What you’ll do
- Own delivery end-to-end: You’re accountable for data delivery end to end, including deadlines, throughput, and quality
- Solve ambiguous problems: When you find a broken or inefficient process, you will build a scalable solution that the whole org will benefit from
- Build and lead contributor teams: Recruit, train, and manage a distributed workforce; turn new hires into high performers
- 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
SPLs are obsessed with both quality and velocity. You’ll combine analytical rigor, quantitative thinking, strong judgment, and creative problem-solving to move data efficiently through complex systems – often with imperfect information.
About You
You're a self-directed operator who takes ownership without being asked.
You'd rather build a system than do the same task twice.
You're motivated by the chance to shape how frontier AI gets built.
You are motivated by ownership, impact, and building frontier tech.
Your work is a craft you want to master.
You thrive in ambiguity and love hard problems.
You appreciate diverse perspectives and uncommon ideas.
You are excited about building in-person, 5 days a week, from our office in Union Square NYC.
Ideally, you have:
- 2+ years of experience in high-intensity, results-driven environments (startups, consulting, banking, or similar)
- A track record of owning outcomes and delivering under pressure
- Strong problem-solving skills, a bias toward action, and a data-driven approach to improving systems and processes
- Clear communication skills, especially with technical teams
- The ability to move between hands-on execution and systems-level thinking
- An entrepreneurial mindset to quickly build from 0 to 1
- Genuine interest in AI / ML systems
Bonus points if you 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