Product Analyst

Responsibilities & Key Deliverables

We are looking for a Program Manager to lead and coordinate AI projects specifically in the used vehicle domain. This role is ideal for a technically adept individual who understands the nuances of both AI/ML and the automotive sector. You will be responsible for overseeing the end-to-end execution of AI initiatives — from scoping and stakeholder alignment to delivery and post-deployment optimization. This is a Bangalore-based role.

Key Responsibilities:

• Project Ownership: Lead cross-functional AI initiatives across product, engineering, data science, and business teams, ensuring alignment with company goals.
• AI Delivery: Manage timelines and dependencies for machine learning models (e.g., price prediction, vehicle condition scoring, fraud detection).
• Stakeholder Collaboration: Serve as a liaison between business stakeholders (e.g., product, sales, marketing) and technical teams (data scientists, ML engineers).
• Roadmap Planning: Define program roadmaps, OKRs, and delivery milestones across multiple AI-driven products and platforms.
• Execution Excellence: Implement agile methodologies, manage sprints, retrospectives, and drive issue resolution.
• Risk Management: Identify risks, develop mitigation strategies, and proactively manage changes in project scope or timelines.
• Market Understanding: Stay informed on the used car market dynamics, customer behaviour, and AI trends to shape product direction.
• Reporting & Communication: Provide regular updates to leadership on program status, KPIs, and blockers.

Must have requirements

• ~3 years of program/project management experience in tech or AI-centric organizations.
• Proven experience leading AI/ML initiatives (preferably in automotive, fintech, or e-commerce domains).
• Familiarity with AI/ML lifecycle – data collection, labeling, model training, evaluation, deployment, and monitoring.
• Strong understanding of the used car ecosystem – pricing, inventory, inspection, marketplaces, etc.
• Excellent communication, organizational, and stakeholder management skills.
• Proficiency with project management tools (Jira, Asana, Notion, etc.).

Nice-to-Have requirements

• Technical background (B.Tech/BE in Computer Science or related field); MBA is a plus.
• Exposure to AI compliance, explainability, or model governance.