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 opportunity?Must 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 lifecycle—from discovery through delivery—by 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
clients—serving 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 solutions—from agentic automation to ML infrastructure—that seamlesslyintegrate into client ecosystems and amplify data-driven decision-making.
What We’re Looking For;
- Experience: 3–8+ years in Product Management, preferably with experience building AI, analytics, or data infrastructure products.
- Technical Fluency: Comfortable navigating data architectures, ML model lifecycles, and analytics tools.
- Analytical Mindset: Strong aptitude for data analysis, structured problem solving, and deriving actionable insights.
- Lean & Agile: Proven track record in rapid experimentation, MVP delivery, and agile iteration.
- Collaborator & Communicator: Skilled at bridging technical and business teams, with the ability to simplify complexity for diverse stakeholders.
- Outcome-Oriented: Driven by results and adept at measuring real impact—beyond just features.
- Partner-Focused: Empathetic, client-centric approach with grit, ownership, and adaptability.
Bonus (Nice-to-Haves)
- Experience in consulting, embedded delivery models, or working within lean, cross-functional pods.
- Hands-on exposure to enterprise-grade AI platforms and data tooling.
- Comfortable navigating ambiguous environments and scaling foundational systems from the ground up.
How to apply for this opportunity?
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!