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Harver

SaaS pre-employment assessments for volume hiring

Quality Assurance Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeAmsterdam, NetherlandsIn-person

About the Job

Requirements

  • Proven experience managing QA Engineers, leading a quality team, developing people, and setting direction.
  • Hands-on command of Playwright, Node.js, TypeScript, MongoDB, and Postgres.
  • Fluency with AI-assisted engineering, including Claude Code, and the ability to set up agents and skills.
  • Deep, senior-level automation expertise, including writing automation tests against the listed technology stack.
  • Experience owning test architecture and contracts, including acceptance criteria, risk tiers, non-functional requirements, and the frameworks engineers use.
  • Comfort with monitoring, signal review, incident response, and using production patterns to improve test coverage.
  • Judgment to determine when escalation is needed and confidence to make that decision independently.
  • Ability to scale quality through systems, standards, and people rather than personal throughput.

Responsibilities

  • Own quality across every supported platform, set quality strategy, define platform health measures, maintain a current view of quality, and plan improvements.
  • Lead and grow the QA function by managing platform QA Engineers, coaching and developing them, setting direction, and building a high-performing team.
  • Bring QA into product discovery so quality risks, edge cases, and acceptance expectations are defined before engineering takes ownership.
  • Own acceptance criteria and test contracts, ensuring stories reach engineering with testable criteria, risk tiers, and non-functional requirements defined upfront.
  • Own and evolve test automation architecture and tooling, including frameworks, pattern libraries, and standards.
  • Drive production health across platforms by regularly reviewing production signals, monitoring non-functional requirement compliance, tracking bugs and escalations by platform and severity, and maintaining trustworthy feature health scores for new features.
  • Lead incident response from a quality perspective, independently declare escalations, drive root-cause analysis, and update contracts to prevent recurrence.
  • Configure and maintain AI-assisted quality pipelines across delivery, including solution-document and acceptance-criteria review, test generation, pull-request risk scoring, and production signal analysis.

Desired Qualifications

  • Exposure to AI-assisted quality tooling, mutation testing, and observability stacks such as Datadog, Grafana, and OpenTelemetry.
  • Experience owning quality across multiple products or platforms simultaneously.

About the Company

Harver

SaaS pre-employment assessments for volume hiring

Harver provides a SaaS platform for pre-employment assessment tailored to high-volume hiring. It automates the screening process by offering assessments that measure learning agility, cognitive ability, personality, situational judgment, and spoken language, which helps employers evaluate candidates at scale. The platform delivers quick, engaging applicant experiences to keep candidates progressing, achieving high completion and low drop-off. Results feed into a business intelligence layer that gives employers visibility and control over the entire hiring funnel, enabling faster time-to-hire and lower turnover. Harver differentiates itself by focusing on volume hiring and diversity and inclusion, guiding hiring decisions with data-driven insights and streamlined digital workflows. Its goal is to help large employers hire efficiently and fairly at scale while reducing time-to-fill and improving retention through better candidate fit.

Company size
51-200
Company stage
Series B
Total funding
$31M
Headquarters
New York City, New York
Founded
2013

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