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Salary
$175k – $220k per year
Location
In office (New York)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 9, 2026. Replay scores A on the Alion truth index.

Overview
Company
Impact
Profile match

About Replay

At its core, Replay was founded to help founders. We started by supporting startups through shutting down, but we've since expanded into unlocking a new revenue stream for all types of businesses.

In 2025, we earned a secret: the data every company generates on a daily basis (collaboration, communication, building) is some of the most valuable training data in the world. Public and synthetic can only get frontier models so far, so the next generation of model progression depends on real, proprietary data grounded in how actual businesses operate. We're a primary source of it, partnering directly with the frontier AI labs building what's next.

Why join Replay now:

  • We've scaled from $0 to a multi-eight figures run rate in a matter of months

  • We've raised from top-tier investors (Floodgate, Afore, Ludlow, Hustle Fund, etc.)

  • We're small enough that you'll carry outsized responsibility and grow as fast as the company does

  • You'll partner and build for the fastest and most important companies in the world

  • You'll be a part of building a massive, category-defining business from the ground floor

The Role

Replay is hiring a Strategic Project Lead to own our most important engagements with frontier AI labs, end to end. You'll take a lab's goals for the data they need, turn them into a scoped, high-quality delivery, and run it through to completion, working directly with the lab's researchers on one side and our internal team and partner companies on the other. This is a high-ownership role for someone who is as comfortable in a research conversation as they are in the operational weeds.

What You'll Do

  • Own multi-million-dollar data projects with frontier AI labs - from first scoping conversation through successful delivery

  • Be the primary point of contact for lab research and data teams: translate what they're trying to improve in their models into concrete data specs, quality requirements, and timelines

  • Build relationships and trust with Replay’s clients - proactively anticipating needs, identifying opportunities for expansion, and ensure world-class execution under demanding timelines

  • Work with our partner companies and internal teams to source, structure, and deliver data, and remove blockers as they appear

Required aptitude

  • 2-3+ years in a high-pressure, high-ownership environment, such engineering or technical program/account management at a startup

  • Track record of owning complex, ambiguous projects with multiple stakeholders and external clients, and delivering on them

  • Comfort engaging directly with external stakeholders, including high-profile technical and research counterparts: you're curious about how models are trained and evaluated, and can hold your own in those conversations

  • Strong analytical skills: you can structure messy problems, work with data, and build the metrics that tell you if a project is on track

  • Excellent written and verbal communication, including with senior external stakeholders

  • Gritty, action-oriented, and happy to roll up your sleeves

Bonus

  • Experience at or working with a frontier AI lab, or a data/evaluation vendor in the AI space

  • Experience in forward-deployed, solutions, or client-facing delivery roles

  • Hands-on experience with data pipelines, RL environments, evals, or model post-training

  • Previously a founder or early employee at a startup

Compensation & Benefits

  • $175-220K base salary

  • Meaningful equity

  • 100% covered medical, dental, and vision

  • Unlimited PTO

  • Free gym + workout class memberships (via Wellhub)

  • $500 desk allowance

  • Up to $15,000 relocation bonus where applicable

How We Hire

  • Intro Chat (20 min): mutual fit and interests

  • Technical Screen (1hr): review past work and technical discussion

  • Take home: build challenge

  • Onsite (~3 hrs): present your project, meet the team, have snacks

  • References -> Offer

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