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Lead Software Engineer - Member Experience

Lead Software Engineer responsible for designing high-polish user experiences in member-facing applications at Neko Health.

Location
London
Compensation
Not disclosed
Level
lead
Type
full time

Posted by employer 6 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Neko Health → Save job Scanned from nekohealth.com

Skills & Technologies

AI in the day-to-day

Daily use of AI coding tools, with a focus on using tools like Claude Code to enhance development.

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze summary

In the role of Lead Software Engineer at Neko Health, the individual will focus on designing and developing user-centric applications that enhance member experiences and clinical workflows. This position requires expertise in full-stack engineering, a strong product mindset, and familiarity with AI tools to streamline development processes. Ideal candidates are experienced engineers who excel in problem-solving and can effectively collaborate with cross-functional teams. Neko Health emphasizes a culture of innovation and high standards, aiming to redefine preventative care through technology.

Joblaze insights

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Fullstack.
What seniority level is this role?
Neko Health targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Lead Software Engineer - Member Experience role at Neko Health.

From the original posting

Mission

Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear.

In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives.

Role Purpose

As a Lead Software Engineer in Product Engineering, you will be responsible for designing and building high-polish, fail-safe user experiences across our member-facing applications and clinical workflows. This role blends deep system design, product thinking, and AI-native engineering excellence.

You will lead by example in an environment where 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. You will work across Product, Data Science, and Hardware teams in a vertically integrated organisation where your decisions directly influence member trust, clinic reliability, and Neko's ability to scale.

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 customer 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 tools such as Claude Code 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.

  • Collaborate with cross-functional partners across Product, Data Science, and Hardware to align system design with real-world clinical and operational needs.

Minimum Qualifications

  • Demonstrated experience building and operating large-scale products with real customer usage.

  • Proven strength in full-stack engineering with a strong product sense and ownership mindset. You solve the problem regardless of the tool.

  • Daily use of AI coding tools, with a deeply curious mindset and the ability to articulate when and how AI accelerates development.

  • Evidence of deep problem-solving ability, thinking beyond assigned tasks to deliver impactful, member-first outcomes.

  • Experience designing or contributing to complex systems in production environments.

  • Ability to work effectively with non-engineering teams and translate technical decisions into business impact.

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