Thinkingmachines
Recruiting Coordinator, Research
1w ago
USA
Coordinate and manage recruiting operations and interview scheduling for research positions to enhance hiring efforts and candidate experience.
Responsibilities
- We are hiring a Recruiting Coordinator to accelerate our hiring efforts for Research 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.
Requirements
- 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
How to apply
- 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.
Other
- Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
- 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.
- 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
- 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.
- As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
- Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.