Zerodha Fund House
Enabling the Next Generation of Indian Investors
At Zerodha Fund House, we are redefining the mutual funds landscape to create simple, transparent, and cost-effective investment solutions for millions of Indians. Built by the pioneers behind Zerodha Broking Ltd and Case Platforms Ltd, we are on a mission to empower the next 10 crore investors in India to participate in and grow the capital markets.
We are expanding our team and seeking passionate, analytical, and detail-oriented individuals to join us.
Key Responsibilities
Own the end-to-end product lifecycle - discovery, definition, delivery, launch, and continuous improvement - across both investor-facing journeys and core internal financial systems.
Design systems and workflows that reduce manual intervention, improve accuracy of financial processes, and maintain strong auditability and compliance readiness.
Foster strong cross-functional collaboration to deliver high-quality, scalable product outcomes.
Drive release cycles and product execution by aligning stakeholders, while prioritizing initiatives based on customer pain points, business impact, risk, and engineering effort.
Identify opportunities where automation, AI, or ML can meaningfully improve efficiency, accuracy, or investor experience (e.g., onboarding validation, reconciliation, fraud signals, anomaly detection).
Leverage AI-assisted development tools to prototype workflows, write queries/scripts, test integrations, and support lightweight code deployments for faster experimentation and validation of product ideas.
Use data, experiments, and user insights to iterate and improve product performance.
Track trends, regulatory expectations, and competitive developments in the mutual fund and fintech ecosystem.
2–4 years of product management experience, preferably in fintech, wealth-tech, payments, or SaaS platforms involving complex workflows or integrations.
Strong ability to translate business and operational problems into clear product requirements, specifications, and prioritization decisions backed by impact and trade-offs.
Comfort working closely with engineering teams, able to understand APIs, data flows, system constraints, and participate meaningfully in technical discussions.
Exposure to AI/ML-enabled products or AI-assisted workflows, experience using AI tools for prototyping, analysis, or accelerating product discovery is strongly preferred.
Demonstrated ability to influence cross-functional stakeholders and align teams across Technology, Operations, Compliance, and Design.
Strong execution discipline, detail-oriented, organized, and able to manage multiple initiatives in parallel without losing focus on outcomes.
Understanding of the mutual fund, investing, or financial services ecosystem is a strong plus.