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We're seeking an experienced HR Infrastructure Manager to drive two critical pillars of PagerDuty's people operations: our recruiting technology ecosystem and our augmented workforce program. This role sits at the intersection of HR technology, process optimization, and strategic workforce planning, requiring both technical acumen and strong stakeholder management skills. You'll leverage cutting-edge AI tools and automation to build scalable, intelligent solutions that transform how we hire and manage our workforce.
Job Responsibility:
Own and optimize PagerDuty's recruiting technology ecosystem, ensuring seamless integrations, automation, and scalability across our hiring tools and platforms
Drive recruiting analytics strategy, delivering actionable insights that inform hiring decisions, identify bottlenecks, and measure recruiting effectiveness
Build and maintain integrations between recruiting systems and downstream HR/business tools to ensure data accuracy and process efficiency
Leverage AI and build AI agents to automate recruiting workflows, enhance candidate matching, improve data quality, and surface predictive insights
Partner with Talent Acquisition to identify opportunities for AI-driven automation that reduce time-to-hire and improve candidate experience
Manage vendor relationships for recruiting technology stack, including system upgrades, troubleshooting, and optimization
Design and execute PagerDuty's comprehensive augmented workforce program in partnership with the Director of HR Infrastructure & Operations
Develop clear policies and guidelines defining when and how to engage EOR employees, contractors, and interns, ensuring compliance and business alignment
Configure and optimize systems to support augmented worker lifecycle management, from requisition through offboarding
Build AI-powered tools and agents to streamline augmented workforce processes, automate compliance checks, and provide intelligent recommendations to managers
Create exceptional onboarding and offboarding experiences tailored to augmented workers that balance efficiency with engagement, utilizing automation where appropriate
Build educational resources and training for managers and leaders on augmented workforce policies, classification differences, and best practices
Collaborate cross-functionally with Procurement, HRBPs, Legal, Finance, and business leaders to ensure program effectiveness and adoption
Establish metrics and reporting to measure program success, compliance, and business impact, leveraging AI for predictive analytics
Requirements:
7+ years of progressive Recruiting or HR Operations experience with demonstrated expertise in recruiting lifecycle management and augmented workforce management
Proven expertise with recruiting systems (ATS platforms such as Greenhouse, Lever, Workday Recruiting, or similar)
Strong technical skills including system configuration, integration management, and process automation
Knowledge of contingent workforce management, including compliance considerations for contractors, EOR arrangements, and intern programs
Demonstrated experience with AI tools and automation, including building AI agents, workflow automation, or applying AI to solve business problems
Experience building programs from the ground up, including policy development, system implementation, and stakeholder enablement
Data-driven mindset with demonstrated ability to build analytics frameworks and translate data into actionable insights
Strong project management skills with ability to manage multiple complex initiatives simultaneously
Effective stakeholder management and communication skills across all organizational levels
Nice to have:
Experience with HRIS platforms (Workday or similar) and integration tools (Zapier, Workato, custom APIs)
Hands-on experience building AI agents or implementing AI-powered solutions in HR or operations contexts
Familiarity with AI platforms (Gemini, ChatGPT, Claude, Copilot) and no-code/low-code AI agent builders
Background in vendor management and procurement processes
Familiarity with employment classification regulations and compliance requirements
Experience in high-growth technology companies
SQL or other data analysis tool proficiency
Understanding of machine learning concepts and their application to HR analytics
What we offer:
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