Lead Software Engineer

Role Purpose

Product Engineering builds the software behind every Neko visit, from member check-in and the real-time instrument display that surfaces scan data live in the clinic, through the tools doctors use to review results and run the consultation, to the products members use at home such as the Neko App, wearable integrations, and more.

Engineers invest in understanding the "why" before deciding the "how," own outcomes end-to-end, and look for the architectural change or automation that makes things 10x better rather than incrementally improved.

Operating across Product, AI, Data Science, and Hardware, you will play a key role in shaping the intelligence layer of Neko's vertically integrated platform, ensuring that data- and AI-driven decisions enhance member trust, optimise clinic reliability, and accelerate scalable growth.

What You Will Deliver in the First 6 to 12 Months

• Become a fully ramped core contributor within your first 3 months, owning meaningful parts of the Member Experience or Medical Excellence product domains.
• Architect and deliver end-to-end features that significantly enhance member journeys, ensuring experiences are seamless, resilient, and clinically safe. There is nothing too hard to solve for our members.
• Introduce and champion AI-first workflows, using agentic tools to handle the 80% so your focus stays on the system design and outcomes that truly matter.
• Drive clarity in ambiguous problem spaces. Surface problems early, ask the right questions about context and intent, and provide direct and honest feedback even when there is no perfect answer.
• Lead critical reliability and quality initiatives, ensuring member-facing systems are robust, scalable, and able to support Neko's rapid growth.
• Influence and mentor other engineers, raising the bar for technical excellence, problem-solving depth, and customer centricity.

Minimum Qualifications

• Full-stack engineer with the depth to lead complex, cross-functional delivery end to end. Stronger on front-end or back-end is fine if you can show how fast you close the gap on your weaker side, including with AI.
• Solid command of architecture and the frameworks you work in: you can explain and defend trade-offs, not assemble AI output blindly.
• Product-minded and customer-driven: a track record of shipping well-rated products with excellent customer experience, and of deciding what to build by talking to customers. You want to be in the room deciding what to build, not just how.
• AI-first in how you work, beyond "I use AI to write code": agentic tooling in your daily workflow, and experience building AI or automation into the product itself.
• A strong communicator who mentors the engineers around you.