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PulseRise Technologies
We're looking for a hands-on operator to take ownership of high-impact, cross-functional projects at a fast-growing AI infrastructure startup. Reporting directly to the CEO, you'll ramp up within your first week and take end-to-end ownership of key data pipelines and the delivery of RL (reinforcement learning) environments for strategic customers and projects.
This role sits at the intersection of engineering, operations, and go-to-market, and is built for someone who wants to build operational processes from scratch rather than inherit them. It's an execution role, not a strategy or advisory one: you'll run your own analysis in SQL or Python rather than routing every question to an engineer.
You'll report progress directly to the founders and work on some of the highest-impact problems in the company. This is a great fit for someone coming from investment banking, private equity, consulting, or a prior strategic projects role who is excited to build in a lean, high-ownership environment.
Schedule: Full time
Location: San Francisco, CA (Onsite)
Start: ASAP
Duration: Long-term
About the project: The company is a YC-backed startup building data infrastructure for the AI industry, including reinforcement learning environments that frontier AI labs use to train and evaluate their models. The mission is to bridge the gap between AI and the multi-trillion-dollar knowledge work economy.
The founding team brings experience from leading AI and tech companies, including Scale AI and Uber, as well as a previously founded and successfully exited AI company. The organization is small and deliberately lean, built around a high-talent-density team with a strong culture of ownership.
The team is early-stage (seed funded, founded in 2025) and moving quickly, with a flat structure where individual contributors have direct visibility to the founders. Work is fast-paced, ambiguous at times, and centered on solving real operational and technical problems rather than managing process.
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