Recruiting Coordinator

Posted 2 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
140K-200K Annually
Entry level
Artificial Intelligence • Information Technology
The Role
Coordinate high-volume interviews across time zones, manage candidate communications and logistics, monitor interviewer capacity, and support recruiting operations. Maintain interview feedback, documentation, data integrity, referrals, events, and applications. Partner with recruiting teams to expand interviewer pools and improve scheduling efficiency using recruiting and communication tools while delivering a high-touch candidate experience.
Summary Generated by Built In
About Thinking Machines

The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.

About the Role

We are hiring a Recruiting Coordinator to accelerate our hiring efforts and build a high-quality, efficient recruiting engine. You will be responsible for owning interview scheduling, improving recruiting operations, reporting, and delivering a thoughtful, high-touch candidate experience.

What You’ll DoCandidate Scheduling & Communication
  • Manage high-volume interview coordination across multiple time zones, calendars, and stakeholders while maintaining a world-class candidate experience.

  • Coordinate all interview logistics, from travel and expenses to room setup and technical support.

  • Serve as the main point of contact for candidates, communicating in a warm, professional, and informative manner through the whole screening and interview process.

  • Proactively monitor and manage interview capacity, ensuring the right interviewers are available and schedules can move quickly

  • Scale interviewer pools by partnering with teams to identify, train, and prepare new interviewers as hiring volume grows

  • Use modern scheduling tools (e.g., Ashby, GoodTime, ModernLoop) to automate scheduling, reduce manual work, and improve response speed

Hiring Process, Candidate Experience, & Operations
  • Provide operational support to recruiting: talent mapping, data, referrals processing, recruiting events, and inbound application support on an ad-hoc basis.

  • Collect, organize and audit interview feedback.

  • Maintain up-to-date recruiting information in documentation and in Slack, support data integrity across recruiting systems.

     
Skills and Qualifications

Minimum qualifications:

  • Experience coordinating schedules, managing calendars, or supporting operations in fast-paced environments, with exacting attention to detail.

  • Excellent written and verbal communication skills, especially in direct candidate communications

  • Comfort adapting to different styles and approaches to recruiting for different teams, learning and pivoting quickly

  • Proficiency with Google Workspace, scheduling tools, and communication platforms like Slack

Preferred qualifications — we encourage you to apply if you meet some but not all of these:

  • 1+ years in a high-volume scheduling or recruiting coordination role

  • Experience with ATS, HRIS, and scheduling tools like Ashby, GoodTime, Workday, and ModernLoop.

  • Experience partnering closely with recruiters and hiring managers

  • Proven ability to be proactive in ambiguous situations and propose multiple solutions

  • Experience supporting technical or leadership-level hiring

     
Logistics
  • Location: This role is based in San Francisco, California.

  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $140,000 - $200,000 USD.

  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Skills Required

  • Experience coordinating schedules, managing calendars, or supporting operations in fast-paced environments
  • Exacting attention to detail
  • Excellent written and verbal communication skills, especially for direct candidate communications
  • Ability to adapt to different recruiting styles and approaches, learn quickly, and pivot effectively
  • Proficiency with Google Workspace, scheduling tools, and communication platforms such as Slack
  • At least 1 year of experience in a high-volume scheduling or recruiting coordination role
  • Experience with ATS, HRIS, and scheduling tools such as Ashby, GoodTime, Workday, and ModernLoop
  • Experience partnering closely with recruiters and hiring managers
  • Ability to be proactive in ambiguous situations and propose multiple solutions
  • Experience supporting technical or leadership-level hiring
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The Company
HQ: Singapore
91 Employees

What We Do

Thinking Machines Lab is an artificial intelligence research and product company. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. While AI capabilities have advanced dramatically, key gaps remain. The scientific community's understanding of frontier AI systems lags behind rapidly advancing capabilities. Knowledge of how these systems are trained is concentrated within the top research labs, limiting both the public discourse on AI and people's abilities to use AI effectively. And, despite their potential, these systems remain difficult for people to customize to their specific needs and values. To bridge the gaps, we're building Thinking Machines Lab to make AI systems more widely understood, customizable and generally capable. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

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