Senior Manager of Coder Fellows, Snorkel AI
$175-250k
+ equity
The AI data research lab
Be an early applicant
The AI data research lab
501-1000 employees
Be an early applicant
$175-250k
+ equity
501-1000 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- 3+ years of experience in software engineering, technical leadership, or a related environment, including direct management of programmers or software engineers
- A computer-science degree is not required. Experience with AI/ML development, model evaluation, annotation, data quality, or technical-content production is helpful
- Demonstrated experience hiring, onboarding, coaching, conducting performance reviews, delivering actionable feedback, and handling difficult conversations
- Experience managing people across multiple projects, clients, teams, or changing assignments
- Experience in a consultancy, software agency, contract engineering shop, professional-services organization, staff-augmentation model, or similar distributed environment is strongly preferred
- Enough technical depth to read and discuss code and pull requests, assess engineering judgment, and understand core software-development practices
- Ability to evaluate performance thoughtfully rather than relying on throughput, ticket volume, or other simple metrics
- Strong written and verbal communication, sound judgment, discretion, empathy, and a collaborative, low-ego approach
What the job involves
- Coding Fellows create high-quality technical content used to train and evaluate AI systems. Depending on the project and each Fellow’s strengths, their work may include writing and reviewing code, opening pull requests, creating annotations or documentation, improving others’ work, and coaching peers
- We are looking for a leader to directly manage a portfolio of Fellows who may contribute across multiple projects over time. Project delivery teams own day-to-day tasks, priorities, and outcomes; this role owns the people-management layer across projects, including expectations, performance, support, development, administration, and a fair, consolidated view of each Fellow’s contribution
- This is a people-first role. You should have enough technical depth to understand and discuss Fellow work, but you will not be the day-to-day technical lead or approver for every project
- Lead and support Coding Fellows
- Build trusted relationships through regular one-on-ones and ongoing communication. Understand each Fellow’s strengths, goals, challenges, and support needs; set clear expectations; and partner with People Operations and project leaders on onboarding and administrative matters
- Own cross-project performance management
- Set expectations for quality, reliability, collaboration, communication, flexibility, learning, and professional conduct. Gather and synthesize feedback across projects, accounting for assignment complexity, project context, ramp time, and changing responsibilities. Recognize strong performance, provide candid feedback, and address concerns early through focused improvement plans
- Maintain technical credibility and quality
- Review representative work, including code, pull requests, reviews, annotations, documentation, and commentary, to understand quality and development needs. Partner with delivery and quality leads to identify recurring issues and distinguish individual performance concerns from unclear requirements, insufficient context, or process gaps
- Partner with project delivery teams
- Create effective feedback loops with project managers, technical leads, reviewers, and other delivery partners. Establish clear expectations when Fellows join projects, preserve context during transitions, surface assignment mismatches or blockers, and resolve conflicts with fairness and discretion
- Coach growth and strengthen the program
- Hold regular career conversations and help Fellows grow as individual contributors, reviewers, quality specialists, coaches, or mentors. Use contextualized metrics to monitor quality, throughput, reliability, team health, and retention; improve feedback and calibration processes; and contribute to hiring and workforce planning as the program scales
- You own: Fellow support, people administration, performance expectations, consolidated feedback, performance reviews, coaching, development, and long-term success
- Project delivery teams own: day-to-day task assignment, project-specific priorities, delivery plans, immediate deliverable acceptance, and project execution
- You will work closely with delivery teams, but you will not run every stand-up, manage every task, or assess performance using raw activity metrics alone
- What success looks like:
- Coding Fellows understand expectations, receive consistent support, and trust their manager
- Performance reviews reflect evidence across projects—not a single assignment or raw activity metric
- Delivery teams provide timely, specific feedback and know how to partner with the Coding Fellows Manager
- Strong work is recognized, growth is visible, and performance concerns are addressed early
- Fellows transition between projects with clear context and continuous support
- The program improves quality, throughput, collaboration, communication, and retention without compromising fairness or the quality of the work
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
Insights
-13% employee growth in 12 months
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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