Senior Product Manager- Post-Sales Platform & AI Automation

Basic 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 India-based teams 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.