Associate Product Manager - Mobile

Ambak is building India's most trusted home loan platform - a tech-first, execution obsessed fintech, backed by marquee investors and led by operators from Uber, Axis Bank, PolicyBazaar, Cars24, Freecharge and more. We are transforming how India experiences mortgages, with deep ecosystem partnerships and on-ground precision.

mobile-first

Key Responsibilities:

• Drive mobile product planning and execution alongside senior PMs-focused on app performance, usability, and adoption
• Collaborate with design, engineering, sales, and ops to ship features that simplify complex financial workflows for both consumers and channel partners
• Manage end-to-end mobile product operations, ensuring bugs, crashes, feature requests, and store feedback are triaged and resolved quickly
• Write crisp PRDs, user stories, and mobile-specific workflows, aligning stakeholders across teams
• Conduct interviews with B2C customers and B2B partners to understand distinct needs and convert insights into product decisions
• Dive deep into app analytics tools (Firebase, CleverTap, Mixpanel, etc) to track funnels, cohorts, retention, and behavioral patterns
• Use data to identify friction points, run experiments, and recommend enhancements to improve engagement and conversions
• Support GTM efforts by coordinating with marketing and sales to ensure feature discovery and adoption across user segments

What You Need to Bring:

• 3-5 years of experience in product management, product analytics, mobile strategy, or a tech-adjacent role with strong exposure to mobile applications
• Hands-on experience working with B2C or B2B apps, or ideally both
• Strong analytical mindset with comfort using Excel/Sheets, app analytics platforms, and basic SQL is a plus
• Ability to break down complex problems into structured solutions while keeping the mobile experience intuitive
• Strong communication skills with the ability to work with cross-functional teams across tech, design, and business
• Curiosity, ownership, and a willingness to learn from users, data, and experimentation