We're a small team of exceptional people, all-in on the work of our lives. Every person matters, every contribution is visible.

Our mission is clear: Accelerating life-changing products. We're building the platform that helps innovators create breakthrough products that transform how we live:

• Cell therapies that cure previously untreatable diseases
• Lab-grown meat that revolutionises sustainable food production
• Brain-computer interfaces that restore mobility to the paralysed
• Sustainable materials that drastically reduce environmental impact

What you'll do

As an Implementation Engineer, you'll do much more than just write code. We're looking for people with exceptional product taste who can translate customer needs into elegant technical solutions. You'll work directly with our customers to implement and customise our platform for their specific workflows.

You'll bridge the gap between our core platform and customer environments—deploying solutions, integrating with instruments and systems, and creating seamless data flows. The best engineers here think like product designers, obsessing over the user experience while delivering robust, tailored implementations.

What you'll need

• Exceptional talent and drive to match our ambitious mission
• Strong product intuition and an eye for thoughtful design
• Ability to understand complex customer workflows and translate them into technical solutions
• Experience integrating systems and data sources in technical environments
• Passion for creating elegant user experiences, not just functional implementations
• Skill in making complex technical systems feel simple and intuitive
• Strong customer-facing communication skills—you'll work directly with users
• Ability to think from the customer's perspective and advocate for their needs
• Exceptional work ethic—exceptional results require exceptional effort
• Resilience for the journey—building something revolutionary isn't easy

Bonus points

• Experience with our stack: Node.js, Postgres, GraphQL, React.js
• Understanding of laboratory instrumentation and automation
• Experience with data analytics and visualisation
• Background in scientific or manufacturing environments