Manager, Quality Assurance

Plenful•San Francisco, CA

53d•Hybrid

About The Position

We are seeking a Manager, Quality Assurance to define and own the quality strategy, systems, and operating model for Plenful. This is a high-leverage, planning-focused leadership role responsible for establishing how quality is measured, enforced, and continuously improved across the organization. This role is not focused on hands-on test execution. Instead, you will design the frameworks, policies, and quality signals that enable engineering teams and future QA ICs to deliver high-quality software at scale. You will act as the central owner of quality standards and governance, partnering closely with Engineering, Product, and Customer teams to ensure alignment on what “good” looks like—and how we prove it.

Requirements

10+ years of experience in QA, with 4+ years in a leadership or management role in a high-growth SaaS or enterprise environment.
Strong experience defining QA strategy, quality frameworks, and scalable processes.
Deep understanding of both manual and automated testing, with the ability to guide architecture (not necessarily execute).
Proven experience building quality metrics, reporting systems, and governance models.
Experience implementing defect triage systems, severity frameworks, and release gating processes.
Strong systems thinking—able to design repeatable, scalable quality operating models.
Excellent cross-functional leadership skills; able to influence Engineering, Product, and Customer teams.
Clear communicator with a strong ownership mindset.

Nice To Haves

Experience in healthcare, compliance-heavy environments, or structured data systems (FHIR, HL7, PDFs) is a plus.

Responsibilities

Define and evolve the end-to-end quality strategy, ensuring it scales with product complexity and company growth.
Establish processes, policies, and standards that enable consistent, high-quality software delivery across teams.
Partner with Engineering and Product leadership to embed quality into planning, development, and release cycles.
Design a risk-based quality model, focusing efforts on the highest-impact areas rather than exhaustive coverage.
Create clear feedback loops between customer-reported issues, internal quality signals, and product improvements.
Build the operating system for QA, including documentation, governance, and decision-making frameworks.
Manage and mentor QA engineers over time, while ensuring clarity between strategy (manager) and execution (ICs).
Serve as the final escalation point for quality standards and decisions, not day-to-day test execution.