About the Role

As a Strategic Project Lead, you will be responsible for the most critical AI data and evaluation work. This is a high-intensity, high-visibility role where you own delivery, quality, and scalability across some of our most important customer and lab programs.

You will manage multiple high-stakes AI data projects, set the standard for operational excellence, and act as the connective tissue between clients, customers, researchers, procurement partners, Operations leadership, and Product and Engineering. You are comfortable in environments with high pressure and fast change, and you know how to keep teams aligned, motivated, and executing at a very high bar.

What You'll Do

- Managing multiple complex AI data and evaluation projects, ensuring clarity of ownership, priorities, and execution.
- Driving on-time, high-quality delivery across custom data pipelines and expert labeling workflows, with a sharp focus on throughput, quality, and cost.
- Translating researcher and customer needs into clear project plans, scopes, and operational workflows execution.
- Owning performance metrics across your portfolio, including quality, throughput, SLAs, utilization, and margin, and using data to drive continuous improvement.
- Ensuring a top-tier experience for All Lab Fellows, enabling them to produce high-quality, scalable data while feeling supported and informed.
- Partnering with Product and Engineering to evolve internal tooling, workflows, and systems that unlock step function gains in efficiency and quality.

What We're Looking For

- 2-5+ years in operationally intensive roles such as marketplace operations, data operations, data annotation, strategy and operations.
- 2+ years managing high-performing teams in fast-paced, execution focused environments.
- Prior experience in data annotation, investment banking, private equity, or management consulting strongly preferred.
- Experience leading complex, multi-stakeholder projects from initiation through delivery, ideally with AI, data, or technical workflows.
- Background in AI data operations, data annotation, ML ops, or technical services is a strong plus.
- Excellent communication skills.
- Prior experience in AI is helpful but not required; strong operational leadership and systems thinking matter more.

This role works well for people who:

- Want to own a critical piece of the All Lab AI delivery engine and be directly accountable for team performance and outcomes.
- Can move between high-level systems thinking (process design, staffing, metrics) and detailed execution.
- Are comfortable in high-intensity environments where priorities shift quickly, and customer or lab needs can change week to week.
- Who understand that they are responsible for getting projects back on track even in periods of high intensity, including early, late, and weekend work when programs or launches are at critical inflection points.

Why Join Us?

You'll have the opportunity to work in a fast-paced, collaborative environment where your ideas are valued, your impact is visible, and your contributions directly influence the company's growth. If you're passionate about sales, marketing, business development, and building lasting client relationships, we encourage you to apply.
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