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Snorkel AI

Builds training data and test environments for AI

Strategic Delivery Lead

Business OperationsUpdated on Nov 14
Full-time

About the Job

Requirements

  • Ownership of a P&L or business unit, including making pricing and cost trade-offs and accountability for outcomes.
  • Depth in a technical domain such as software engineering, computer use and agents, or an adjacent frontier area, with the ability to assess data quality, engage in technical discussions, and identify relevant experts.
  • A track record of building rather than administering, with demonstrated ownership and accomplishments.
  • Commercial judgment with customers, including running technical discovery conversations, scoping engagements, and handling margin or timeline discussions.
  • Comfort with ambiguity and working effectively with peers who are not direct reports.
  • Typically 8+ years of experience with meaningful time at the described seniority level.
  • Prior people-management experience; 3+ years is preferred.

Responsibilities

  • Own the pod’s margin performance and operating economics, including cost-to-deliver, gross margin, and financial health; track data orders and recognized revenue, challenge decisions that erode margin, provide cost and delivery inputs to pricing, and represent performance in weekly business reviews.
  • Execute the pod’s four-quarter roadmap with Product and Research by translating strategy and priority bets into a delivery roadmap, mobilizing cross-functional teams, and ensuring launches and projects meet quality, speed, and economic expectations.
  • Manage and grow a team of Strategic Project Leads, ensuring projects are delivered on time and establishing a culture of high performance.
  • Connect GTM and Delivery by maintaining visibility into the commercial pipeline, supporting pre-sales and PMM, and communicating delivery plans, capacity, risks, and tradeoffs across the portfolio.
  • Own performance of the full project portfolio, ensuring projects across samples, off-the-shelf datasets, proprietary data products, and bespoke engagements are delivered on time, at high quality, and against expected financial returns.
  • Mobilize Research, Engineering, subject-matter experts, Delivery, and Expert AI Supply; negotiate for capacity and align teams that do not report directly to the role.
  • Build and optimize the pod’s workforce plan with Delivery and Expert AI Supply leadership, staffing projects with the right expertise and planning capacity against current and future demand.
  • Investigate data quality issues and drive the necessary conversations and actions when quality breaks down.
  • Improve margins by challenging staffing models, production pipelines, and other cost drivers, and deliver measurable improvements to the domain’s margin profile.
  • Address recurring problems through systemic improvements to the operating model, tooling, or process.
  • Establish the pod’s operating rhythms, processes, roles, and best practices to create a repeatable model for future pods.
  • Share insights, proven practices, and recurring challenges across pods.

Desired Qualifications

  • Experience in AI/ML data, evaluations, or benchmarks.
  • Experience building a function or business line inside a fast-scaling company.
  • Founder or early-employee experience in a technical product.

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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