Senior Manager, SaaS Quality Engineering (AI-First SDLC)
Core
Lead AI-first SDLC transformation and quality strategy for multi-tenant SaaS identity platforms, focusing on agentic workflows, MCP servers, and developer-owned quality.
Role type
Senior Manager, SaaS Quality Engineering (AI-First SDLC)
Builds
Agentic quality fleets, reusable test frameworks, CI/CD quality gates, and validation strategies for Identity for AI-aligned products.
Domain
Cybersecurity, Identity and Access Management (IAM), Multi-tenant SaaS, Cloud-Native
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
AI-agent workflow design, agentic quality tools, MCP server testing, shift-left quality transformation, multi-tenant SaaS architecture, microservices, distributed systems, CI/CD, SLO/SLI-driven validation, observability, incident response, team leadership
Preferred skills
LLM-backed internal tooling, headless/API-first product experiences, developer-owned scrum workflows, performance engineering, global strategy alignment
Technologies
MCP Server, CI/CD pipelines, agentic quality frameworks, microservices, cloud-native platforms
Responsibilities
Lead AI-first SDLC transformation including agentic workflows for test design, execution, and failure triage; Own quality systems strategy for PingOne MCP Server and Identity for AI work; Lead the Quality Platform pillar for reusable frameworks and tooling; Build the System Validation pillar for customer-oriented E2E validation; Partner with DevTools to enable developer-owned unit and integration tests; Use data to improve SDLC effectiveness and production readiness; Hire and coach senior technical contributors
Seniority
Senior Manager, hands-on IC with strategic leadership