Job description

As a Member of Technical Staff, you’ll work closely with the founders and engineering team to expand our core product and take on new zero-to-one initiatives. You'll work closely with customers, solve challenging technical problems around hardest high-value enterprise tasks, and ship features that create immediate real-world impact. This is a rare opportunity to influence both the technology and culture of a venture-scale company from the early stage. What you’ll do • Own technical decisions across the stack, from AI tools to backend architecture and deployment. • Work on the core product which allows customers to teach agents as they would teach a new hire on specialized knowledge work. • Solve challenges related to custom agent harnesses, large-scale agent infrastructure, verification of agent outcomes at scale, proactive agents, tribal knowledge elicitation, enterprise AI deployments and more. • Lead new zero-to-one initiatives for the expansion of the core product offering. • Collaborate directly with customers and founders to turn feedback into product improvements. What we’re looking for • 3+ years of software engineering or research experience; startup or high-growth experience is a plus. • Strong fundamentals in AI research, AI solutioning, or full-stack engineering and system design. • Comfort working in ambiguous, fast-moving environments. • An entrepreneurial mindset and willingness to take projects from an initial idea through delivery. Why join • Redefine and accelerate the diffusion of AI in the enterprises today. • Build core systems that define the trajectory of the company while working directly on hard customer problems. • Competitive compensation including significant equity with massive upside. • Backed by top-tier investors and multiple enterprises already running in production. • Access to the best operators, capital, and networks in the industry. • Learn what it takes to build a successful company. • Work directly with experienced founders with AWS/FAIR/Hugging Face backgrounds and world-class investors. • Opportunity to have outsized ownership and impact at the earliest stage.

Requirements

Must-haves

What you’ll do
Own technical decisions across the stack, from AI tools to backend architecture and deployment.
Work on the core product which allows customers to teach agents as they would teach a new hire on specialized knowledge work.
Solve challenges related to custom agent harnesses, large-scale agent infrastructure, verification of agent outcomes at scale, proactive agents, tribal knowledge elicitation, enterprise AI deployments and more.
Lead new zero-to-one initiatives for the expansion of the core product offering.
Collaborate directly with customers and founders to turn feedback into product improvements.
What we’re looking for
Strong fundamentals in AI research, AI solutioning, or full-stack engineering and system design.
Comfort working in ambiguous, fast-moving environments.
An entrepreneurial mindset and willingness to take projects from an initial idea through delivery.
Redefine and accelerate the diffusion of AI in the enterprises today.
Build core systems that define the trajectory of the company while working directly on hard customer problems.
Competitive compensation including significant equity with massive upside.
Backed by top-tier investors and multiple enterprises already running in production.
Access to the best operators, capital, and networks in the industry.
Learn what it takes to build a successful company.
Work directly with experienced founders with AWS/FAIR/Hugging Face backgrounds and world-class investors.
Opportunity to have outsized ownership and impact at the earliest stage.

Nice-to-haves

3+ years of software engineering or research experience; startup or high-growth experience is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiaws

Platform: gem
Effort: medium