Sr Director, Product Management - AI & Automation

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses.

Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world—all in a flexible, award-winning workplace.

PagerDuty is seeking a Senior Director of Product Management, AI and Automation, to lead the industry’s transformation toward fully automated operations. Our vision: a world where empowered developers build and ship applications 10x faster with AI, and those applications run reliably and autonomously in production. When the unexpected happens, AI agents and automated remediation will resolve most issues—so human teams can focus on innovation, not firefighting.

In this pivotal role, you’ll own both our current AI and Automation portfolio and its seamless integration into PagerDuty Operations Cloud. Your work will accelerate incident detection, triage, diagnosis, and remediation—plus enable proactive, planned operations. The result? Our customers’ teams spend less time on operational toil and more time building what’s next.

This is a unique opportunity for a strategic, hands-on leader who thrives at the intersection of vision, execution, and team leadership. You’ll report directly to the SVP of Product Management, set the strategic direction with your peers leading Incident Management and AIOps, and inspire a high-performing team to deliver breakthrough value for our customers—and drive PagerDuty’s growth.

Key Responsibilities

• Develop a compelling product strategy and roadmap for PagerDuty’s AI assistant, AI agent platform, and (workflow and runbook) automation offerings.
• Allocate resources strategically between innovation and sustaining existing products to optimize business outcomes.
• Develop and evangelize our internal AI agent platform to empower product and professional services teams to build agents on our data and integrate them into our interfaces and workflows.
• Empower PagerDuty product and professional services teams to build, deploy, and continuously improve generative AI features and agents by evolving our data and agent platforms.
• Expand our AI ecosystem through partnerships and integrations across communications platforms, cloud storage, and infrastructure, embracing emerging standards like MCP and A2A.
• Set and achieve product engagement targets as a leading indicator of success in our transition to usage-based packaging and pricing models.
• Drive product decisions with a strong focus on customer value measured through product engagement and feedback, and financial impact measured by win rates, retention, and ARR.
• Foster a high-performing, product management team with diversity of experience and perspectives through coaching, empowerment, and accountability.
• Collaborate closely with Product, Engineering, Design, Product-led Growth, Enterprise GTM, Pricing, and Finance to maximize your products’ market and business impact.
• Build trusted relationships with customers, partners, media and industry analysts such as Gartner, Forrester, IDC, representing PagerDuty as a thought leader.

Basic Qualifications

• Minimum 12 years in product management, with significant experience in SaaS, AI, and/or automation.
• Understanding of workflow platforms (triggers, variables, conditions, and actions) and no code, low code, and procode authoring modalities.
• Experience with and deep interest in building experiences powered by generative and agentic AI.
• Strong technical acumen and experience leading and developing high-performing product management teams.
• Proven track record of taking products from concept to market success in a startup or agile innovation environment with a rapid experimentation mindset.
• Self-motivated user of AI tools for personal productivity and the craft of product with a bias towards scaling team output with technology rather than adding headcount.

Preferred Qualifications

• Experience building and delivering business results from AI/ML, observability, or incident management products.
• Experience scaling product ecosystems through technical integration, commercial partnerships, and go to market programs.
• MBA degree