Deployment Strategist

• →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

• 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

• Prior experience facilitating a human data labeling pipeline

• 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