Job Overview
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Job Description
About Basis
Basis builds real agents that do real work in the real economy. Our agents operate for hours at a time, performing end-to-end work for some of the largest accounting firms in the world.
We recently raised $100M at >$1B valuation and are racing to deploy the most advanced applied ML at production scale.
Our investors include: Khosla Ventures (Keith Rabois & Vinod Khosla), Accel (Miles Clements), Google Ventures, Nat Friedman & Daniel Gross, Adam D'Angelo, Jeff Dean, Jack Altman, Noam Brown, Kyle Vogt, Amjad Masad, Clem Delangue and many other operators/technical leaders.
"Basis is on the frontier of building production-grade, long-horizon agents. They've pushed the limits of what we thought our models could do on real-world, economically valuable, complex accounting tasks. They've been a great collaborator in helping us shape what the future of agents looks like." — Prashant Mital, Applied AI Lead, OpenAI
About The Role
Spearhead our most complex problems
Benefits At Basis
We offer a competitive and thoughtful benefits package designed to support your physical, mental, and financial well-being:
- Health & Wellness: Premium Medical, Dental, and Vision coverage; Life Insurance; and 6 coaching & 6 therapy sessions through Spring Health.
- Time off: Unlimited PTO + 12 paid company holidays.
- In-Office Perks: Daily meal stipends, a fully stocked kitchen, and $300 toward your custom desk setup.
- Financial Benefits: Pre-tax commuter benefits and 401(k) retirement plan
- Team Culture: Monthly office activities and frequent optional team happy hours.
- Parental Leave
Key skills/competency
- Technical Program Management
- Applied Machine Learning
- Production Scale ML
- Agent Development
- AI Operations
- Cross-functional Leadership
- Problem Solving
- Strategic Planning
- Project Management
- Software Development Lifecycle
How to Get Hired at Basis
- Tailor your resume: Highlight experience in technical program management, applied ML, and production deployments.
- Showcase problem-solving skills: Provide examples of spearheading complex initiatives and driving results.
- Research Basis: Understand their mission of building real agents for the real economy.
- Prepare for technical discussions: Be ready to discuss ML concepts and production-scale challenges.
- Express passion for AI: Demonstrate your enthusiasm for shaping the future of AI agents.
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