Today’s AI has a jagged intelligence surface. It is superhuman on well-defined benchmarks like the International Math Olympiad, but falls short in many real world domains.
Haize Labs brings superintelligence to the long tail of these domains through our agent foundry, which enables agent performance at parity with or better than domain experts.
Our agents are being deployed across many, many verticals. We are hiring a Product Slinger to 1) originate products in new verticals and 2) rapidly scale and refine our products in existing verticals. This role spans engineering (rapidly building AI agents), product (embedding with customers to understand their pain), and customer management (scoping, planning, relationship-building).
In this role, you will:- Build agents for almost any business you can imagine
- Become a renaissance engineer, i.e. an expert across many domains
- Spend a LOT of time with the customer
- Rapidly (<24 hours) prototype solutions
- Be the PM: own entire solution delivery from scoping to handoff
- Are relentless, move insanely fast, and are always questioning the status quo
- Know the startup stack, and realize when tech debt is necessary
- Want to deliver real economic value for real people doing real work in the real world
- Have been an FDE
- Previously started their own company
- Shipped popular tools (e.g. OS projects)
- Education requirement: doesn’t matter. If you are exceptional, you are exceptional.
- Location policy: NYC/SF.
- US visa sponsorship: If you are exceptional, we will sponsor.
$150,000 – $250,000 annual salary
And generous equity + benefits
Skills Required
- 4+ years of experience building user-facing products
- Deep knowledge of modern web technologies such as TypeScript and React
- Proficiency in Python, Go, or Rust
- Experience using relational and NoSQL databases like Postgres, MongoDB, and Redis
- Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field
What We Do
haize labs is the robustness and reliability layer underlying any AI model, in any industry, for any use case. to solve the robustness problem, we haize (i.e. stress-test and red-team) AI models to preemptively discover all their failure modes before production.
