PA

Forward Deployed Engineer (SDEV)

pagerduty· 15 open roles

Remote RemoteFull-time6 days ago
Salary
Undisclosed
Experience
Mid
Job Type
Full-time
Posted
6 days ago
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About This RoleAI processing…

PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform.

Key Responsibilities

  • 1
    Embed and drive SRE Agent adoption: Work onsite and in regular contact with 2–4 strategic customer teams to deploy the SRE Agent, configure tools and connectors, and embed AI actions across their incident management lifecycle to drive adoption and value
  • 2
    Build and contribute core agent capabilities: Scope, design, and build reusable agent tools, connectors, and skills on the agent’s extensibility surfaces, shipping them through the product team's repos, review process, and evaluation gates.
  • 3
    Run pilots and unblock customer adoption: Stand up new agentic capabilities with strategic accounts first, gather eval data, identify technical blockers (permissions, telemetry, missing connectors), and build production fixes directly into the product.
  • 4
    Integrate with production stacks and progressive delivery: Connect the SRE Agent to IaC (Terraform, Pulumi), GitOps (ArgoCD), CI/CD pipelines, and observability platforms, guiding customers safely from AI-assisted to autonomous operations.
  • 5
    Set technical direction and feedback insights: Define 3–6 month technical roadmaps across assigned accounts, provide architectural guidance to product managers and engineering managers, and bring customer friction and eval data back to the core team.

Requirements

  • 8+ years of experience building and shipping production software across team boundaries (assessed against PagerDuty Staff Engineer / SDE V expectations).
  • Hands-on experience with LLM and agent systems in production, including agent development, tool-use frameworks (MCP or equivalent), evaluation pipelines, and guardrail design.
  • Customer-facing skills. You can run a technical design session with a customer’s engineers and present the business case to their leadership.
  • Comfortable with ambiguity. You can start from a vague problem statement in an unfamiliar environment and get to working software without much direction. Former founders and founding engineers tend to do well in this role.
  • A record of shipping software that got adopted, and the judgment to recognize which customer requests generalize and when the right answer is not to build.
  • Infrastructure & Deployment expertise: Demonstrated experience with Terraform or Pulumi at scale, GitOps (ArgoCD or equivalent), CI/CD pipeline design, and progressive delivery patterns (canary, blue/green, soak periods).
  • Willingness to travel 25–50% during active customer engagements.
  • Practical operational knowledge of incident management and observability concepts (on-call, postmortems, SLOs/SLIs, alerting).
  • Customer-facing technical consulting, forward-deployed engineering, or solutions architecture experience on top of a core software engineering background.
  • Background as a founder or founding engineer accustomed to navigating high ambiguity and driving unscripted problem-solving.
  • Experience with policy-as-code, fine-grained permissioning, or safety guardrail patterns for agent-driven automation.
  • Production experience with PagerDuty or competing digital operations and incident management platforms.
  • Active open-source contributions to the AI agent or Model Context Protocol (MCP) ecosystem.

Perks & Benefits

Competitive salary
Comprehensive benefits package
Flexible work arrangements
Company equity*
ESPP (Employee Stock Purchase Program)*
Retirement or pension plan*
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
Paid volunteer time off: 20 hours per year
Company-wide hack weeks
Mental wellness programs

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