How you can help make a better world of work
As an Engineer (Full Stack, FE focus) 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 integrations with Perform and Engage.
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, and you’ll help balance the team’s overall skill mix with strong front‑end capability while contributing across the stack where needed.
You will
- Build and ship features end‑to‑end—discovery, implementation, testing, launch, iteration—primarily in React/TypeScript and Next.js, and step into Python services when needed to unblock outcomes.
- Implement intuitive, performant UI for AI chat experiences (including streaming), with a focus on accessibility, error handling, and observability that scales as Coach expands across surfaces.
- Use type‑safe BFF patterns (Next.js API routes) to create reliable, observable data flows between front end apps and back end services, reducing integration defects.
- Collaborate with back‑end and data science partners to integrate AI‑enabled capabilities (e.g., RAG, agents/tools, evals/guardrails) into trustworthy, privacy‑aware product workflows.
- Improve reliability and performance with careful handling of streaming and token efficiency, clear API contracts, and production monitoring/alerting as Coach consolidates into a single endpoint for all surfaces.
- Raise the bar for quality via pairing, thoughtful code reviews, small design docs/RFCs, and pragmatic testing, leaving systems better than you found them.
You have
- Proven technical ability building production React/TypeScript UIs in Next.js, with experience using a design system, performance tuning, and accessibility best practices.
- Willingness and capability to work across the full stack—comfortable collaborating on Python services and APIs to keep outcomes moving, even if your strength is front end.
- Practical familiarity with AI‑enabled product development (or a strong desire to learn), including integrating RAG/agents/tooling and evals/guardrails into product workflows with a safety‑first mindset.
- Ability to break down tasks, communicate trade‑offs, and work independently while keeping collaborators aligned in an evolving, ambiguous space 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 that customers feel.
- A front‑end craftsperson who cares about UX quality, accessibility, and performance.
- Curious about AI, motivated by shipping trustworthy features that improve how people work across Perform and Insights.
- A supportive teammate who learns fast through feedback, mentors peers through pairing/code review, and invests in a healthy, inclusive team culture.
