Senior Operations Manager, Snorkel AI
Growth
$160-200k
+ Stock options. Salary based off of tier 1 locations such as San Francisco Bay Area, New York, Seattle & may differ for further locations
The AI data research lab
Be an early applicant
The AI data research lab
501-1000 employees
Be an early applicant
$160-200k
+ Stock options. Salary based off of tier 1 locations such as San Francisco Bay Area, New York, Seattle & may differ for further locations
501-1000 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- This is a high-impact role for an operator who is equally comfortable building growth models and managing campaign performance in spreadsheets, while aligning with finance to present on spend efficiency and lifetime value
- 5+ years of experience in growth operations, performance marketing, demand generation, or related roles in high-growth or operationally complex environments
- Proven experience managing paid acquisition campaigns at scale — ideally across LinkedIn, job boards, or talent/marketplace platforms
- Experience building demand forecasting models, including scenario-based planning (conservative/base/aggressive)
- Strong analytical skills using SQL
- Track record of managing or coordinating cross-functional teams to execute campaign operations at speed
- Prior experience with operations-heavy business models such as marketplaces, on-demand services, staffing, or workforce platforms
- Ability to bring structure and clarity to ambiguous problem spaces — comfortable building processes from scratch in imperfect systems
- Excellent written and verbal communication skills, with experience presenting spend efficiency and growth metrics to senior stakeholders
- Entrepreneurial mindset with high ownership, strong prioritization skills, and a bias toward action
What the job involves
- We are hiring a Senior Operations Manager, Growth to own and scale our paid acquisition engine within Snorkel’s rapidly growing Data-as-a-Service (DaaS) business. Our DaaS business sources expert contributors — Masters and PhD holders across STEM, engineering, law, medicine, and other specialized domains — to perform high-quality AI training work for the world’s leading AI labs
- This role reports to the Head of Supply and is responsible for turning ad spend into qualified, domain-matched contributors while maintaining a sustainable cost to acquire
- You will own and manage our paid acquisition strategy, partnering with analytics and GTM teams to develop demand forecasting models using Salesforce and sales pipeline signals, manage the deployment of domain-specific advertisements at scale, and design the dashboards that keep the team honest about performance
- You will work closely with Supply Operations and GTM to ensure that acquisition channels and spend targets are aligned to real demand signals, while ensuring that we are bringing the right users through our funnel
- Own and execute the end-to-end paid acquisition strategy for sourcing expert contributors across specialized domains
- Manage ad channel strategy across LinkedIn and other paid channels — including ad deployment, budget allocation, audience targeting, and creative iteration
- Work with engineering and analytics to ensure that we have proper data attribution across all channels and campaigns, while driving deeper understanding around organic traffic
- Align with associates and coordinate with cross-functional partners to ensure rapid deployment and updates to campaigns
- Shift our operating model from reactive to proactive: develop clear growth signals from sales pipeline data, translating confirmed demand and unconfirmed opportunities into actionable sourcing targets by domain
- Design and own the growth operations dashboard in partnership with Analytics, covering marketing-layer metrics (impressions, clicks, cost per sign-up) and platform-layer metrics (activation rate, CAC, domain match rate)
- Manage weekly campaign performance reporting: flag underperforming campaigns, recommend budget reallocation, and surface spend efficiency trends to leadership
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. And recently, the company raised some serious funding which it plans to use to expand the company;'s engineering, research, and go-to-market efforts.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
May 2025
$100m
SERIES D
Aug 2021
$85m
SERIES C
Total funding: $235m
Company benefits
- Health: Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.
- Wellness: All Snorkelers get a yearly wellness stipend to use on anything related to health and well-being.
- PTO and rest days: We provide unlimited personal time off so you can find your work-life balance. Plus, two company-wide rest days per quarter in addition to company holidays.
- One global team: From our headquarters in Redwood City, CA, to regional offices in San Francisco and New York, we work together as one global team.
- Events: Get to know your fellow Snorkelers outside of work! We host regular events and learning opportunities for our teams across our offices and virtually to connect, have fun, and grow.
- Family leave: Snorkel offers generous parental leave for both birthing and non-birthing parents based on eligibility.
Company HQ
Centennial, Redwood City, CA
Leadership
Alex Ratner
(Co-Founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
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