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Strategic Projects Lead

Seekless can write your résumé for this posting first.
Before you apply
SalaryNo pay range posted
LocationSan Francisco
Work modeon-site
Typefull-time
SeniorityLead
DepartmentOperations
Company size1–10 people
PostedAug 14, 2026 · 2mo ago
Verified live20h ago
California law requires most employers to post a pay range.
At a glanceSummarised by Seekless from the posting.
Strong technical background — a CS degree is ideal
Ability to do data analytics using SQL or Python
Strong problem-solving skills and ability to own ambiguous, cross-functional projects end-to-end
An entrepreneurial mindset — excited to build things from scratch
Strong communication skills and a bias toward ownership
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
Skills
SQL
Python
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.
•
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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