Head of QA

Location: Mountain View, CA | Hybrid

WitnessAI enables safe and effective adoption of enterprise AI through security and governance guardrails for public and private LLMs. The WitnessAI Secure AI Enablement Platform provides visibility into employee AI usage, control of that use via AI-oriented policies, and protection of that use through robust data and topic security. We’re looking for a Head of QA to build and scale a world-class Quality function that ensures our platform remains reliable, secure, and enterprise-ready as we grow.

The Head of QA will lead the people, processes, and strategy that define product quality at WitnessAI. This is a leadership role focused on building a high-performing QA organization, maturing operational excellence, and driving quality alignment across engineering, product, and security teams. The ideal candidate brings experience managing QA teams in SaaS or security-focused environments and excels at developing talent, refining processes, and influencing cross-functional partners with an automation-first mentality.

You will own the development and execution of our quality strategy, ensuring that our AI security platform meets the high expectations of enterprise customers. This is a foundational role with significant impact on how we measure, deliver, and evolve product quality as the company scales.

• Lead, mentor, and grow a high-performing QA team, cultivating a culture of accountability, ownership, and continuous learning.

• Set team goals, manage performance, and build career development pathways for QA engineers of varied skill levels.

• Scale the QA organization through thoughtful hiring, team design, automation, and capability planning.

• Foster an environment of collaboration, transparency, and operational discipline.

• Own the end-to-end QA strategy, ensuring processes, standards, and tooling support both rapid development and enterprise-grade reliability.

• Establish scalable and repeatable QA practices, from test planning and documentation to release readiness criteria and regression management.

• Partner with engineering and product leadership to embed quality early in the development lifecycle.

• Drive effective usage of automation ensuring clarity, consistency, and visibility across QA workflows.

• Serve as the quality authority in cross-functional planning and review processes.

• Collaborate with product and security subject matter experts to validate AI governance and policy-driven features.

• Lead structured defect triage, prioritization discussions, and release coordination to ensure consistent delivery quality.

• Support production incident investigations and lead quality-focused root-cause analysis.

• Define and report on key quality metrics, team performance, and release health through dashboards and structured reporting.

• Continuously refine QA processes to improve efficiency, repeatability, and customer-centered outcomes.

• Oversee documentation standards and ensure the QA team maintains operational rigor.

• Identify and implement process enhancements, tooling improvements, and training initiatives to elevate overall quality practices.

• 10+ years of experience in QA for SaaS or cloud-based products, with at least 2+ years in a management or leadership role.

• Demonstrated success building, leading, and developing high-performing QA teams.

• Strong experience with automation frameworks.

• Proven ability to establish and scale QA processes in fast-paced, high-growth environments.

• Excellent communication, leadership, and organizational skills, with the ability to influence and operate cross-functionally.

• Experience with automated testing concepts, CI/CD workflows, or microservices (hands-on depth helpful but not required).

• Background in security, AI, or enterprise software is highly advantageous.

• Hybrid work environment

• Competitive salary

• Health, dental, and vision insurance

• 401(k) plan

• Opportunities for professional development and growth

• Generous vacation policy
  

$180,000-$225,000 (The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.)