Deployment Strategist
Summary
On-site operations role in New York at a stealth-stage AI data-infrastructure startup: you own one data-pipeline vertical end-to-end, QA 50-100+ data tasks daily, and manage a contributor network to keep quality and output high, working with AI tools and Excel.
New York, NY · On-site · Full-time
Compensation: $180K–$240K base + $50K–$75K target bonus + equity
About the Company
Our client is a stealth-stage AI infrastructure company (founded 2025, around 30 people) building next-generation data infrastructure for leading AI labs. They already work with top labs across high-impact capability areas and are expanding into new domains. The founding team comes from senior leadership roles at a major frontier lab and a large AI infrastructure company.
Founded 2025 · Industry: AI, Data Infrastructure
The Role
You would own a single data pipeline vertical end-to-end, becoming the expert on its platform and contributor network and keeping the whole operation running accurately and on time. This is a hands-on operational role, not a strategy or slide-deck seat.
What you'll be doing
- Own a data pipeline vertical end-to-end, learning the platform, categories, and workflow in depth
- Manage a contributor network to keep quality and output high
- QA 50–100+ data tasks daily, catching errors and triaging with engineering and support
- Coordinate across engineering, support, contributors, and clients to resolve issues quickly
- Build and refine operational workflows to keep data accurate
Tech stack: AI tools, Excel
Requirements
- 1–2 years in an operationally intense role such as investment banking, consulting, or operations at a high-growth startup
- A track record of hands-on, in-the-weeds execution in fast-paced, ambiguous environments
- Exceptional attention to detail, comfortable reviewing large volumes of tasks for quality
- Highly proactive and independent, able to identify and solve problems without hand-holding
- Willing to work extended hours during peak periods (roughly 55–75 hours/week at peaks)
- Degree from a strong (top-50) university; a quantitative major is a plus but not required
Nice to Haves
- Prior experience facilitating a human data labeling pipeline
Why Join
- Work at the center of the AI data infrastructure powering leading frontier labs
- Join early and help shape critical infrastructure as one of the first hires in this function
- Strong compensation: competitive base plus bonus, equity, full health coverage, 401k match, and relocation support
- Visa-friendly: open to transfers and new sponsorships
Details
- Location: New York, NY
- Work policy: On-site, 5 days per week
- Compensation: $180K–$240K base + $50K–$75K bonus + equity
- Visa sponsorship: Open to transfers and new sponsorships
- Employment type: Full-time
