QA Manager

Harver delivers a suite of automated solutions that optimize talent decisions for some of the world's leading organizations. Rooted in over 40 years of science and rich data insights backed by industrial-organizational and cognitive science, we enable organizations to engage, hire, and grow the right talent in a fast and fundamentally unbiased way.

Putting the right person in the right role is life-changing — for the individual and for the organization. That's not a tagline. It's the reason we come to work. We've applied 35 years of assessment science to one of the hardest problems in business, helping thousands of organizations hire with more confidence and less guesswork. Now we're entering our most exciting chapter yet — new products, a sharpened focus, and a market that genuinely needs what we've built.

• Own quality across every platform Harver supports — set the strategy, define what "healthy" looks like for each platform, and hold a continuously current view of quality and a standing plan for how to improve it.

• Lead and grow the QA function — manage the QA Engineers responsible for each platform, coach and develop them, set clear direction, and build a high-performing, high-trust team.

• Shift quality left — bring QA into discovery by default, so quality risks, edge cases, and acceptance expectations are shaped before engineering takes ownership rather than discovered late.

• Own acceptance criteria and test contracts as the backbone of quality — ensure stories reach engineering with testable criteria, risk tiers, and non-functional requirements defined up front, so engineers build against a clear contract.

• Own and evolve the test automation architecture and tooling — engineers write the tests; you own the frameworks, pattern libraries, and standards they build against, and you keep them fit for a growing platform.

• Drive production health across platforms — review production signals on a regular cadence, monitor NFR compliance, track bugs and escalations by platform and severity, and make feature health scores available and trustworthy for every new feature.

• Lead incident response from a quality lens — you hold independent authority to declare an escalation without waiting for approval, drive root-cause analysis, and close the loop by updating contracts so the same gap doesn't reappear.

• Configure and maintain AI-assisted quality pipelines across the delivery lifecycle — from solution-document and AC review through test generation, PR risk scoring, and production signal analysis.

• Proven experience managing QA Engineers — you've led a quality team, developed people, and set direction, not just delivered your own work.

• Command of our technology stack — you're comfortable and hands-on with Playwright, Node.js, TypeScript, MongoDB, and Postgres.

• Fluency with AI-assisted engineering — you know your way around Claude Code and can set up agents and skills to compress manual effort and raise coverage.

• Deep, senior-level automation expertise — you're hands-on and credible in writing automation tests against the stack above.

• A track record of owning test architecture and contracts — acceptance criteria, risk tiers, NFRs, and the frameworks engineers build against.

• Strong production-health instincts — comfort with monitoring, signal review, incident response, and turning production patterns into better coverage.

• The judgment to know when to escalate and the confidence to make that call independently.

• A builder's mindset — you scale quality through systems, standards, and people rather than personal throughput.

• Preferred: exposure to AI-assisted quality tooling, mutation testing, and observability stacks (e.g., Datadog, Grafana, OpenTelemetry), and experience owning quality across multiple products or platforms at once.