Key Skills
Job Description
Job Overview:
Everything Harver builds exists to help our customers achieve a greater Return on Talent Investment — putting the right person in the right role through science-backed, skills-based hiring. That promise only holds if the platforms behind it are dependable, and that's the quality bar you'll own. As our QA Manager, you'll be the most senior quality voice at Harver, accountable for the quality of every platform we support and for the QA Engineers who protect each one.
This is a builder's role, not a gatekeeper's. You'll set the quality strategy across our platforms, shape how quality is designed into products from discovery onward, and lead a team of platform-focused QA Engineers — coaching them, setting direction, and raising the ceiling on what good looks like. You'll be as comfortable authoring acceptance criteria and reviewing test architecture as you are running a 1:1 or making the call on an escalation. You know automation deeply (Playwright, Node.js, TypeScript, MongoDB, Postgres) and are fluent with AI-assisted engineering — Claude Code, agents, and skills — and you use that fluency to build systems and standards that scale, not to become the bottleneck.
If you're passionate about working in a dynamic, fast-growing company — with cutting edge technology, smart colleagues, and opportunities for development — come grow with us!
Responsibilities and Qualifications
In this role you get to:
• 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.
We're looking for people who have:
• 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.
Pssst… you don't have to check all the boxes to apply!
The benefits of working at Harver:
As a global company, our benefits vary by location. Ask your recruiter to provide information about localized benefits. Harverians enjoy:
• A competitive base salary and great incentive program
• Paid time off — when you need it, take it
• Benefit plan options that give you the flexibility to select the right health care coverage for you and eligible family members
• Bonus opportunities and employee referral rewards
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability
Core Responsibilities
You will define and execute the quality strategy across all platforms while leading and coaching a team of QA engineers. You are responsible for shifting quality left, managing test automation architecture, and overseeing production health and incident response.
Requirements
The role requires proven experience in managing QA teams and deep hands-on expertise with Playwright, Node.js, TypeScript, MongoDB, and Postgres. Candidates must demonstrate strong judgment in test architecture, production monitoring, and the ability to leverage AI-assisted engineering tools.
Benefits
- Competitive base salary
- Incentive program
- Paid time off
- Health care coverage
- Bonus opportunities
- Employee referral rewards
About Harver
Industry: Software Development
Company size: 51-200 employees
Harver is the industry-leading hiring solution helping organizations make better talent decisions, faster. Rooted in over 35 years of data insights backed by industrial- organizational psychology and cognitive science, Harver delivers a suite of predictive assessments and automated solutions that enable companies to engage, hire, and develop the right talent quickly and fairly. With over 100 million candidates processed and more than 1,300 customers worldwide, Harver empowers talent teams to optimize every stage of the hiring journey. Our trusted, science-backed platform includes assessments, video interviews, scheduling, and reference checking—all designed to reduce bias, improve candidate experience, and deliver data-driven insights that strengthen hiring outcomes across the employee lifecycle.
