Lead QA Engineer

Posted 11 Days Ago
London, Greater London, England
In-Office
90K-120K Annually
Senior level
Artificial Intelligence • Healthtech
The Role
Lead the QA strategy for AI-driven products, ensuring quality metrics and release confidence, while mentoring engineers and preventing regressions.
Summary Generated by Built In

You believe quality is engineered, not tested in at the end.
You can challenge engineers without slowing them down.
You want to build QA systems that scale with product complexity.
If you only write test cases, this role is not for you.

The Role, In Plain English

You will lead QA across multiple squads building AI-driven investment products.
This role exists to ensure speed does not compromise trust.
You will define how quality works at Reflexivity.

What You’ll Be Responsible For
  • Build and lead QA strategy across backend and AI systems

  • Define automated testing standards and tooling

  • Work closely with engineers to prevent regressions early

  • Own release confidence and quality metrics

  • Mentor QA engineers and raise standards

What “Good” Looks Like

3 months: Clear QA ownership and improved test coverage.
6 months: Fewer production issues and faster releases.
12 months: QA is a force multiplier, not a bottleneck.

Who You Are
  • 5 plus years QA experience with leadership responsibility

  • Startup experience on core products

  • Strong understanding of backend systems

  • Comfortable working with engineers daily

  • Fintech or data-heavy product exposure

Nice-to-Haves
  • Experience testing ML or AI systems

  • Golang or Python familiarity

Compensation & Practicalities

£90,000 to £120,000, equity included, London in-office.

Salary Range
£90,000£120,000 GBP

Top Skills

Go
Python
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The Company
8 Employees

What We Do

We empower organizations and institutions with the capabilities to more effectively identify mental health challenges to ensure patients, team members, and constituents receive the care they need.

Toggle offers a new form of artificial intelligence that merges advances in computational cognition with machine learning. We call it Comp Cog AI, and it predicts anxiety, depression, and suicidal planning using a single 3-minute assessment involving images.

Its accuracy is cutting-edge against peer-reviewed findings for these three mental health challenges and is immune to manipulation or gaming, ensuring highly repeatable results.

Fast, accurate & inexpensive, Toggle’s solution is built on the latest developments in neuroscience and supported by deep academic review and competitive government funding.

Example Use Cases:
- Rapid & regular screening for Military, Defence and Public Safety personnel
- Screen for mental health during every visit to the Emergency Room or Medical Clinic
- Triage and best route callers in crisis line and telehealth environments
- Regularly assess at-risk groups remotely, triggering outreach where needed
- Offer screening to students and the workforce to deliver timely intervention

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