Context AI — Member of Technical Staff
Now Hiring · Engineering

Context AI

Member of Technical Staff

Seed · Series A Imminent San Francisco, CA · 5 days in office Backed by Lux Capital · Qualcomm Ventures · General Catalyst
Book an informational call → Email Shwetha
The Problem

Every enterprise sits on top of knowledge work nobody can scale.

Fortune 500 companies have thousands of proprietary workflows, procedures, and institutional processes — and no way to put any of it to work at scale. AI tools exist. What's missing is a platform that captures how a company actually operates and deploys agents that can act on it.

Context is building Bedrock — the enterprise platform where humans and AI agents work together on complex, long-horizon knowledge work. Not a chatbot. Not a RAG demo. A production system that learns company-specific procedures, deploys agents into real workflows, and runs inside the secure environments Fortune 500 companies require.

The result: knowledge work that used to require teams of specialists now scales with a fraction of the headcount — and compounds with every run.

$8–10M
ARR at seed stage
5
Fortune 500 customers
2–3yr
Average contract length
Press
TechCrunch "Context gets $11M to build an AI-powered office suite" — May 2025 BusinessWire "Context Launches the World's First AI-Native Office Suite to Automate 2.5 Trillion Hours of Annual Knowledge Work" — July 2025
How We Work

Fewer than 15 people. Features ship to Fortune 100 next week.

01
You build it.
No PM queue, no committee review. Engineers make product decisions and own features end-to-end from design through production. Your architectural choices are the ones that will still be running when this is a large company.
02
You ship it fast.
Features built this week land in Fortune 100 hands next week. You get immediate, high-stakes signal from the most demanding enterprise teams in the world — no abstraction layer between you and the market.
03
You learn from it.
Context's customers run your code in real enterprise workflows. What works and what doesn't comes back to you in days. The feedback loop is as tight as it gets at any stage of company.

SF office · 5 days in person · 9-to-5 enforced (not 996) · Lunch + dinner · Uber comped · $500/month stipend

The Founders

Who's building this.

JS
Joseph Semrai
Founder & CEO
  • Thiel Fellow — one of ~20 selected annually worldwide
  • Left Stanford at 20 to build Context
  • Started in 2024; shipped to Fortune 500 within the year
  • Raised $11M seed at $70M valuation
  • Building the platform that automates 2.5 trillion hours of annual knowledge work
S
Sasank
Co-Founder
  • Leads the first interview call for all MTS candidates
  • Team background spans Apple, Ramp, Stripe, Meta, BAIR, SAIL
  • [Add Sasank's full name + credentials]

Team has built applications with 1M+ users and launched campaigns reaching 180M+ people.

Backed By
Lux Capital (lead) Qualcomm Ventures General Catalyst BoxGroup

$11M seed at $70M valuation · ~$15.75M total raised · Series A imminent. Lux has backed Osmo, Planet, Nuro, and others defining entirely new markets.

Open Roles

Member of Technical Staff — two tracks, one platform.

Both tracks build on Bedrock. The difference is where you spend most of your time.

Forward Deployed Engineer
Member of Technical Staff · FDE Track
San Francisco, CA 0–3 Years TypeScript · React · LLM/Agent Systems
$170K–$250K base · 15–30 bps equity · Visa: O-1 / OPT / H-1B

You're the technical bridge between the Context platform and Fortune 100 customers. You deploy Bedrock into enterprise environments, sit with the customer to understand their workflows, translate what you learn into product, and ship the features that close the gap. Your code reaches customers within a week of writing it.

What You'll Do
  • Ship full-stack TypeScript/React features from design to production
  • Work directly with Fortune 100 customers to understand workflows and translate them into product
  • Make high-judgment calls about what to build based on customer signal, not a roadmap
  • Contribute across the stack wherever you see the highest leverage
  • Shape engineering culture at a company where your decisions have outsized impact
What We're Looking For
  • Has shipped LLM and agent systems past RAG — real agentic workflows in production, not RAG demos
  • Strong full-stack skills with production TypeScript and React
  • Track record of shipping product — what you've built matters more than years of experience
  • High agency: doesn't wait to be told what to work on
  • Comfortable with ambiguity, moves fast in a small team
You're the right person if you've built a real agent system, you can show it working, and you want to own features that land in Fortune 100 hands within a week of shipping them.
Platform Engineer
Member of Technical Staff · Platform Track
San Francisco, CA 5+ Years AWS · Terraform · Kubernetes · LLM Infra
$200K–$350K base · 15–30 bps equity · Visa: O-1 / OPT / H-1B

You're building the infrastructure layer that makes production AI agents possible at enterprise scale. Multi-tenant Kubernetes, Terraform modules, AWS, security — and the specific challenges of running LLM workloads inside Fortune 500 environments with strict compliance requirements. You design the platform, own it in production, and make the calls that determine whether Context deploys into new environments within days or months.

What You'll Own
  • Build and maintain the AWS/Terraform/Kubernetes infrastructure that powers Bedrock at enterprise scale
  • Design for security, compliance (SOC2), and multi-tenancy from day one
  • Build the infra layer that runs LLM workloads reliably in secure enterprise environments
  • Own observability, reliability, and the performance SLAs Fortune 100 customers require
  • Contribute across the stack wherever infra work intersects with product
What We're Looking For
  • Has shipped LLM and agent systems past RAG — AI infra role, not pure DevOps
  • Deep infrastructure background: AWS, Terraform, Kubernetes at production scale
  • Track record of shipping — care is on what you've built, not years of experience
  • High agency: sees the problem and dives in
  • Comfortable owning systems where the customer is a Fortune 100 company
You're the right person if you've managed infra that runs LLM workloads in production, you've operated Kubernetes for real enterprise workloads, and you want to build the platform layer that makes the next era of enterprise AI possible.
Why Join Context

Six reasons this is the right bet right now.

Rare traction at seed
$8–10M ARR with 5 Fortune 500 customers before a Series A. Most seed companies are still looking for product-market fit. Context has enterprise contracts.
Your code ships to Fortune 100 in days
No proxy layer, no lengthy QA cycle. You build something this week, a Fortune 100 team is running it next week. That feedback loop is rare at any stage.
Model-lab talent bar
Team from Apple, Ramp, Stripe, Meta, BAIR, and SAIL. They've shipped apps to 1M+ users and products that reached 180M+ people. You'll be learning constantly.
Equity that matters
15–30 bps at a $70M valuation, Series A imminent. If this works — and the traction says it's working — the equity is meaningful. Early is when it counts.
Backed by the right people
Lux Capital, Qualcomm Ventures, General Catalyst, BoxGroup. These firms back category-defining companies. They're in for the long game.
2.5 trillion hours is the prize
That's how much time humans spend on knowledge work every year. You'd be employee 12 at a company with a real shot at redefining all of it.