Product Manager

What we are looking for:

• ? 4+ years of work experience in a product management role, preferably in fintech,
• lending, or credit products
• ? Experience with product-led journeys for financial products, ideation and funnel
• improvements
• ? Nice to have: Proven experience building lending or credit product flows, loan
• origination journeys, underwriting experiences, and repayment flows in Indian
• digital finance. Deep understanding of the lending ecosystem, customer behavior,
• RBI/NBFC regulatory requirements, FLDG norms, KYC/AML compliance, and Indias
• credit infrastructure
• ? Good track record in designing product solutions to solve business problems.
• Obsessed with providing the highest quality product and experience to the
• customer
• ? Ability to create a strategic product roadmap to achieve business objectives and get
• buy-ins from senior stakeholders. Effectively use 80/20 to identify
• projects/initiatives with biggest impact
• ? Experience in working with Engineering to drive the product roadmap. Ability to
• organize, manage, and prioritize tasks with engineering through multiple product
• release cycles
• ? Strong analytical skills with hands-on experience working with large datasets;
• proficiency in SQL, Python, and BigQuery for data analysis, experimentation, and
• insight generation. Comfortable working directly with data pipelines and BI tools to
• drive data-informed decisions
• ? Experience in leading cross-functional teams in delivery of new products or services
• ? Ability to work in a fast-paced environment where the requirements are constantly
• changing
• ? Sound understanding of compliance and regulatory requirements in the Indian
• lending landscape including RBI guidelines, Fair Practices Code, digital lending
• norms, data localization, and privacy obligations (DPDPA). Ability to embed
• regulatory thinking into product design from day one
• ? High ownership mindset with strong accountability for outcomes, especially in a
• sensitive data environment. Experience handling PII, financial data, and credit
• bureau data responsibly, with a solid grasp of data governance and security best
• practices
• ? Fair understanding of AI/ML workflows and the ability to collaborate with data
• science teams to build AI-native product features such as smart underwriting,
• personalized loan offers, intelligent nudges, and conversational loan servicing.
• Curiosity to leverage LLMs and generative AI in building next-gen lending
• experiences

As a Product Manager you will:

• ? Develop a deep understanding of your product area -lending flows, credit
• lifecycle, underwriting logic, and the broader Indian lending ecosystem -and
• translate that into impactful product decisions
• ? Conduct in-depth user research to understand user needs, pain points, and
• behaviors.
• ? Use data, metrics and qualitative customer inputs to define the product roadmap
• for the short, medium and long term.
• ? Own the product/business metrics for features & product releases
• ? Create quality PRDs, work and with Engineering and UI/UX team to deliver product
• releases with top notch app experiences.
• ? Constantly analyse the product performance against ROI, KPIs, and other metrics
• to improve performance.
• ? Work hands-on with large datasets using SQL, Python, and BigQuery to analyze
• user behavior, monitor product health, run experiments, and generate actionable
• insights.
• ? Collaborate with different teams and senior leadership to drive the product
• agenda.
• ? Ensure all product features and flows adhere to applicable regulatory frameworks
• -RBI digital lending guidelines, Fair Practices Code, KYC/AML norms, and DPDPA.
• Work closely with the legal and compliance teams to proactively identify and
• mitigate regulatory risks before they become blockers.
• ? Manage and govern access to sensitive customer data (PII, financial records,
• bureau data) with strong data stewardship practices. Drive privacy-by-design
• principles across product development.
• ? Partner with data science and ML teams to ideate, prioritize, and ship AI-native
• lending features -such as intelligent credit decisioning, personalized offer
• engines, risk-based pricing, and AI-powered customer servicing with a keen
• understanding of model inputs, outputs, and product trade-offs