Product Manager

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 : 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

• 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)
• Translate user insights and business goals into clear problem statements and product specifications for engineering, design, and AI / ML teams
• Maintain lean PRDs, experiment docs, and success criteria for your product area
• Contribute to the product roadmap by balancing user impact, technical feasibility, and business outcomes
• Own end-to-end delivery of features related to interview prep—mock interviews, question banks, AI-powered feedback, personalized learning paths, and performance analytics
• Drive cross-functional teams (engineering, design, data science, content) to ship high-quality experiences with minimal oversight
• Break down ambiguous AI opportunities (e.g., "make feedback more actionable," "improve answer evaluation accuracy") into concrete experiments and product bets
• Manage backlogs, write detailed user stories, and ensure smooth sprint execution
• Partner with data science / ML teams to define model requirements, evaluation criteria, and feedback loops for AI features (answer evaluation, personalized recommendations, difficulty progression)
• Design guardrails and quality checks to ensure AI-generated feedback is accurate, helpful, and fair
• Run experiments to validate AI feature effectiveness and user satisfaction
• Define product instrumentation and success metrics for the Interview Prep product (completion rates, practice frequency, time-to-improvement, interview success rate)
• Build dashboards and analyze quantitative data (SQL) to uncover usage patterns and bottlenecks
• Run A / B tests on feature variations, content formats, and AI feedback styles to optimize outcomes
• Generate qualitative insights through user interviews, surveys, and session recordings

Qualifications

Nice-to-Haves

Benefits :