Note: The job is a remote job and is open to candidates in USA. Ping Identity provides a cloud identity platform that helps organizations deliver secure and seamless digital experiences. The Senior Manager, SaaS Quality Engineering leads AI-first SDLC transformation, quality strategy, system validation, and quality platform development for multi-tenant SaaS products, including PingOne MCP Server and Identity for AI-aligned product surfaces. The role also oversees technical talent, developer-owned quality, CI/CD quality practices, and global execution.
Responsibilities
- 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
Skills
- Experience designing, testing, or evaluating AI-agent workflows, MCP servers, agentic quality tools, headless/API-first product experiences, or LLM-backed internal tooling
- Demonstrated success leading AI-first SDLC or agentic quality systems transformation with real organizational adoption, measurable before-and-after impact, and examples you can explain in technical depth
- 10+ years of experience in software engineering, quality engineering, engineering productivity, developer platforms, or related technical leadership roles
- 5+ years leading engineering or quality engineering teams in a SaaS, cloud, platform, identity, security, developer tooling, or enterprise software environment
- Deep technical experience with multi-tenant SaaS architecture, microservices, distributed systems, and cloud-native platforms
- Strong understanding of scale, tenant isolation, dependency failure modes, blast-radius reduction, resiliency, and production reliability
- Strong track record leading shift-left quality transformation, moving teams from late-cycle validation toward developer-owned unit, integration, service-level, and CI/CD-based quality practices while maintaining or improving release confidence
- Strong experience with CI/CD, UI/API test frameworks, release readiness, quality gates, SLO/SLI-driven validation, production-quality signals, and observability-driven decision making
- Ability to work credibly across Development, SRE, DevTools, Quality Engineering, and Performance Engineering, with a clear understanding of incident response, SLOs/SLIs, production telemetry, capacity, resilience, operational readiness, and each function's role in a multi-tenant SaaS operating model
- Ability to lead senior engineers through technical judgment, clear ownership, data, and influence while driving execution through roadmaps, KPIs, technical standards, operating cadence, and delivery plans
- Practical experience operating in modern SaaS production environments, including making technical tradeoffs involving CI/CD, feature management, AWS, EKS/Kubernetes, Lambda/serverless, distributed data systems, event-driven systems, and AI/agentic development tools
- Excellent written and verbal communication skills, including async execution discipline across highly distributed global engineering teams and senior stakeholders
- Experience with IAM platforms, identity administration, authentication and authorization flows, and multi-tenant identity architectures
- Experience with evaluation frameworks for non-deterministic AI behavior, including deterministic system-state validation, trace review, LLM-as-judge approaches, or human-calibrated scoring
- Ability to guide technical decisions involving test automation, service validation, and performance tooling such as Java, TestNG, Selenium, Playwright, k6, Gatling, JMeter, or similar
- Experience supporting customer-facing multi-tenant platform capabilities where scale, tenant isolation, noisy-neighbor control, security, least privilege, auditability, and operational trust are central requirements
- Experience with observability, incident analysis, and performance platforms such as New Relic, Datadog, Grafana, Prometheus, OpenTelemetry, Splunk, or similar
- Familiarity with distributed data and event technologies such as Cassandra, MongoDB, DynamoDB, Kafka, Redis, SQS/SNS, or similar
Benefits
- Employee Resource Groups that create a sense of belonging for everyone.
- Regular company and team bonding events.
- Global volunteering and community initiatives
- Generous PTO & Holiday Schedule
- Parental Leave
- Progressive Healthcare Options
- Retirement Programs
- Opportunity for Education Reimbursement
- Commuter Offset (Specific locations)
Company Overview
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