Associate Product Manager (Urgent)

Company Description

Upivot is redefining career transformation by bridging the gap between learning and earning. Our AI-driven ecosystem empowers professionals through personalized mentorship, real-world project experience, pre-assessment testing, and seamless job placement. Currently focused on Product Management and Leadership domains, we're building AI-native products that don't just teach—they transform careers.

Role Description

You'll be our : Associate Product Manager - Interview Prep Product

You'll be based at : Bengaluru

You'll be aligned with : Senior Product Manager - AI Products

You'll be a member of : Product Management Team

We're looking for an Associate PM who gets excited about building for Product Managers.

You'll own the Interview Prep product—an AI-native platform that helps PMs crack their dream interviews through personalized practice, real-time feedback, and data-driven insights.

This isn't just another EdTech product. You'll be working at the intersection of AI / ML, career development, and product education—building experiences that genuinely move the needle on someone's career trajectory.

What You'll Do at Upivot

1. Map the complete PM interview journey—understanding pain points, current prep workflows, and success patterns across different interview types (behavioral, product design, metrics, strategy, technical)

2. Translate user insights and business goals into clear problem statements and product specifications for engineering, design, and AI / ML teams

3. Maintain lean PRDs, experiment docs, and success criteria for your product area

4. Contribute to the product roadmap by balancing user impact, technical feasibility, and business outcomes

5. Own end-to-end delivery of features related to interview prep—mock interviews, question banks, AI-powered feedback, personalized learning paths, and performance analytics

6. Drive cross-functional teams (engineering, design, data science, content) to ship high-quality experiences with minimal oversight

7. Break down ambiguous AI opportunities (e.g., "make feedback more actionable," "improve answer evaluation accuracy") into concrete experiments and product bets

8. Manage backlogs, write detailed user stories, and ensure smooth sprint execution

9. Partner with data science / ML teams to define model requirements, evaluation criteria, and feedback loops for AI features (answer evaluation, personalized recommendations, difficulty progression)

10. Design guardrails and quality checks to ensure AI-generated feedback is accurate, helpful, and fair

11. Run experiments to validate AI feature effectiveness and user satisfaction

12. Define product instrumentation and success metrics for the Interview Prep product (completion rates, practice frequency, time-to-improvement, interview success rate)

13. Build dashboards and analyze quantitative data (SQL) to uncover usage patterns and bottlenecks

14. Run A / B tests on feature variations, content formats, and AI feedback styles to optimize outcomes

15. Generate qualitative insights through user interviews, surveys, and session recordings

Qualifications

• 1-3 years of product management experience (or relevant experience in analytics, design, or tech roles with strong product thinking)
• User empathy : Genuine interest in understanding PM interview challenges and building experiences that actually help people succeed
• Data-driven mindset : Comfortable with SQL, analytics tools, and using data to drive decisions
• Structured problem-solving : Ability to break down complex, ambiguous problems into actionable plans
• Strong communication skills : Clear written and verbal communication to articulate ideas, specs, and rationale across teams
• Ownership mentality : Bias for action, accountability for outcomes, and ability to work independently
• Technology grounding : Understanding of how software products are built, basic familiarity with AI / ML concepts

Nice-to-Haves

Benefits :

1. Complete Remote Culture - Work from Home

2. Part of the Core Founding Team Building AI Native Product.