through them, drive real adoption of the CRM across the team, and tell us honestly where we are leaving capability on the table. You will also work with the owner of our ATS to make sure data flows cleanly from sourcing into the hiring pipeline.
At Datadog, we place value in our office culture — the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do
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
Own responsible AI use in sourcing: human-in-the-loop standards, partnering with Legal and Privacy on evolving requirements including NYC AEDT bias audit obligations and the EU AI Act
Own vendor relationships and commercial outcomes for sourcing tools, including renewals, negotiations in partnership with Procurement, seat forecasting, and holding vendors accountable to their roadmaps
Evaluate, pilot, and select new sourcing technology, including building the business case, running structured evaluations, and leading implementation — and make the call to retire tools that are not earning their place
Partner with sourcing leaders to continuously optimize sourcing workflows end to end — prospect identification, outreach sequencing, pipeline nurture, talent pool strategy, and handoff into Greenhouse
Own CRM adoption as an ongoing program, not a project: set usage standards and build enablement, measure against targets
Partner with the Greenhouse owner in Recruiting Operations on integration architecture and data model decisions, ensuring prospect and candidate data flows cleanly between sourcing and the hiring pipeline
Ensure sourcing tools and outreach practices remain compliant with data privacy, candidate consent, and regional legal requirements across the markets we hire in, partnering with Legal and Privacy as neede
Who You Are
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
Experienced at driving and sustaining tool adoption, with concrete examples of moving a team from low to high usage and keeping it there
Commercially capable — comfortable owning vendor relationships, building a business case, forecasting license needs, and holding your own in a renewal conversation
Comfortable owning a roadmap and influencing without authority: making prioritization calls, saying no, and bringing sourcers and leadership along with you
Humble, thoughtful, and driven by a sense of purpose in helping others succeed
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth
Best-in-breed onboarding
Generous global benefits
Intra-departmental mentor and buddy program for in-house networking
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
An inclusive company culture, able to join our Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is
$101,000—$135,000 USD
About Datadog
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
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Privacy and AI Guidelines
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.