Head of Quality Engineering

Quality at Lendable is a team-level responsibility with participation from PMs, EMs and engineers to ensure the right guardrails are in place to deliver quality software. We aggressively automate across the whole test pyramid and only manually test where absolutely necessary.

We’re hiring a Head of Quality to be accountable for engineering quality across the organisation, while local responsibility for delivering quality stays with each team. As we grow in headcount and customer numbers, this role keeps the bar high by taking signals from our existing quality processes, evolving our quality gates, and enabling teams rather than gatekeeping them. It is a hands-on role with a managerial aspect. The role will take the lead on using AI in the quality process, innovating with LLMs to improve efficiency and accuracy of testing.

What good looks like: in your first 12 months:

• Reduction in incident rate per PR.
• SLO coverage across services meaningfully increases.
• Introduction of effective AI-assisted quality tooling in the SDLC.
• Effective risk based quality reporting on quality.

What you'll be doing

• Own the engineering quality of the organisation
• Monitor and report on SLO performance.
• Engage teams to mature their SLO definitions.
• Introduce systematic performance testing in the SDLC.
• Ensure initiatives to improve SLO performance are completed.
• Incidents
• Own the follow-ups and resolutions from the incident process across engineering.
• Ensure follow ups from incidents are completed.
• Identify hotspots, catalogue and evaluate risks and recommend remediations.
• Being Hands-on
• This is not a pure managerial role. You will be engaging with teams, innovating with testing solutions and contributing code to test frameworks and CI pipelines.
• Managing a team
• Hiring and managing a team of ~2 Quality Engineers, they will be new hires to the company.
• Deploying Quality Engineers into engineering teams to help them improve their quality.
• Managing and supporting individuals that are embedded into different teams across the organisation.
• Driving a Quality Mindset
• Evangelising quality across the organisation.
• Work with MDs and other senior stakeholders to identify and create solutions to their quality challenges.
• Embedding quality thinking into all phases of the SDLC, not just the testing part.
• Looking for opportunities to shift-left the testing practices.
• Forming a guild of Quality representatives across the organisation.
• Running Initiatives
• Scoping and inserting quality initiatives onto teams roadmaps.
• Championing these initiatives with senior stakeholders.
• Developing the use of AI into the quality process
• Bring tools and processes into the organisation to level-up our testing efficiency using AI. AI testing agents, AI test failure triage agents and AI observers for production environments.

Tech stacks you will be working with

• Backend Coding: PHP, Kotlin, GO, Python
• Frontend Coding: Typescript, React, React Native, GraphQL, Relay
• Testing: PHPUnit, Behat, JUnit, Kotest, Jest, Maestro, K6
• Observability: Datadog, Sentry, Incident.io, Grafana
• Infrastructure: AWS, Docker, Kubernetes, RabbitMQ
• Deployment: Argo, Github, Github Actions

What we're looking for

• Essential
• At least 7 years in quality related roles.
• Run a number of QA initiatives across an organisation to improve the quality output across engineering teams.
• Proven senior stakeholder management.
• Experience working with quality across the stack. You have hands-on experience of testing backends and frontends. From functional to unit, performance and accessibility testing.
• Have line managed a small team.
• Worked with B2C products at scale (millions of users).
• Experience shaping CI/CD pipelines for test reliability (GitHub Actions or similar), including flakiness reduction, parallelisation, artefact management, and runtime control.
• Have shipped AI tooling into a quality process — this can be as simple as evaluating, buying and rolling out an off-the-shelf AI testing tool, through to building bespoke agents. You can describe the impact it had on how teams worked.
• Proactive, low-ego, and clear communicator, able to chase things down when blocked.
• Nice to Have
• Experience with using Datadog, Sentry or similar for monitoring.
• Experience with incident.io or similar incident process.
• Have managed SLOs and used them to improve quality.
• Experience in financial services or other regulated B2C environments.
• Mobile app testing experience (e.g. Maestro, native iOS/Android, React Native).

Why join?

• See your work matter: Our products are used by millions of customers. Improving quality ensures issues and outages don’t affect a large population across continents. Quality issues also have a direct impact on company revenue. As we scale further, quality plays a big part in our growth.
• High autonomy: You will decide where and how to engage across the organisation to improve quality. You will hire a team of Quality Engineers to deploy into teams.
• Work at the frontier of AI: AI tooling for quality is moving fast. You'll be one of the people deciding how we apply it - what's useful, what isn't, and where to have humans in the loop.
• An organisation that ships: No layers, no theatre, fast decisions. A fast moving environment that has made the company successful.

Interview process

1. Screening Call with the Talent Team
2. Hiring Manager Call
3. VP of Engineering Call
4. Technical Interview
5. Final stage with our CTO