Associate Product Manager

Upivot; Bengaluru; Remote; INR 600,000 - 1,000,000; Full time

Benefits offered by this job

Complete Remote Culture – Work from Home

Opportunity to be part of the Core Founding Team

Job summary

A leading AI-driven company in Bengaluru is seeking an Associate Product Manager to lead the development of an AI-native interview prep platform for Product Managers. You will map user journeys, manage product specifications, and collaborate with cross-functional teams. Ideal candidates have 1-3 years of experience in product management, a data-driven mindset, and strong communication skills. This full-time role offers a unique opportunity to impact career trajectories.

Qualifications

• Genuine interest in understanding PM interview challenges.
• Ability to break down complex problems into actionable plans.
• Understanding of how software products are built.
• 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

Responsibilities

• Map the complete PM interview journey.
• Translate user insights into product specifications.
• Drive cross-functional teams to ship high-quality experiences.
• Define product instrumentation and success metrics for the product.
• Partner with data science/ML teams on model requirements.
• Drive cross‑functional teams (engineering, design, data science, content) to ship high‑quality experiences with minimal oversight
• Break down ambiguous AI opportunities 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
• 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
• 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

Skills

User empathy

Data-driven mindset

Strong communication skills

Ownership mentality

Structured problem-solving

Ownership mentality

Technology grounding

Education

1-3 years of product management experience or relevant experience

Tools

SQL

Analytics tools

Mixpanel

Amplitude

Google Analytics

Job description

Building Upivot — AI PM Interview Prep | 3,000+ real questions decoded | Ex-Amazon | I help PMs land roles faster

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

• 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

• 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

• Experience in EdTech, career services, or assessment platforms
• Prior exposure to AI/ML product development or LLM‑based products
• Background in product management education/training or coaching
• Familiarity with product analytics tools (Mixpanel, Amplitude, Google Analytics)
• Experience running user research and usability tests
• Understanding of interview frameworks (CIRCLES, STAR, etc.) and PM interview best practices
• Complete Remote Culture – Work from Home
• Part of the Core Founding Team Building AI Native Product.

Seniority level

• Entry level

Employment type

• Full‑time

Job function

• Product Management and Marketing

Industries

• E‑Learning Providers