How you can help make a better world of work
As an Engineer on Perform & Insights Coach, you’ll build AI‑powered coaching experiences that help managers and employees turn insights into confident action—directly supporting Culture Amp’s mission to create a better world of work. Coach combines People Science and AI to deliver a personalised coaching assistant, and is being implemented across the Culture Amp platform (including Engage/Perform touch points).
As part of this team of amazing humans
You’ll join a cross‑functional product team in Coach, working with product, design, data science, and platform partners to evolve a trusted, secure coaching experience grounded in proven methodologies and evidence. You will collaborate closely with a dedicated front‑end engineer to balance the team’s overall skills while contributing across the full stack where needed.
You will
- Build and ship features end‑to‑end—discovery, implementation, testing, launch, iteration—primarily in Python for Coach services, and step into TypeScript/React/Next.js UI work when it helps unblock outcomes.
- Implement robust APIs and integrations that power Coach’s unified, streaming chat experiences, focusing on clear contracts, reliability, and observability.
- Use type‑safe BFF patterns (e.g., Next.js API routes) to deliver resilient data flows between back end services and front end apps, reducing integration defects.
- Contribute to AI‑enabled product capabilities (e.g., RAG, agent/tooling integration, evaluation signals) with strong safety, privacy, and telemetry practices.
- Improve reliability and performance with careful handling of streaming, token efficiency, idempotent endpoints, and production monitoring/alerting
- Raise the bar for quality through pairing, thoughtful code reviews, small design docs/RFCs, pragmatic testing, and leaving systems better than you found them.
You have
- Proven technical ability delivering features in production services using Python (FastAPI or similar), with good fundamentals in testing, observability, and operational hygiene.
- Full‑stack capability and willingness to jump where needed—comfortable collaborating in TypeScript/React/Next.js and adopting shared front‑end patterns and components when it accelerates delivery.
- Practical familiarity with AI product development (or a strong desire to learn): integrating RAG/agents/tooling, prompt work, and guardrails/evals into product workflows with a safety‑first mindset.
- Ability to break down tasks, communicate trade‑offs, and work independently while keeping collaborators aligned—bringing clarity in ambiguous spaces consistent with expectations at this level.
- Clear, kind communication and strong collaboration with engineers, product managers, people scientists, designers, and data scientists.
You are
- A pragmatic problem solver who enjoys decomposing ambiguous problems and iterating toward outcomes.
- Comfortable working across the stack—happy to dive into Python services, data models, and infra touch points, and to pair with FE on integration/UI details when helpful.
- Curious and AI‑interested, motivated by shipping trustworthy features that improve how people work.
- A supportive teammate who learns fast through feedback, mentors peers through pairing/code review, and invests in team health and sustainable quality.
