Experience
: 3.00 + years
Salary
: INR 3500000.00 / year (based on experience)
Expected Notice Period
: 15 Days
Shift
: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type
: Remote
Placement Type
: Full Time Permanent position(Payroll and Compliance to be managed by: Zero to 1)
(*Note: This is a requirement for one of Uplers client - Zero to 1)What do you need for this opportunityMust have skills required:and adaptability., client-centric approach with grit, Empathetic, End-to-End Product Ownership, Insight-Driven Strategy & Scaling, Ownership, Sequenced Execution, AI, Analytics, B2B, Product Management, AgileZero to 1 is Looking for:
The Role
As a Product Manager at Zero to 1, you'll operate at the intersection of product, data, and analytics. Your mission: drive rapid, insight-first experimentation and build lean, scalable AI-powered systems that deliver real business value through embedded, cross-functional pods.
Key Responsibilities;
- End-to-End Product Ownership Lead the product lifecyclefrom discovery through deliveryby deeply understanding client challenges, defining MVPs, and steering seamless go-to-market and ROI-driven execution within pods.
- Insight-Driven Strategy & Scaling Conduct targeted audits, AI-readiness assessments, and analytics reviews to identify growth levers. Architect and prioritize solutions that scale using minimal resources, maximizing impact.
- Agile, Sequenced Execution Drive feature delivery through agile sprints and embedded feedback loops, iterating
quickly to compound improvements over time.
- Cross-Functional Collaboration Collaborate closely with engineers, data scientists, ML engineers, designers, and
clientsserving as the key conductor orchestrating delivery across product, data, and design.
- Outcome and ROI Focus Champion value measurement by tracking meaningful metrics (e.g., time to insight, prediction accuracy, cost-savings, speed-to-market), and drive accountability toward client outcomes.
- AI-Native Visionary Thinking
Shape AI-first solutionsfrom agentic automation to ML infrastructurethat seamlessly
integrate into client ecosystems and amplify data-driven decision-making.