D
Hybrid
Recruiting Operations Program Manager
Datadog
Overview
Own the sourcing tech stack end to end — configuration, administration, integrations, user and license management, and the multi-year roadmap for how it evolves Own Datadog’s AI sourcing strategy: identify where AI can meaningfully change how our sourcers work, build the roadmap for adopting it, and lead the implementations that follow
Benefits, from the posting itself
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parental planningreceipt ⟳
“parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee sto”
401(k) plan and matchreceipt ⟳
“parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee sto”
healthcare, dental, parental planningreceipt ⟳
“healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a dis”
paid time offreceipt ⟳
“parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee sto”
Continuous professional developmentreceipt ⟳
“Continuous professional development, product training, and career pathing An inclusive company culture, able to join our Community Guilds an”
Key Responsibilities
- Own the sourcing tech stack end to end — configuration, administration, integrations, user and license management, and the multi-year roadmap for how it evolves
- Own Datadog’s AI sourcing strategy: identify where AI can meaningfully change how our sourcers work, build the roadmap for adopting it, and lead the implementations that follow
- Evaluate emerging AI sourcing capability with a critical eye — run structured pilots, separate real capability from vendor marketing, and make clear recommendations
- Design AI-assisted and agentic sourcing workflows alongside sourcers and iterate them based on what the data says is working
- Define how we measure AI efficacy in sourcing, establishing human baselines and holding AI-assisted workflows to them
Key Requirements
- Experienced in recruiting operations, HR technology, or a related field, with a track record of owning a platform rather than only executing projects within one
- Genuinely excited about AI and what it can do for recruiting, with hands-on experience evaluating or deploying AI-powered tooling — and the judgment to be skeptical where skepticism is warranted
- Able to evaluate AI capability on evidence rather than demo: you design the pilot, set the baseline, and measure against it before recommending adoption — and you’re comfortable building prompts and agentic workflows yourself
- Thoughtful about responsible AI and candidate data privacy in hiring, including bias and fairness, transparency, human oversight, and the regulatory landscape around automated employment decision tools
- Hands-on with a recruiting CRM (Gem strongly preferred) and LinkedIn Recruiter, and deeply familiar with how sourcing works day to day — ideally from having sourced yourself
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