Quality Engineering Lead

The Role

You’ll own quality engineering at Element451 — the strategy, the system, and the team that delivers it. This is a player-coach role: most of your time goes to leading — managing and growing a team of quality engineers, setting quality strategy across the full SDLC, and building the systems, tooling, and practices that make it real — and you stay hands-on in the testing itself, because you can’t curate a quality system you’ve stopped practicing.

Quality here is an enablement function, not a gate. Your team isn’t the bug-finder of last resort between engineering and release; you build the personas, journeys, infrastructure, agents, and signals that let every engineer hit a high bar themselves. It’s also an explicitly AI-forward role: we expect you to bring thought leadership on how agentic AI reshapes quality work and to operationalize it across your team.

What You’ll Own

You own the quality system across the full lifecycle — from refinement and design through automation, release, and production. Quality isn’t a phase you run before launch; it’s a property the whole org builds in, and you own the system that makes it possible. In practice, you:

• Set and own quality strategy across the full SDLC — shift-left into refinement and design, define release-quality signals, and lead production escape analysis.

• Lead, manage, and grow the quality engineering team — hire, coach, set standards, and develop QEs into force multipliers for the engineers they partner with.

• Build and curate the quality system — the persona and journey model, the end-to-end automation suite, the test observability layer (flake, escape, time-to-feedback, coverage), and the shared tooling developers rely on — as a living product your team delivers.

• Make quality measurable and legible — define the metrics that matter and the dashboards that surface them.

• Champion agentic AI across the practice — pilot and scale AI-assisted test generation and agent-based testing, own the evaluation discipline for our AI features, and set the human-in-the-loop governance that holds AI-assisted work to the same bar as anything written by hand.

• Stay hands-on — design and write tests on high-risk work, set patterns by example, and keep your technical depth current.

• Partner across Engineering and Product as the owner of the quality discipline — drive cross-cutting initiatives and represent quality in how the org plans and ships.

How You’ll Show Up

We hire for behavior as much as for experience. We’re looking for someone who:

• Lives our values, and builds team culture through behavior, not policy.

• Leads as a force multiplier — measures success by the org’s quality outcomes and the engineers the system makes better, not by the bugs they personally find.

• Is excellent by default, and holds the quality system to a higher standard than the minimum.

• Leads with service — treats developer enablement as core to the job.

• Puts the team and product first — partners with engineering and product rather than positioning quality as a separate gate.

• Communicates with clarity and honesty — surfaces signal and risk proactively.

• Treats feedback as a gift, and gives it to the team generously and well.

What You Bring

• 7+ years in quality engineering, including proven experience leading quality practices, teams, or processes in a complex, multi-tenant SaaS product.

• Experience managing and growing engineers — hiring, coaching, setting standards, and developing a team that delivers.

• Strong, current hands-on engineering skills — you write and review production-quality test code and build tooling. Quality engineering here is a building role, and the Lead is no exception.

• A track record owning a quality system across the full SDLC — persona- and journey-based E2E strategy, test observability, release quality, and shift-left practices.

• Practical depth with modern test automation; Playwright or comparable browser automation is highly relevant, and contract testing (Pact-style) is a plus.

• The ability to own quality for our AI features — prompt evaluation, golden datasets, hallucination and safety testing, output regression — and to stand that discipline up quickly. Direct experience is a strong plus; the requirement is the judgment and engineering ability to build it.

• Genuine thought leadership in agentic AI for quality — current, hands-on fluency with agentic tooling across the quality lifecycle, and a point of view on operationalizing and governing it. We’re a Cursor shop; Claude Code, Codex, or comparable tools are equally valued.

• Comfort with the quality-as-system-owner, enablement-not-gate framing. If your prior orgs treated QA as the gate, this role will feel different — and that difference is the point.

• Excellent written communication — strategy docs, playbooks, and standards that stand on their own.