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.