Airbnb
Manager,RecruitingSystemsandData
Neural analysis suggests this role is
optimal for Manager candidates.
“Manager, Recruiting Systems and Data at Airbnb. Skills: Recruiting systems, HR technology, Data architecture, People leadership. Lead set high expectations. Develop people with consistency”
What You'll Achieve.
Recruiting infrastructure well-governed; Recruiting infrastructure scalable; Continuously delivering actionable insight; Team recognized as go-to partner
Industry & Context.
Solve hard problems; Data architecture trade-offs
Occasional work at office, Attendance at offsites
What They're Looking For.
Must Have
7-10 years in recruiting systems, 7-10 years in HR technology, 7-10 years in people analytics, 1-2 years managing a team, Deep expertise in enterprise ATS administration, Experience with multi-system integration, Demonstrated experience leading system implementations, Demonstrated experience leading system migrations, People leadership skills
Nice to Have
Technical familiarity with data modeling, Technical familiarity with analytics engineering, Background in HR Tech implementation, Background in solutions architecture, Background in people data strategy
What You'll Do.
Lead set high expectations
Develop people with consistency
Hire for technical depth
Advocate actively for growth
Own the Recruiting Tech Stack Strategy
Define roadmap for recruiting technology
Lead build vs. buy evaluations
Drive complex system implementations
Drive complex system migrations
Drive complex system integrations
Manage senior vendor relationships
Hold vendors accountable
Build processes for trustworthy data
Lead major data initiatives
Communicate pillar strategy
Communicate pillar progress
Communicate pillar value
How You'll Work.
Team & Collaboration
Partnering with Recruiting Leadership; Partnering with People Analytics; Partnering with Engineering; Partnership with HR Tech; Stakeholders trust data; Stakeholders trust systems
Communication Scope
Translate technical complexity; Decision-enabling language
Process & Methodology
Roadmap development, System implementation, System migration, System integration
Full Job Description
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: You will be joining Airbnb's Recruiting Operations team; a highly collaborative, technically sophisticated group that sits at the intersection of data, systems, and recruiting strategy. This team partners closely with Recruiting Leadership, People Analytics, and Engineering to ensure that Airbnb's recruiting infrastructure is scalable, insight-driven, and always evolving. As the Manager of Recruiting Tech shaping its architecture, leading a team of technically strong analysts, and driving the data and systems decisions that help recruiting leadership make better, faster decisions. Success in this role looks like a recruiting infrastructure that is well-governed, scalable, and continuously delivering actionable insight — with your team recognized as the go-to partner for hard problems like build vs. buy decisions, data architecture trade-offs, and recruiting tech investment strategy. A Typical Day: Lead set high expectations and develop people with consistency and care Build a team culture grounded in technical rigor, reliability, and service — where stakeholders trust the data and the systems Hire for technical depth and communication strength — analysts who can solve hard problems and explain them simply Coach individuals toward greater scope; give honest feedback and advocate actively for their growth Own the Recruiting Tech Stack Strategy Define and own the roadmap for Airbnb's recruiting technology ecosystem — ATS, CRM, sourcing, scheduling, and adjacent tools Lead build vs. buy vs. integrate evaluations grounded in recruiter needs, technical feasibility, and long-term scalabili
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