Workforce Operations Manager

We're looking for a Workforce Operations Manager to own the people and output management side of a data labeling operation at a fast-moving AI company. You will manage teams of 5 to 10 workers per project, keep their work output on track, and handle the handoff of finished labeled outputs to the engineering team. This is a non-technical, pure operations role — you will not be building anything.

The ideal background for this role is not a traditional project management resume. We are looking for someone with community management or people management experience — someone who has run a Slack community, managed a distributed workforce, or kept a group of remote knowledge workers aligned and producing without micromanaging. If you are a strong people operator who knows how to manage output quality across a distributed team and can keep things moving without being the most technical person in the room, this role is a strong fit.

Why You'll Want to Join

• You will be paid in USD (bi-monthly: every 15th and 30th)

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Paid Time Off in accordance with company policy

• Observance of Holidays per company guidelines

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100% remote setup so you can work wherever you're most productive

• This role requires availability during US business hours

• Work inside a fast-moving AI company serving biopharma, legal, energy, and healthcare clients

• High-ownership operations role with direct impact on delivery quality and team performance

What You'll Work On

Team Management and Output Oversight

• Manage teams of 5 to 10 workers per project, keeping their work output on track and on schedule

• Monitor output quality and flag issues early before they affect delivery

• Provide clear direction, feedback, and accountability to team members throughout each project

• Maintain team engagement and performance across a distributed, async workforce

Operations and Handoff Coordination

• Own the operations side of the data labeling workflow from team assignment through to finished output

• Coordinate the handoff of completed labeled outputs to the engineering team accurately and on time

• Maintain organized records of project status, team assignments, and output tracking

• Identify and resolve bottlenecks in the workflow before they create delays

Community and Workforce Management

• Manage team communications across async channels including Slack and email

• Build a reliable, well-managed workforce that produces consistent quality output

• Onboard new team members efficiently and ensure they understand expectations from day one

• Surface recurring issues, feedback, and improvement opportunities to leadership

What You Bring

• Experience managing a distributed workforce, community, or knowledge-worker team — this is the most important qualification

• Background in community management, workforce operations, or people management in an async remote environment

• Strong written and verbal English communication skills with the ability to give clear direction and feedback across a distributed team

• Highly organized with the ability to track multiple team members and project workstreams simultaneously without losing visibility

• Comfortable managing output quality without needing to understand the technical details of what is being produced

• Proactive communicator who surfaces issues early and keeps stakeholders informed without being asked

• Self-directed and reliable in a fully remote, async environment

Nice to Have

• Experience managing Slack communities or distributed knowledge-worker groups

• Background in data labeling, AI training data, or knowledge-work operations

• Prior experience in a forward-deployed or embedded operations role

• Familiarity with tools such as Notion, Airtable, or similar platforms for tracking team workflows

• Experience working inside an early-stage AI or technology company

How to Apply

Please include:

• Your updated resume

• A short Loom video (1 to 2 minutes) introducing yourself, describing your experience managing a distributed team or community, and walking through how you keep output quality consistent across a group of remote workers without micromanaging

Only candidates who submit a Loom video will be moved to the next step of the hiring process.

If you are a strong people operator who can keep a distributed team aligned, producing, and accountable, and want to own the operations side of a data labeling business inside a fast-moving AI company, this role gives you the ownership and the direct impact to do your best work.

Application Process Overview

Our comprehensive selection process ensures we find the right fit for both you and our clients:

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Initial Application - Submit your application and complete our prequalifying questions

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Video Introduction - Record an video introduction to showcase your communication skills and work experience

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Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)

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Recruitment Interview - Initial screening with our talent team

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Executive Interview - Meet with senior leadership to discuss role alignment

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Client Interview - Final interview with the client team you'd be supporting

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Background & Reference Check - Professional reference verification

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Job Offer - Successful candidates receive a formal offer to join the team

Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.

Originally posted on Himalayas