Member of Technical Staff -- Context AI

Job Description

Job Description

Member of Technical Staff — Context AI

Location: San Francisco, CA (Onsite)
Compensation: $170,000 – $350,000 base + meaningful equity
Visa Sponsorship: H-1B, O-1, OPT supported
Experience Level: 1–15+ years
Employment Type: Full-Time

About Context AI

Context is the AI platform redefining knowledge work. The team builds agents that continuously learn to capture companies' proprietary intelligence — procedures, data, and objectives — provides the work surface for those agents to perform complex, long-horizon tasks alongside humans within a native office suite, and deploys them in secure environments for Fortune 500 companies.

The team includes engineers and researchers from Apple, Ramp, Stripe, Meta, BAIR, and SAIL — having built applications with 1M+ users, launched campaigns reaching 180M+ people, and forward-deployed products within some of the world's largest teams. Backed by Lux Capital, Qualcomm Ventures, General Catalyst, and BoxGroup, with $8–10M in revenue across five Fortune 500 customers on 2–3 year average deals.

Features shipped this week land in Fortune 100 hands next week — every product bet gets immediate, high-stakes signal from the most consequential corporate teams in the world.

About the Role

As a Member of Technical Staff, you will think end to end about what it means to build the most potent enterprise AI agents and design the best interface for deploying them — with broad autonomy to work wherever you believe the highest leverage lies across the entire stack. You own entire features, your code ships to real customers fast, and your product and technical decisions shape the course of the company.

Two tracks are available:

• Forward-Deployed (FDE) Track: Full-stack TypeScript/React with direct Fortune 100 customer engagement
• Platform Track: Deep infrastructure ownership across AWS, Terraform, and Kubernetes at enterprise scale

What You'll Own

• 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 (FDE track)
• Build the underlying infrastructure (AWS, Terraform, Kubernetes, security) that scales Context 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 where decisions have outsized impact

Requirements

• Has shipped LLM and agent systems past RAG — built real agentic workflows in production, not just RAG demos. Pure RAG-only candidates do not clear.
• Strong full-stack engineering with production TypeScript and React (FDE track) OR deep infrastructure background with AWS, Terraform, Kubernetes (platform track)
• Track record of shipping product — focus is on what has been built, not years of experience
• High agency — does not wait to be told what to work on
• Comfort with ambiguity and moving fast in a small team

Nice to Have

• AI/ML systems, LLM integrations, or agent framework production work
• Enterprise customer experience or forward-deployed engineering background
• Bachelor's from an Ivy+, Berkeley, Stanford, Georgia Tech, or UT
• Last 2 YC batch founder background (FDE track)

Interview Process

1. Pending approval
2. Intro call with Sasank (founder)
3. Technical round
4. 1-day work trial
5. Offer

Logistics

• Role is fully onsite in San Francisco — please only apply if you can commit to this
• H-1B, O-1, and OPT visa sponsorship available

Shortlisted candidates will be contacted by David Joseph & Co. , the recruiting partner managing this search on behalf of Context AI.