Collinear AI
Chief of Staff
San Francisco, CA · Exec
Sponsorship not specifiedDetected 5 days ago
Machine LearningCadenceResearchLeadership
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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Files H-1B transfers
1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 9 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- You'll turn our most important priorities into decisions, coordinated execution, and measurable results.
- This is a hands-on role for someone who can move between strategy and execution, earn the trust of technical and commercial teams, and take ownership when the path is unclear.
Responsibilities
- Drive company priorities. Work with the CEO and functional leaders to define the highest-impact goals, assign owners, resolve dependencies, and follow through on commitments.
- Own critical projects end to end. Take ambiguous problems from diagnosis to delivery across research, engineering, customer delivery, and go-to-market. Establish what success means, do the work, and build a repeatable process where it helps.
- Build our operating cadence. Run focused planning and leadership reviews, maintain a useful view of company metrics, and make decisions and accountability clear without adding unnecessary process.
- Extend the CEO's effectiveness. Prepare decision briefs, investor and board materials, and internal communications. Ensure important customer, partner, and investor conversations lead to concrete next steps.
- Make us more effective with AI. Build and improve AI-assisted workflows for research, reporting, and operations. Evaluate their accuracy and usefulness, and keep human judgment where it matters.
- Relevant paths include startup operations, product, business operations, consulting with execution experience, or building a company yourself.
Requirements
- A track record of taking difficult, loosely defined projects through to measurable results in a fast-moving environment.
- Strong analytical judgment: you can work with data, understand business economics, test assumptions, and explain your conclusions clearly.
- Practical experience using AI tools to improve your work, including checking their outputs and knowing their limits.
- We care more about what you've built and delivered than a particular title, degree, or career path.
- A track record of taking difficult, loosely defined projects through to measurable results in a fast-moving environment. Relevant paths include startup operations, product, business operations, consulting with execution experience, or building a company yourself.
- Technical curiosity and fluency. You can learn how AI training, evaluations, and agent workflows work and collaborate credibly with researchers and engineers. You don't need to be an ML researcher.
- Excellent writing and communication. You distill complex information, surface disagreement constructively, and help teams reach decisions.
- Initiative, discretion, and dependable follow-through. You handle sensitive information thoughtfully and influence across teams through trust and sound judgment.
- Experience with AI infrastructure, enterprise customers, data operations, or a technical founder-led company is especially useful. We care more about what you've built and delivered than a particular title, degree, or career path.
- WHAT SUCCESS LOOKS LIKE IN YOUR FIRST 90 DAYS
- You understand our customers, product, delivery process, and business priorities well enough to identify the most important operational bottlenecks.
- You've established a lightweight planning and review cadence with clear owners, actionable metrics, and reliable follow-through.
- You've delivered a meaningful cross-functional project and improved at least one recurring workflow using AI, with a measurable benefit.
- The CEO and team will have clearer priorities, faster decisions, and more time for their highest-impact work.
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This listing is sourced directly from Collinear AI's careers page and normalized into a canonical job model.