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Snorkel AI

Builds training data and test environments for AI

Operations Manager - Supply

Supply Chain ManagementConfirmed live in the last 24 hours
Full-time$130k - $170kHybrid

About the Job

Requirements

  • At least 4 years of experience in supply operations, workforce or staffing operations, marketplace operations, or a comparable role in a fast-moving environment.
  • Experience sourcing, allocating, or managing a pool of specialized talent, and making trade-off decisions when demand exceeds available supply.
  • Ability to retrieve data using SQL or a business intelligence tool, and experience using a system of record such as Airtable, Salesforce, or similar beyond basic logging.
  • Experience building capacity plans or forecasts, including scenario planning when demand signals are uncertain.
  • Track record of structuring ambiguous processes by writing standard operating procedures, ensuring adoption, and improving them over time.
  • Strong cross-functional communication to align Delivery, recruiting, and external partners with differing needs.
  • High ownership, bias toward action, and judgment to escalate issues that require a decision.

Responsibilities

  • Build staffing plans for each project in the assigned domains, including role mix, peak targets, ramp timing, and source mix; flag staffing gaps to Delivery before project demand peaks.
  • Maintain a pre-vetted bench in each domain sized against forecast demand, and redeploy experts from ending projects before sourcing new experts.
  • Allocate experts based on credentials, domain fit, and past performance, working with Delivery to identify quality and acceptance factors and incorporate them into vetting and matching.
  • Monitor project staffing targets, supply arrival speed, the rate at which allocated experts are assigned to projects, and the time it takes new experts to find work; investigate and resolve performance shortfalls.
  • Serve as the single point of contact for pod leadership, translate shifting priorities into supply actions, and escalate constraints with options.
  • Turn operational processes into standard operating procedures and help automate them so the team can scale with domains rather than individual requests.
  • Partner with the acquisition and recruiting team to grow supply for assigned domains.
  • Work with Delivery to activate expert contributors on new projects and with the Expert Experience team to keep high-performing experts engaged.
  • Work closely with business process outsourcing partners and analytics.

Desired Qualifications

  • Experience working with credentialed or highly specialized professionals such as engineers, clinicians, researchers, or attorneys.
  • Familiarity with credentialing, licensure verification, or handling regulated data.
  • Experience with AI training data, annotation, or expert-in-the-loop work.

About the Company

Snorkel AI

Builds training data and test environments for AI

Snorkel AI builds training datasets and simulated work environments for AI labs and companies developing models and software agents. Its data products combine expert demonstrations, scoring rules, and quality checks, while runnable environments let agents practice tasks such as coding or using business software. The company pairs domain specialists with its own data development technology to generate examples, evaluate model behavior, and refine weak areas through repeated feedback. Customers buy ready-made datasets or commission tailored data and evaluation work, and enterprises also use its specialized agent solutions. Snorkel AI was founded in 2019 and is headquartered in San Francisco, California.

Company size
201-500
Company stage
Late Stage VC
Total funding
$586.2M
Headquarters
San Francisco, CA
Founded
2019

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