Technical Lead

In Product

Greater London

On-site

GBP 90,000 - 140,000

Full time

31 hours ago
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Benefits offered by this job

Share options
£200/year professional development
Bi-annual performance reviews

Job summary

In Product is partnering with a fast-growing scale-up in the UK health space, delivering direct-to-consumer products with NHS and major insurers. As Tech Lead, you will stay hands-on while guiding AI-driven engineering, system design and cross‑team collaboration to ship impactful features that save lives and improve health outcomes.

You will operate in a high-autonomy environment, shape technical direction and drive initiatives across the stack (Node.js, React, React Native, MongoDB,

Qualifications

  • Proven track record taking ambiguous, high‑impact work from problem to production.

Responsibilities

  • Lead cross‑functional pod and hands‑on coding across backend and frontend.
  • Drive AI‑enabled engineering lifecycle with verifiable outputs.
  • Raise engineering standards and mentor peers without formal authority.

Skills

Node.js
React
React Native
MongoDB
AWS/Terraform
AI workflows
Full-stack leadership

Job description

In Product is partnered with a scale-up business who, after a period of stability, have reached profitability and are now scaling fast. They've become a leading partner in the B2B2C Health space, working with the NHS and major health insurers to deliver direct-to-consumer products that create genuine, lasting behavioural change.

This business is funded by some of the UK and Europe's top investors and has a research-focused culture, with users at the core of every decision. As they grow, they're laser-focused on their target audience and on building a highly engaging experience that supports people to make life-changing health improvements.

As Tech Lead, you'll be one of the most experienced individual contributors in the engineering team, working within a cross-functional pod and leading longer-running or cross-cutting technical work when problems cross team boundaries. This isn't a people-management role and it isn't an architecture-only role - you'll stay hands-on in the code while raising the bar for the systems, decisions and engineers around you.

AI fluency is core to this role, you'll use AI throughout the engineering lifecycle - understanding systems, prototyping, implementing, testing, reviewing while remaining fully accountable for the result, verifying outputs and knowing when deeper human judgement is needed.

  • You will have a track record of taking ambiguous, important work from problem to production, with concrete examples of your initiative changing pace or outcomes beyond your own assigned tasks.
  • You will have concrete examples of AI genuinely multiplying your output and a mature, repeatable AI workflow you continue to improve.
  • You will have strong, broad full-stack experience across backend and frontend systems, including designing and evolving systems (not just shipping tickets), with exposure to Node.js, React, React Native, MongoDB, and AWS/Terraform.
  • You will have raised the effectiveness of other engineers without relying on formal authority -through pairing, feedback, design discussions or simply the standard of your own work.
  • This business will offer you the opportunity to join through a significant period of growth, with a financially stable runway and generous share options.
  • You will have significant autonomy - no layers of coordination between you and Engineering Managers, Product Managers or the wider business and real responsibility for the direction and impact of your work.
  • The products you will be building are saving lives, supporting healthier lifestyles, and creating long-term behavioural change, with clear daily evidence of the impact of your work.
  • You will receive a competitive market salary, generous share options, bi-annual performance reviews, a £200/year professional development budget, and quarterly company meet-ups and socials.

As Tech Lead, we're looking for someone high-agency and fast, with a mature AI-enabled workflow, who is energised by genuine uncertainty about what engineering roles look like next rather than waiting for the industry to settle on an answer.

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