Head of Quality Engineering

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

One of the UK’s newest unicorns with a team of just over 700 people

Among the fastest-growing tech companies in the UK

Profitable since 2017

Backed by top investors including Balderton Capital and Goldman Sachs

Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to

Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

About the role

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

Service Level Objectives

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.

From these and other sources Identify hotspots, catalogue and evaluate risks and recommend remediations.

How you’ll do this

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

Screening Call with the Talent Team

Hiring Manager Call

VP of Engineering Call

Technical Interview

Final stage with our CTO

Life at Lendable

Winning team: the opportunity to scale up one of the world’s most successful fintech companies

Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites

Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls

Health coverage: support for your physical and mental wellbeing, including private health cover

Retirement & savings: long-term financial wellbeing through retirement savings plans

Employee referral programme: earn a competitive bonus when you refer successful new team members

Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations

Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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