Deeptune

Deeptune

Strategic Projects Lead

New York City · Exec

Sponsorship not specified$24k-$48kDetected 217 days ago
PythonSQLMachine LearningAgentic AIForecastingCommunicationProblem Solving

About the role

  • You'll be responsible for managing a distributed team, forecasting timelines, meeting throughput targets, and maintaining a high bar for everything that ships.
  • You'll face ambiguous problems and are expected to solve them in ways that scale across the org.
  • Your work will directly shape frontier models and how they're deployed.

Responsibilities

  • Own delivery end-to-end: You're accountable for data delivery end to end, including deadlines, throughput, and quality
  • Build and lead contributor teams: Recruit, train, and manage a distributed workforce
  • Partner cross-functionally: Work closely with our engineers to scope technical requirements, flag blockers, and ship improvements to our pipeline infrastructure
  • Drive continuous improvement: Identify bottlenecks, inefficiencies, and quality gaps, and then build the solutions
  • You'd rather build a system than do the same task twice.
  • Build and lead contributor teams: Recruit, train, and manage a distributed workforce; turn new hires into high performers

Requirements

  • 2+ years of experience in high-intensity, results-driven environments (startups, consulting, banking, or similar)

Nice to have

  • Experience in data labeling, AI data operations, or similar human-in-the-loop workflows
  • Experience leading or managing teams (even informally)
  • Familiarity with SQL, Python, or similar tools
  • You thrive in ambiguity and figure things out fast
  • You want real ownership and accountability for outcomes
  • You submit an application that will be reviewed by a human
  • Intro call with an Ops team member
  • Live Case Study with another Ops team member

Compensation

  • $24k-$48k

Benefits

  • Solve ambiguous problems: When you find a broken or inefficient process, you will build a scalable solution that the whole org will benefit from

This listing is sourced directly from Deeptune's careers page and normalized into a canonical job model.