Technical Recruiter

Reposted 19 Days Ago
2 Locations
In-Office
160K-210K Annually
Senior level
Software
The Role
Responsible for full-cycle recruiting for engineering teams, developing sourcing strategies, improving processes, and ensuring a positive candidate experience.
Summary Generated by Built In

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products.

THE ROLE

We are seeking an experienced and proactive Technical Recruiter to help us grow our team. You will be responsible for hiring engineers for one of our four engineering teams, building a close relationship with the team's hiring manager and taking ownership of big hiring goals. Every hire you bring on board will play a direct role in building the future of ML infrastructure at Baseten.

RESPONSIBILITIES

  • Full-cycle recruiting: Own the hiring goals and end-to-end recruiting process, from role kickoff through offer acceptance, for one of our engineering teams

  • Sourcing excellence: Work closely with hiring managers to define what "excellent" looks like for a given role. Develop and execute sourcing strategies to build pipelines of highly qualified candidates, leveraging tools and creative outreach.

  • Candidate experience: Ensure a smooth experience for every candidate, with clear communication and timely updates throughout the process

  • Process improvements: Continuously refine and scale recruiting processes to increase efficiency, reduce time-to-fill, and improve quality of hire

  • Data-driven insights: Track and analyze recruiting metrics (e.g., pipeline health, time-to-fill, conversion rates, acceptance rates) to inform how you spend your time

REQUIREMENTS

  • 5+ years of full-cycle recruiting experience, preferably in a rapidly growing startup environment with big headcount goals

  • Proven success sourcing excellent mid- and senior-level engineering candidates with specialized backgrounds

  • Strong willingness to take ownership of a team's hiring goals and proactively drive recruiting process improvements to achieve those goals

  • Exceptional organizational skills with the ability to juggle multiple searches and priorities simultaneously

  • Excellent written and verbal communication skills

BENEFITS

  • Competitive compensation, including meaningful equity.

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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The Company
59 Employees

What We Do

At Baseten we provide all the infrastructure you need to deploy and serve ML models performantly, scalably, and cost-efficiently.

Get started in minutes, and avoid getting tangled in complex deployment processes. You can deploy best-in-class open-source models and take advantage of optimized serving for your own models.

We also utilize horizontally scalable services that take you from prototype to production, with light-speed inference on infra that autoscales with your traffic.

Best in class doesn't mean breaking the bank. Run your models on the best infrastructure without running up costs by taking advantage of our scaled-to-zero feature

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