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 India's

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