Manager, Quality Assurance

Plenful is building the AI operating layer for enterprise healthcare organizations. As an agentic workflow automation platform purpose-built for pharmacy and enterprise healthcare teams, Plenful connects fragmented systems, standardizes complex processes, and applies AI to automate the most labor-intensive and compliance-critical workflows.

Today, more than 90 leading healthcare organizations rely on Plenful to power intake and prior authorization workflows, 340B compliance, rebate management, and claims reconciliation. By transforming institutional knowledge into scalable infrastructure, Plenful enables continuous operational improvement across distributed healthcare teams.

As healthcare organizations increasingly demand automation that is intelligent, auditable, and enterprise-ready, Plenful is at an important architectural and organizational inflection point—scaling its platform, strengthening its engineering foundation, and expanding its AI capabilities to meet rapidly growing market demand.

A Series B funded company, Plentiful has raised over $75M from investors such as Bessemer Venture Partners, Notable Capital, Arena Holdings, TQ Ventures, and Danaher Co-founder Mitchell Rales. Be sure to check out the press from TechCrunch, Forbes, Axios, etc.

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.

• Release Readiness Policy
  Define clear, enforceable criteria for what constitutes a production-ready release, including quality gates, risk thresholds, and sign-off processes.
• Quality Metrics & Reporting
  Establish the core set of quality KPIs (defect rates, escape rates, test coverage, reliability signals, etc.) and build reporting frameworks that drive visibility and accountability.
• Defect Triage & Severity Framework
  Design a standardized severity model and triage process to ensure consistent prioritization, escalation, and resolution of issues across teams.
• Regression Strategy
  Define the long-term approach to regression coverage (automation vs. manual, risk-based prioritization, scope definition) to support rapid and reliable releases.
• Test Environment Strategy
  Establish requirements and best practices for test environments, including data management, environment parity, and CI/CD integration.
• Quality Signals & Evidence Standards
  Define what evidence is required to demonstrate quality (test results, logs, coverage, monitoring signals), and standardize how quality is measured and validated.
• Cross-Functional Intake & Prioritization for Quality Work
  Build and manage a system for capturing, prioritizing, and aligning quality-related work across Engineering, Product, and Customer-facing teams.

What You’ll Do

• 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. 

What Success Looks Like
Success in this role is defined by establishing a clear, scalable quality operating system that enables the organization to ship confidently and consistently—without relying on heroics or ad hoc QA effort.

• Release readiness is clearly defined and consistently enforced
  Every release follows a well-understood readiness policy with explicit quality gates, risk thresholds, and signoff criteria. Release decisions are grounded in evidence, not intuition.
• Defect triage and severity are standardized and trusted
  Bugs are consistently classified, prioritized, and acted on. Teams align on severity definitions, escalation paths are clear, and time-to-triage improves meaningfully.
• A clear regression strategy is in place and adopted
  Regression coverage is intentional and risk-based. Teams understand what is covered, what is not, and how regression supports release confidence without slowing velocity.
• Quality metrics are defined, visible, and used
  Core KPIs (escaped defects, defect aging, time-to-triage, reopen rate, regression suite health, flaky test rate, release confidence) are actively tracked and used to drive decisions and accountability.
• Test environment expectations are stabilized
  Environments are reliable enough to support consistent validation. Environment instability is no longer a primary source of test noise or release risk.
• Quality signals and evidence standards are established
  Teams know what “proof” is required before shipping. Test results, logs, and system signals provide clear, deterministic evidence of system behavior.
• A cross-functional intake and prioritization system exists for quality work
  Quality gaps, defects, and risk areas are visible and prioritized alongside product work. There is a clear path from signal → prioritization → resolution.

• The QA operating model is fully embedded across the organization
  Teams consistently follow defined processes for regression, triage, release readiness, and quality validation without constant oversight.
• Quality accountability is shared, not siloed
  Engineering, Product, and QA operate with a common language around risk, severity, and release confidence. QA is a force multiplier, not a bottleneck.
• Defect escape rates and high-severity production issues decrease
  There is a measurable reduction in customer-impacting issues, with faster detection and resolution when issues do occur.
• Regression and automation systems provide strong, low-noise signals
  Automation is reliable and trusted. Flaky tests are minimized, and test results meaningfully reflect system health.
• Release confidence increases across teams
  Releases happen with fewer last-minute blockers, fewer rollbacks, and less ambiguity about system readiness.
• Quality work is proactively identified and prioritized
  The system surfaces risks early—before they reach customers—through strong observability, metrics, and feedback loops.

• A scalable QA function that runs on systems, not heroics
  QA engineers execute effectively within the frameworks you’ve built, with clear expectations, ownership, and leverage.
• A strong quality culture rooted in evidence and risk management
  Decisions are driven by signals, not opinions. Teams prioritize high-impact areas and focus on preventing issues rather than reacting to them.
• Quality becomes a competitive advantage
  Plenful ships quickly and reliably, with confidence in system guarantees, traceability of changes, and the ability to control risk in a complex healthcare environment.

Ideal Background

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

Plenful Perks

• Comprehensive Benefits Package: Enjoy unlimited PTO, fully covered health insurance (medical, dental, and vision), meal stipend, health & wellness stipend, 401(k) matching, and stock options
• Mission-Driven, World-Class Team: Join an exceptional group of professionals aligned around a meaningful mission and committed to making an impact
• Opportunities for Growth: Strengthen your partnership expertise through collaboration with experienced, high-performing leaders across the organization
• Flexible Hybrid Work Environment: This position is would be based out of our downtown San Francisco office 2 days a week. (M/W)