Senior Manager, SaaS Engineering (Tools & AI)

About Ping Identity:

At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.

Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.

While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Individuality, reminds us to celebrate differences so you are empowered to bring your authentic self to work.

We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.

Senior Manager, SaaS Quality Engineering — AI-First SDLC

Location: North America Organization: PingOne Multi-tenant SaaS Work model: Hybrid or remote, based on location and business needs

This role is for a deeply technical SaaS engineering leader who has led quality platforms, shift-left quality transformation, and AI-first SDLC transformation at scale. Candidates should be prepared to discuss architecture, quality tools and frameworks, developer-owned quality, and agentic quality workflows.

About the role

Ping Identity’s PingOne Multi-tenant SaaS organization supports mission-critical identity services used by enterprise customers who depend on secure, reliable digital trust. We are looking for a Senior Manager, SaaS Quality Engineering to help define and scale the systems, frameworks, and operating models that improve quality, performance, and AI-first validation across complex multi-tenant SaaS products and microservice platforms. This includes using agentic quality workflows across the SDLC, from requirements and design review through test creation, execution, failure analysis, release readiness, and production feedback loops.

This leader will own North America execution while helping shape global quality strategy across two core pillars: System Validation and Quality Platform. You will partner closely with distributed Quality Engineering, Development, SRE, DevTools, Product, Architecture, Performance Engineering, and AI leaders to define the operating model, lead senior technical talent, and improve how teams build, test, validate, release, and measure production readiness for distributed SaaS systems.

This role is also aligned to the company’s Identity for AI initiative. You will serve as a quality systems leader for PingOne MT’s Identity for AI-aligned work, with a specific focus on testing strategy, validation, evaluation, and release confidence for the PingOne MCP Server and related AI-first product surfaces.

The right candidate has driven production adoption of AI-enabled or agentic engineering workflows in a modern SaaS environment and can explain measurable outcomes, adoption challenges, and lessons learned beyond early pilots. They should also understand how to maintain or improve quality as functional validation shifts from centralized testing teams into developer-owned scrum team workflows.

What you’ll own

Lead AI-first SDLC transformation across the PingOne MT quality organization, including agentic workflows for requirements analysis, test design, test creation, execution, failure triage, coverage analysis, release-readiness evaluation, and governed adoption.

Lead PingOne MT quality strategy and execution across regions, partnering with global leaders and engineers to shape standards, operating model, and measurable delivery outcomes.

Own the quality systems strategy for PingOne MCP Server and Identity for AI-aligned product surfaces, including functional correctness, permissions, tool behavior, auditability, and production readiness.

Lead the Quality Platform pillar: reusable IT, E2E, MCP, and ID4AI test frameworks; define, design, develop and own agentic fleets, quality tooling; CI/CD quality gates; telemetry; and developer-owned quality enablement.

Build the System Validation pillar for customer-oriented E2E validation across products and platforms, while enabling scrum teams to own functional validation closest to their code.

Define validation for critical customer workflows, cross-product scenarios, microservice dependencies, performance and scalability risks, release readiness, escaped-defect prevention, and production-risk reduction.

Partner with DevTools and development leaders to move appropriate validation closer to code through developer-owned unit, integration, and service-level tests.

Lead quality process transformation for AI-first SDLC, quality standards and pipeline-effectiveness forums that turn technical decisions into shared frameworks, trusted CI/CD signals, and clear team ownership.

Use data to improve SDLC effectiveness and production readiness, defect escape rates, test reliability, release confidence, and delivery efficiency.

Hire, coach, and grow senior technical contributors while staying close to architecture, technical reviews, framework direction, and execution.