Join us on our mission to make a better world of work.
Culture Amp is the world's leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work. We empower companies of all sizes and industries to transform employee engagement, drive performance management, and develop high‐performing teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies—including Canva, On, Asana, Dolby, McDonalds, and Nasdaq—depend on Culture Amp every day. We are backed by leading venture capital funds and have offices in the US, UK, Germany, and Australia. We have been recognized as one of the world's top private cloud companies by Forbes and as one of the most innovative companies by Fast Company. For more information visit cultureamp.com.
How you can help make a better world of work
We're looking for an Engineer to join our AI Research & Experience team, helping build critical components for AI Coach—a contextually‐aware AI system that injects survey insights, performance management, and interpersonal dynamics to deliver personalized support to organizations, teams, and individuals at scale. You will work at the intersection of applied AI research and product engineering, translating cutting‐edge techniques into production systems that genuinely improve how people experience work. This is not a research lab—you'll be shipping features that solve real customer problems.
What You'll Do
* Stay up to date with current research, literature, and provider offerings.
* Design, implement, and evaluate areas and features of our multi‐agentic platform and systems using modern frameworks (e.g., LangGraph) for stateful, multi‐turn coaching conversations.
* Advise, help build, and orchestrate data pipelines that unify fragmented workplace data (surveys, goals, performance reviews, feedback, 1‐1 notes) into coherent coaching context.
* Translate customer requirements into technical solutions—working backwards from user needs to system design. Create technical documentation to support literacy, technical transfer, and engineering practice.
* Partner closely with product, design, and people science to ensure the features developed are fit for purpose and in line with existing product expectations, ensuring seamless partnership transfer of technology.
* Contribute to evaluation frameworks and bias testing to meet enterprise requirements for transparency and fairness.
* Build cutting‐edge, working prototypes integrated into our environments that validate new approaches and accelerate learning.
What We're Looking For
Must Haves
* Proven commercial experience taking ML/AI systems to production.
* Strong technical writer and communicator.
* Full‐stack software development experience, ideally Python, React, PGVector.
* Strong software engineering fundamentals—clean, tested, maintainable code.
* Effective use of software‐development AI tooling.
* Experience with LLM application development (prompt and context engineering, RAG, agent architectures).
* Alignment with our values—proactivity to take risks, humility to learn in public, pride in work, and focus on stability, extendability, and maintainability.
Desirable
* Hands‐on experience designing and integrating data pipelines—comfortable moving data across systems, working within rigorous security standards, handling messy real‐world inputs, and building robust orchestration.
* A pragmatic, solution‐focused mindset—evaluating new technology through the lens of "does this scale‐ably solve the problem?" rather than "is this technically interesting?"
Strong Signals
* Experience at startups or founding teams—comfortable with ambiguity and fast iteration.
* Postgraduate degree (MSc or PhD) in Machine Learning, Computer Science, Applied Mathematics, or a related quantitative field.
* Evidence of taking cutting‐edge techniques from paper to production.
* Experience with evaluation/benchmarking frameworks for AI systems.
* Experience integrating scalable solutions such as advanced Speech‐to‐Text (STT) and Text‐to‐Speech (TTS) pipelines (e.g., Whisper, ElevenLabs) with streaming capabilities.
* Experience implementing GraphRAG or Knowledge Graphs (e.g., Neo4j).
Bonus
* Familiarity with people analytics, HR tech, or behavioural science applications.
* Contributions to data ethics, algorithmic fairness, or responsible AI initiatives.
* Open‐source contributions or public technical writing.
Benefits
* Employee Share Options Program: Be an owner in Culture Amp and share in our success.
* Programs, coaching, and budgets to help you thrive personally and professionally.
* Access to external providers for mental wellbeing and coaching support.
* Monthly Camper Life Allowance: an automatic allowance paid each month with your pay.
* Team budgets dedicated to team‐building activities and connection.
* Intentional quarterly wellbeing pauses: a company‐wide shutdown day in each region to pause, reset, and focus on restoration.
* Extended year‐end breaks: an extended refresh period at the end of the year.
* Excellent parental leave and in‐work support program available from day one.
* Five Social Impact Days a year to make a positive impact on the community.
* MacBooks for you to do your best and a work‐from‐home office budget.
* Medical insurance coverage for you and your family (US & UK only).
We have a strong commitment to diversity, equity, and inclusion, with Employee Resource Groups and ally communities in place. We are committed to anti‐racism and strive to lead by example. Every step we take as a business towards anti‐racism is another step we can take to support our customers in making a better world of work.
We strongly encourage you to apply if you're interested—your unique experience can amplify our team. As part of your application, we will ask you to complete voluntary diversity questions (excluding roles in Germany). These questions are optional, completely anonymous, and will not impact hiring decisions. Your responses are confidential.
If you require reasonable accommodations or adjustments due to a disability to complete the online application or interview process, please contact accommodations@cultureamp.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond promptly.
Culture Amp will retain your CV and personal information for a period of two years (four years for the US) from the date of your application process completion. Culture Amp may contact you in relation to future job opportunities during this time period. For further information, please see our privacy policy or contact privacy@cultureamp.com.
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