Strategic Projects Lead

Posted 3 Days Ago
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Brooklyn, NY, USA
In-Office
Junior
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Owns customer research projects end to end, from scoping and contributor orchestration through quality assessment and dataset delivery. Recruits and manages expert contributors, tracks shifting milestones, evaluates output quality, and ensures deliverables meet researchers’ standards. This hands-on role combines project operations, strategic decision-making, product management, stakeholder coordination, and customer partnership in a fast-moving frontier AI environment.
Summary Generated by Built In
About Us

Chakra Labs' mission is to encode human taste into intelligence. We build high-fidelity environments, evals, and datasets for frontier AI research, working with several of the top labs.

Our work sits at the frontier of post-training, agent environments, data quality, and research infrastructure. We care about building systems that make models better in ways that are measurable, useful, and hard to fake.

What You'd Work On

The Strategic Projects Lead owns a customer project from end to end. This typically looks like taking a vague research goal from a lab to a delivered dataset a researcher actually trusts. It is the most operationally intense seat at Chakra and the one sitting closest to the customer.

We are looking for someone that is able to deeply understand a given spec, own the relationship between a variety of stakeholders, and fulfill deliverables at a high quality bar.

As an SPL you would:

  • Own multi-project delivery end to end, which may include scoping, contributor orchestration, quality assessment, and shipping.

  • Recruit and manage a pool of expert contributors who build gyms and trajectories.

  • Track and prioritize milestones for project completion in a space where requirements may shift overnight.

  • Assess delivery quality regularly before they are sent to a customer.

This is a hands-on operations role, which involves a mix of strategy and product management. The work is specification, coordination, judgment, and follow-through at a rapid pace set by labs that want the data as soon as possible.

About You
  • Operationally intense background. Consulting, banking, private equity, startup operations, ex-founder, or time in the human-data industry. Roughly 2+ years, but we can make exceptions. What matters is that you have experience with creating positive outcomes for customers on a deadline.

  • Technical-adjacent. You would spend time around trajectories, verifiers, and evals.

  • Taste, and the ability to defend it. You can look at a batch of work from experts and tell what's genuinely useful to a researcher versus what merely looks complete.

  • You lead through influence, not authority. Your contributors are experts with other priorities across time zones. None of them report to you. You get quality and pace out of them through clear specs, credibility, and follow-through.

What Makes This Different
  • Your projects directly impact our business. You’ll be given project ownership from day one. You will have to think quickly, set priorities, and ship decisions that directly affect whether customers do business with us.

  • The customers are researchers, not business relations or procurement. Because you’re partnering directly with researchers, you’ll develop taste for the deeper model failures and the market dynamics driving them.

  • You’ll stay close to the cutting edge of frontier model research. Since you will be iterating on real deliverables (gyms, trajectories, and eval artifacts), you’ll build an intuitive sense for how the frontier is shifting.

  • The team. Our team is ex-Stripe, Snap, AWS, Microsoft, Airtable. You'll work with a small team who has years of shipping high-impact products over the last decade.

Skills Required

  • Approximately 2 or more years of experience in consulting, banking, private equity, startup operations, as a founder, or the human-data industry
  • Experience creating positive customer outcomes under deadline pressure
  • Ability to work in a technical-adjacent environment involving trajectories, verifiers, and evaluations
  • Strong judgment and taste to assess whether expert-produced work is genuinely useful to researchers
  • Ability to defend quality judgments and decisions
  • Ability to lead contributors through influence rather than formal authority
  • Ability to create clear specifications, establish credibility, and follow through with expert contributors across time zones
Am I A Good Fit?
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The Company
4 Employees

What We Do

Chakra Labs sources differentiated, proprietary data from end consumers — giving AI teams access to mission critical datasets for inference and post-training.

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