Strategic Projects Lead
San Francisco, CAFull-timePosted 4w agoStill listed 3w ago
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Job overview
MangoDesk is hiring a Strategic Projects Lead. MangoDesk is a YC‑backed startup in San Francisco building data infrastructure to bridge AI and the $5 trillion knowledge‑work economy. The team includes engineers from Scale AI and Uber, and the company recently closed an oversubscribed seed round with top‑tier VCs.
Key focus areas include 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, and Report progress directly to the founders and work on impactful problems.
Important skills include SQL, Python, Data Analysis, Reinforcement Learning, Problem Solving, and Communication.
Skills & qualifications
Skills
Qualifications
Full job description
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
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Lead cross-functional projects spanning engineering, operations, and go-to-market.
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Own end-to-end execution of RL Environments delivery for strategic customers and projects.
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Report progress directly to the founders and work on some of the most impactful problems at the company.
REQUIRED QUALIFICATIONS
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Strong technical background — a CS degree is ideal; at minimum, the ability to do data analytics using SQL or Python.
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Strong problem-solving skills and the ability to own ambiguous, cross-functional projects end-to-end, balancing speed vs quality.
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An entrepreneurial mindset — excited to build things from scratch.
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Strong communication skills and a bias toward ownership
PREFERRED QUALIFICATIONS
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2+ years leading a team, developing product or operational processes, or as a SWE
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Prior experience at startups / high-growth companies, in consulting, or tackling operational challenges
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Experience with human data / applied AI - specifically in post-training / RL
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