San Francisco, CA · On-site · Full-time Compensation: $170,000–$350,000 + equity
About the Company
An early-stage (Seed, founded 2025) enterprise AI company building agents for Fortune 500 knowledge work. Its agents continuously learn an organization's proprietary procedures, data, and objectives and operate within a native office-suite work surface to perform complex, long-horizon tasks alongside humans, deployed in secure enterprise environments. The company has real revenue across multiple Fortune 500 customers on multi-year deals and is backed by leading venture investors.
Founded 2025 · 11–50 people · Industry: AI Tools
The Role
As a Member of Technical Staff, you own features end-to-end on the platform, working wherever leverage is highest across infrastructure, core features, agent configuration, and user experience. You may also work with enterprise customers in a forward-deployed capacity. Your code ships to real customers fast, and your product and technical decisions shape the company.
What you'll be doing
Ship features end-to-end across the full-stack TypeScript/React application, from design through implementation to production
Make high-judgment calls about what to build next based on customer needs, technical debt, and product opportunity
Work directly with Fortune 100 customers to understand their workflows and translate that into product (forward-deployed track)
Build the underlying infrastructure (AWS, Terraform, Kubernetes, security) that scales the product to enterprise deployment (platform track)
Contribute across the stack wherever you see the most leverage
Shape engineering culture and practices at an early-stage company
Full-stack TS/React (FDE) or AWS/Terraform/K8s (Platform)
Track record of shipping product
High agency, comfort with ambiguity
Top AI lab or top-tier startup pedigree
SF in-person 5 days
Green Flags
Built agent systems past RAG out of personal interest.
Top AI lab pedigree (model lab talent bar) OR last 2 YC batch founder with shipped agentic product OR ex-Palantir/Ramp/Stripe/Databricks engineer with LLM systems work
Quant/HFT background.
Customer-facing engineering background (Palantir FDE archetype, ex-solutions engineer who transitioned from pure SWE) for the FDE persona
Real platform engineering depth for the Platform persona: 5+ years infra, AWS/Terraform/Kubernetes, security-oriented, has scaled large systems
Red Flags
Pure RAG-only candidate without agent system depth
MSL project manager (vs. engineer) profile.
Default Amazon profile without exceptional signal.
Master's-only candidate without strong bachelor's pedigree from Ivy+/Berkeley/Stanford/Georgia Tech/UT
New grad with only one notable internship and no demonstrated shipping track record
Why Join
Features you ship reach large enterprise customers within days — fast, high-stakes feedback on every product bet
Broad ownership across the full stack at an early-stage company where your decisions shape direction
Real enterprise traction and strong financial backing
Details
Location: San Francisco, CA
Work policy: On-site, 5 days/week
Compensation: $170,000–$350,000 + equity
Visa sponsorship: O-1 preferred · OPT supported · H-1B for exceptional candidates (transfer case-by-case)