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Strategic Projects Lead

MangoDesk
Posted a day ago, valid for 17 days
Location

San Francisco, CA, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

info
  • The company is a YC-backed startup focused on bridging the gap between AI and the knowledge work economy.
  • The role involves leading cross-functional projects and owning the execution of RL Environments delivery for strategic customers.
  • Candidates should have a strong technical background, ideally with a CS degree, and the ability to perform data analytics using SQL or Python.
  • A minimum of 2 years of experience in leading teams or developing operational processes is preferred for applicants.
  • The position offers a competitive salary, reflecting the startup's dynamic environment and growth potential.

Company Overview

We're a YC-backed startup on a mission to bridge the gap between AI and the $5T knowledge work economy through cutting-edge data infrastructure and environments. We're a technical team with experience from Scale AI, Uber, and previously founding a successful AI company. We're based in San Francisco, CA, and recently raised an oversubscribed seed round led by top-tier VCs.

What You'll Do

  • Lead cross-functional projects spanning engineering, operations, and go-to-market.

  • Own end-to-end execution of RL Environments delivery for strategic customers and projects.

  • Report progress directly to the founders and work on some of the most impactful problems at the company.

Required Qualifications

  • Strong technical background — a CS degree is ideal; at minimum, the ability to do data analytics using SQL or Python.

  • Strong problem-solving skills and the ability to own ambiguous, cross-functional projects end-to-end, balancing speed vs quality.

  • An entrepreneurial mindset — excited to build things from scratch.

  • Strong communication skills and a bias toward ownership

Preferred Qualifications

  • 2+ years leading a team, developing product or operational processes, or as a SWE

  • Prior experience at startups / high-growth companies, in consulting, or tackling operational challenges

  • Experience with human data / applied AI - specifically in post-training / RL




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