Technical Recruiter, Infrastructure

United States Digital Space LLC; San Francisco (CA); Hybrid; USD 240,000 - 295,000; Full time

Job summary

United States Digital Space LLC is seeking a Technical Recruiter, Infrastructure, to own full lifecycle recruiting for the organization's Infrastructure teams. You will partner with hiring managers to translate needs into clear search strategies, build pipelines for highly specialized roles, and refine interview processes to identify top talent.

Candidates should have deep infra recruiting experience, be comfortable discussing Kubernetes, cloud networking, and systems languages, and work with

Qualifications

• Deep full lifecycle recruiting experience, with substantial time supporting infrastructure, platform, or comparably technical engineering organizations.
• Ability to hold a substantive technical conversation about infrastructure domains such as Kubernetes and container orchestration, cloud networking, cluster networking.
• Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools.

Responsibilities

• Own full lifecycle recruiting for a portfolio of roles across the Infrastructure organization, from intake through offer and close.
• Run structured intakes with infrastructure hiring managers, translating ambiguous needs into scoped requirements, calibrated bars, and search strategies.
• Build and maintain pipelines of specialized infrastructure talent, with an emphasis on passive candidates.
• Refine infrastructure interview loops, take-home assignments, and scorecards alongside hiring managers, your recruiting counterparts, and Recruiting Operations.
• Develop deep domain knowledge aligned with the teams you support, so you can identify niche talent with the right specific domain fit.
• Advise hiring managers with market data and candid calibration feedback, and influence decisions through credibility rather than volume.
• Partner with Compensation, People Partners, and Mobility to structure equitable offers and guide candidates to close.
• Handle sensitive role and candidate information with discretion, including for searches whose scope is confidential.

Skills

Full lifecycle recruiting

Infrastructure domain knowledge

Greenhouse ATS

Interview loop design

Ownership

Education

Bachelor's degree

Tools

Greenhouse ATS

Job description

About the company

the company's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

the company's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users - demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

As Technical Recruiter, Infrastructure, you'll join the small team of recruiters who hire for that organization, owning full lifecycle recruiting for your searches and partnering with infrastructure leaders to turn ambiguous needs into clear search strategies.

Key responsibilities

• Own full lifecycle recruiting for a portfolio of roles across the Infrastructure organization, from intake through offer and close
• Run structured intakes with infrastructure hiring managers, translating ambiguous needs into scoped requirements, calibrated bars, and search strategies
• Build and maintain pipelines of specialized infrastructure talent, with an emphasis on passive candidates
• Refine infrastructure interview loops, take-home assignments, and scorecards alongside hiring managers, your recruiting counterparts, and Recruiting Operations
• Develop deep domain knowledge aligned with the teams you support, so you can identify niche talent with the right specific domain fit
• Advise hiring managers with market data and candid calibration feedback, and influence decisions through credibility rather than volume
• Partner with Compensation, People Partners, and Mobility to structure equitable offers and guide candidates to close
• Handle sensitive role and candidate information with discretion, including for searches whose scope is confidential

Minimum qualifications

• Deep full lifecycle recruiting experience, with substantial time supporting infrastructure, platform, or comparably technical engineering organizations
• Ability to hold a substantive technical conversation about infrastructure domains such as Kubernetes and container orchestration, cloud networking, cluster networking, and systems languages, and to evaluate technical qualifications rather than match keywords
• Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools
• Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design
• Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers on complex searches
• A strong sense of ownership over your work, and the adaptability to adjust as priorities and hiring needs shift
• Genuine interest in the company's mission and in the role a strong infrastructure function plays in achieving it

Preferred qualifications

• Experience recruiting at a high-growth technology, AI, or machine learning company
• Working knowledge of the infrastructure and platform talent landscape, including where strong large-scale ML training and systems infrastructure talent tends to come from
• Experience hiring for hyperscale cluster infrastructure, research and platform infrastructure, privacy infrastructure, or sandboxing and isolation engineering
• Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent
• Comfort using LLMs to accelerate sourcing, research, and market mapping

Annual Salary

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

$240,000 - $295,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We believe that the highest-impact AI research will be big science. At the company we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest