Senior Product Manager

Overview

Own the Onboarding Infra platform at Razorpay, the layer under every merchant's first mile, covering sign-up and identity, KYC and verification, workflow and state systems, and the rails for agentic onboarding.

What you'll do

• Own the Onboarding Infra roadmap and its outcomes: compliance, verification coverage and accuracy, latency, reliability and cost per verification, tied back to merchant activation.
• Write PRDs and API specs engineers can build from: data models, state transitions, failure modes, idempotency, retries and SLAs.
• Review tech specs and design docs as a peer, and make the call on build-versus-buy, sync-versus-async and consistency tradeoffs.
• Turn regulation into system design with Compliance, Legal and Risk: RBI KYC directions, CKYC and the DPDP Act. Keep Razorpay audit-ready.
• Pick and manage verification partners (registries, bureaus, video KYC and data providers) on coverage, accuracy, latency, uptime and cost. Design the fallbacks when one fails.
• Build the rails for agentic onboarding: expose verification and workflow capabilities as clean tools an AI agent can call safely, with evals, guardrails and human review where risk demands it.

What you'll need

• 4 to 8 years of product management.
• At least 2 years owning a platform, API or infrastructure product.
• An engineering foundation: a degree in computer science or engineering is not a mandate; ideally 2+ years as a software engineer, solutions architect or similar before moving into product.
• Reads and writes API specs (REST, OpenAPI) and designs contracts other teams depend on.
• Understands distributed-systems basics: event-driven architecture and queues, workflow orchestration, idempotency, retries, eventual consistency and state rollback.
• Holds their own in design reviews: data models, service boundaries, latency budgets, SLOs and failure modes.
• Reads observability data (dashboards, traces, logs) and can triage an incident alongside engineers.
• Fluent in SQL; analyses funnels and system data without waiting on an analyst.
• Knows the basics of PII handling, encryption, access control and data vaulting.
• Has shipped or prototyped with LLMs and agents: tool calling, agent orchestration, evals and guardrails.
• Uses AI tools daily in their own work: specs, analysis, prototyping.
• Earns the trust of principal and staff engineers through technical judgment.
• Works well with Compliance, Legal, Risk and external partners, and turns ambiguous regulation into crisp requirements.
• Writes clear, short docs that end the debate.

Nice to have

• Fintech, payments, banking, lending or identity experience.
• Built or run KYC, AML, identity verification, onboarding or risk platforms.
• Working knowledge of India's KYC stack: CKYC, video KYC, DigiLocker, and PAN, GSTIN and Udyam verification.
• Has been through RBI regulatory programs or audits, or DPDP Act compliance work.
• Identity and auth experience: OAuth, SSO, OTP login and account security.
• Managed external vendors against SLA-backed contracts.
• Founder or early-stage experience building infrastructure from zero.

Details

• Location: Bengaluru.