Associate Product Manager

Company DescriptionUpivot 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 DescriptionYou'll be our: Associate Product Manager - Interview Prep ProductYou'll be based at: BengaluruYou'll be aligned with: Senior Product Manager - AI ProductsYou'll be a member of: Product Management TeamWe'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 UpivotMap 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 teamsMaintain lean PRDs, experiment docs, and success criteria for your product areaContribute to the product roadmap by balancing user impact, technical feasibility, and business outcomesOwn end-to-end delivery of features related to interview prep—mock interviews, question banks, AI-powered feedback, personalized learning paths, and performance analyticsDrive cross-functional teams (engineering, design, data science, content) to ship high-quality experiences with minimal oversightBreak down ambiguous AI opportunities (e.g., "make feedback more actionable," "improve answer evaluation accuracy") into concrete experiments and product betsManage backlogs, write detailed user stories, and ensure smooth sprint executionPartner 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 fairRun experiments to validate AI feature effectiveness and user satisfactionDefine 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 bottlenecksRun A/B tests on feature variations, content formats, and AI feedback styles to optimize outcomesGenerate qualitative insights through user interviews, surveys, and session recordingsQualifications1-3 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 succeedData-driven mindset: Comfortable with SQL, analytics tools, and using data to drive decisionsStructured problem-solving: Ability to break down complex, ambiguous problems into actionable plansStrong communication skills: Clear written and verbal communication to articulate ideas, specs, and rationale across teamsOwnership mentality: Bias for action, accountability for outcomes, and ability to work independentlyTechnology grounding: Understanding of how software products are built, basic familiarity with AI/ML conceptsNice-to-HavesExperience in EdTech, career services, or assessment platformsPrior exposure to AI/ML product development or LLM-based productsBackground in product management education/training or coachingFamiliarity with product analytics tools (Mixpanel, Amplitude, Google Analytics)Experience running user research and usability testsUnderstanding of interview frameworks (CIRCLES, STAR, etc.) and PM interview best practicesBenefits:Complete Remote Culture - Work from HomePart of the Core Founding Team Building AI Native Product.