← Back to results

Operations Manager - Supply

Join Snorkel AI as an Operations Manager to optimize expert allocation and staffing in a dynamic AI environment.

Location
New York City, NY, United States
Compensation
$130k–$170k/yr
Level
mid
Type
full time · Hybrid

Posted by employer 2 days ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

Skills & Technologies

What you'll build

  • Build a staffing plan for every project
  • Allocate experts based on credentials and domain fit
  • Partner with acquisition and recruiting teams
  • Work with Delivery to activate experts on new projects
  • Create SOPs for repeatable processes

Must have

  • 4+ years in supply operations or comparable role
  • Experience sourcing or managing specialized talent
  • Comfort with data and SQL or BI tools
  • Experience building capacity plans or forecasts
  • Strong cross-functional communication

Nice to have

  • Experience with credentialed professionals
  • Familiarity with credentialing or licensure verification
  • Experience with AI training data or annotation

Requirements

Experience
4+ years

Not disclosed in this posting: visa sponsorship.

Joblaze summary

The Operations Manager for Supply at Snorkel AI is responsible for ensuring that the right experts are allocated to projects, balancing speed and quality in staffing decisions. This role requires proficiency in data analysis and experience in managing specialized talent pools, as well as the ability to create and implement staffing plans. Ideal candidates will have a background in supply or workforce operations, particularly in fast-paced environments, and strong cross-functional communication skills. The position plays a crucial role in supporting Snorkel's growth by optimizing expert allocation and maintaining a pre-vetted talent bench.

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 23, 2026. Last confirmed on Snorkel AI's careers page October 23, 2026.
  • Salary band is below the typical range for Management roles (median ~$170,000).
  • Starts above 40% of 48 comparable mid management roles in United States that list AI/ML we track (median $145,300 across 30 companies). See AI/ML salary trends
  • AI/ML appears in 18.8% of 464 comparable mid management roles in United States.

Quick facts

Is the Operations Manager - Supply role remote?
It's hybrid — Snorkel AI expects some on-site time in New York City, NY, United States.
What's the salary range?
Snorkel AI lists $130,000–$170,000 for this role.
How much experience is required?
At least 4 years of relevant experience for this Operations Manager - Supply role.
Where is the role based?
Snorkel AI is hiring for this position in New York City, NY, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
What seniority level is this role?
Snorkel AI targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Operations Manager - Supply role at Snorkel AI.

From the original posting

About Snorkel

About the Role

Snorkel's expert network spans a growing set of specialized domains. Each one draws on a different talent pool, moves at a different speed, and carries its own bar for what a qualified expert looks like. Demand shifts between them as customer priorities change.

This role is the Supply DRI for one or more of those domains and the pods inside them, accountable for having the right experts, in the right numbers, allocated and productive when projects need them. Which domains you own will depend on where demand sits when you join, and will shift as the portfolio does.

The work is a mix of planning and execution. You own the middle of the funnel for the expert contributors (ECs) in your domain, from onboarding to project assignment. That includes building a staffing plan for every project in your domain, allocating ECs who are qualified for projects, maintaining a bench of vetted experts ahead of demand rather than sourcing after a request lands, and making allocation decisions that balance speed against quality of match.

Upstream, you’ll partner with our acquisition and recruiting team to grow supply for your domains. Downstream, you’ll work with Delivery to activate ECs on new projects, and with the Expert Experience team to keep our best experts engaged. You’ll be the Supply partner the pods come to, and you’ll also work closely with BPO partners and analytics.

Responsibilities

  • Plan for now and next. Build a staffing plan for every project in your domains (role mix, peak targets, ramp timing and source mix), and flag gaps to Delivery before a project peaks. At the same time, keep a pre-vetted bench in each domain sized against forecast demand. Redeploy experts from ending projects before sourcing new ones.
  • Make great matches. Allocate experts on credentials, domain fit and past performance, not just availability. Work with Delivery to learn what drives high-quality, high-acceptance work in each domain, and feed that back into how you vet and match.
  • Own the results. You’ll be measured on:
    • How many projects hit their staffing targets
    • How fast supply arrives
    • How many allocated experts get assigned to a project
    • How quickly new experts find work

When a number slips, find out why and fix it.

  • Be the pods’ Supply partner. Act as the single point of contact for pod leadership, turn shifting priorities into supply moves, and escalate constraints early with options attached.
  • Make it repeatable. Turn what you do into SOPs and help automate them, so the team scales with domains, not requests.

Requirements

  • 4+ years 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 calls when demand exceeds available supply.
  • Comfort with data: you can pull your own numbers in SQL or a BI tool, and you have used a system of record (Airtable, Salesforce, or similar) as more than a place to log things.
  • Experience building capacity plans or forecasts, including scenario planning when demand signals are uncertain.
  • Track record of bringing structure to an ambiguous process: writing the SOP, getting people to follow it, and improving it once it runs.
  • Strong cross-functional communication. You will spend much of your time aligning Delivery, recruiting, and external partners who each want something different.
  • High ownership and a bias toward action, with the judgment to escalate the things that genuinely need a decision.

Nice to have

  • 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.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role
$130,000—$170,000 USD

Be Your Best at Snorkel

Standard company text repeated across Snorkel AI's postings is omitted here.

Similar positions

Snorkel AI
Staff Applied AI Engineer - Enterprise AI Solutions
Snorkel AI · New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
Snorkel AI
Forward Deployed Researcher - Data as a Service
Snorkel AI · New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
Snorkel AI
Director, Forward Deployed Researcher - Data as a Service
Snorkel AI · New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
Snorkel AI
Senior / Staff Software Engineer — AI Platform
Snorkel AI · New York City, NY (Hybrid); San Francisco, CA (Hybrid)
Snorkel AI
Research Scientist - Human-AI Systems
Snorkel AI · New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)