Drive AI agent deployment and workflow automation
• Partner with engineering squads on requirements and delivery
• Define and track product KPIs and dashboards
• Coordinate cross‑functional stakeholders globally

Must-Have Requirements

• Product Management
• B2B SaaS domain knowledge
• Post‑sales workflow expertise
• SQL / data analysis
• JIRA
• Confluence
• Salesforce
• Written & verbal communication
• product management in B2B SaaS
• post‑sales domain knowledge
• Bachelor's degree in engineering, Computer Science, or related technical discipline
• Master's degree in engineering, Computer Science, or related technical discipline
• MBA or equivalent management degree (PGDM accepted)

Nice-to-Have Signals

• AI/ML product deployment
• Agile/Scrum execution
• Enterprise tooling platforms (Service Cloud, Gainsight, Zendesk, ServiceNow, low‑code automation)
• Internal enterprise tooling experience
• Automotive/DMS exposure
• internal enterprise tooling
• platform familiarity
• AI/ML certifications
• Product Management certifications (e.g., Product School, AIPMM)
• Agile methodology certifications
• automotive retail technology
• DMS ecosystems

Work Setup

• Location: Pleasanton, United States
• Work mode: ONSITE
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility

What You'll Likely Work On

• Define and execute quarterly roadmaps for post‑sales platforms across PS, CV, and Support.
• Conduct structured discovery with business stakeholders, translate insights into PRDs and user stories.
• Identify AI automation opportunities such as intelligent ticket routing and delivery accelerators, and work with engineering to ship them.
• Serve as the primary product liaison for engineering squads, handling sprint planning, backlog grooming, and acceptance criteria.
• Own product KPIs, building dashboards in Databricks, Salesforce, or other BI tools to monitor adoption and automation rates.
• Align with India‑based product teams and global business units, delivering roadmap reviews and escalation briefs for senior leadership.
• Manage backlog and feature lifecycle for internal tooling platforms, influencing third‑party integrations and vendor trade‑offs.
• Lead end‑to‑end product launches, including UAT coordination, training material creation, change communications, and post‑release adoption tracking.

Good Fit If You Have

• Experience shipping AI‑powered features or LLM‑based assistants.
• Background building internal enterprise tooling for operations or support teams.
• Familiarity with low‑code automation platforms such as UnifyApps.