Senior Product Engineer

About DataBrain
DataBrain is an AI-powered embedded analytics platform that helps modern software companies ship powerful in-product analytics, dashboards, and reporting in days instead of months. We work with SaaS teams from fast-growing startups to global enterprises, helping them unlock new revenue and improve customer experience with world-class analytics.

About the role
We’re looking for a Senior Product Engineer to own our embed: guest tokens, tenancy, filters, dashboard chrome, exports, and the plugin customers drop into their apps. You’ll sit with technical customers, judge whether a request is feasible on this product, and decide if it becomes a durable capability, a paid exception, or a no — then ship it. This is not a PM role and not a ticket-taking SWE role. You own this surface end to end.

What you’ll do

• Own the embed contract across the stack: API tokens, tenant isolation, filters, pivot, PDF/CSV, dashboard chrome, and plugin APIs.
• Hear customer requirements yourself — CTOs and product engineers talking in tokens, RLS, SDK props, and warehouse constraints — and turn them into a clear problem statement.
• Evaluate feasibility on this product: can we do it on the embed, tenancy, and query layer without lying, or is it a different product?
• Decide primitive vs paid exception vs no, even when the one-off is technically feasible. Sequence that backlog; no customer-named forks.
• Design and ship the API contracts, data models, and UI for data-heavy embed surfaces: tables, filters, charting, and configuration.
• Improve performance, reliability, and fail-closed tenancy — a scoping bug is a security incident, not a UX issue.
• Write the brief for what you are about to build, ship it in React/TypeScript and Node/TypeScript, and tell the team what actually landed.
• Partner with the founders on this surface. Your no will not get reversed in Slack.

What we’re looking for

• 5-8 years of experience building web applications in a product company, including a surface you owned (API + UI + the customer who used it).
• Strong proficiency in React and TypeScript, plus deep experience with Node.js (or Python) and REST APIs.
• Proven ability to design and ship complex, data-heavy product experiences across frontend and backend.
• Comfort evaluating technical customer requirements: you can tell a real embed/tenancy constraint from a wishlist, and you can say no.
• Strong understanding of databases, data modeling, and multi-tenant data access; analytical databases like ClickHouse are a plus.
• Track record of debugging production issues, improving performance, and treating isolation and auth as correctness properties.
• High ownership and product judgment: UX details, edge cases, tradeoffs, and shipping capabilities — not one-off custom work.
• Comfortable making architectural decisions, breaking down ambiguous problems, and driving work independently in a fast-moving startup.

Nice to have

• Embedded analytics, BI, a public SDK/web component, or multi-tenant SaaS you shipped and supported.
• Hands-on experience with Python/FastAPI in production.
• Experience with charting/visualization libraries.
• You’ve been the engineer customers message when something is wrong, and you turned that into a product change, not a pile of hotfixes.
• Prior startup experience or working closely with founders and customers.

How we work

• Location: Chennai (preferred), with overlap to IST working hours. Some overlap with US customer hours for calls.
• Small, senior team with high ownership and direct collaboration with the founders.
• Opportunity to influence architecture, product direction, and early culture while owning a real product surface.