Senior Manager, AI-First SaaS Quality & SDLC

Ping Identity

United States

Hybrid

USD 157,000 - 185,000

Full time

14 days+
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Benefits offered by this job

Generous PTO & Holidays
Parental Leave
Healthcare options
Retirement programs
Education reimbursement
Commuter offset (specific locations)

Job summary

Ping Identity is seeking a Senior Manager, SaaS Quality Engineering to lead AI-first SDLC transformation across PingOne MT. You will shape standards, drive agentic quality workflows, and partner with global teams to raise production readiness in a complex multi-tenant SaaS environment.

The role requires deep technical leadership, strong collaboration across DevTools, Architecture, Performance, and AI leaders, and a track record of delivering measurable quality improvements at scale.

Qualifications

  • 10+ years of software engineering, quality or related leadership experience.
  • Proven track record leading AI-first SDLC or agentic quality transformations.
  • Experience with multi-tenant SaaS platforms and distributed systems.

Responsibilities

  • Define and drive AI-first SDLC quality transformation across PingOne MT.
  • Lead quality strategy and execution across regions with measurable outcomes.
  • Own quality systems strategy for PingOne MCP Server and Identity for AI-focused work.
  • Build reusable test frameworks, tooling, and CI/CD quality gates.
  • Drive developer-owned validation from unit to E2E tests.
  • Use data to improve SDLC effectiveness, defect escape rates and release confidence.

Skills

AI-first SDLC
Agentic quality
SaaS architecture
Quality leadership
CI/CD
Observability
Multi-tenant security
Cross-functional collaboration

Tools

AWS
Kubernetes
CI/CD tools
Test automation frameworks

Job description

Ping Identity is seeking a Senior Manager, SaaS Quality Engineering to lead AI-first SDLC transformation across PingOne MT. You will shape standards, drive agentic quality workflows, and partner with global teams to raise production readiness in a complex multi-tenant SaaS environment.

The role requires deep technical leadership, strong collaboration across DevTools, Architecture, Performance, and AI leaders, and a track record of delivering measurable quality improvements at scale.

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