Job Summary

Ship AI-native product experiments that improve conversion and retention. We are hiring a Fullstack Product Engineer to own product experiments from user problem through production readback. Include Product engineering is cool in the subject line. The role rewards fast learning and solid engineering judgment, not raw code volume.

Responsibilities

- Turn user problems and product hypotheses into scoped experiments.
- Build production features across the front end, back end, data layer, and integrations.
- Define instrumentation before launch and read the result after launch.
- Improve activation, conversion, retention, reliability, and developer speed.
- Use AI for exploration, implementation, tests, debugging, and documentation with explicit QA.
- Make practical architecture and security tradeoffs, then document them.
- Speak with users and partner with growth, design, and operations when the product needs context.

What success looks like
- In 30 days, you understand the product, users, stack, and baseline funnel, and you ship a production improvement.
- By 60 days, you own a full experiment from problem definition through measurement and can explain the result.
- By 90 days, you run a reliable experiment cadence and have improved a meaningful activation, conversion, retention, or reliability metric.

Evidence we need to see
- Two production products or features with your exact scope and technical ownership.




- One product or growth experiment with a measured result.
- A clear example of an architecture, reliability, security, or incident tradeoff.
- A concrete AI development workflow, including tests and human review.
- Evidence that you can move from an ambiguous user problem to a stable production result.

This role is not
- A ticket-only implementation role.
- A role for shipping AI-generated code without tests or review.
- A research-only seat with no production ownership.
- A role that optimizes speed while ignoring users, reliability, or measurable outcomes.

How the process works
1. Application and evidence review.
2. A focused product and engineering screen.
3. The published Beat Claude engineering challenge.
4. A live review of your solution, tradeoffs, and validation plan.
5. References and final decision.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Fullstack Product Engineer (India)
🏢 Single Grain
📍 India