Context AI — Member of Technical Staff

Type: Full-time | On-site | San Francisco, CA Compensation: $170,000–$350,000 base + meaningful equity Hiring count: 1 Visa sponsorship: Yes — O-1 preferred, OPT supported; H-1B reserved for exceptional candidates (transfer case-by-case) Reports to: Not specified (founder: Sasank)

Context is an AI platform for enterprise knowledge work. It builds agents that continuously learn a company's proprietary intelligence (procedures, data, objectives), gives those agents a native office-suite work surface to perform complex, long-horizon tasks alongside humans, and deploys them in secure environments for Fortune 500 companies. The team comes from Apple, Ramp, Stripe, Meta, BAIR, and SAIL, and has shipped applications with 1M+ users and campaigns reaching 180M+ people.

Founded: 2025 | Team size: 11–50 (Seed) | Total funding: Not disclosed (revenue $8–10M across five Fortune 500 customers on 2–3 yr average deals) Industry: AI Tools Website: context.ai Office: San Francisco, CA Backers: Lux Capital, Qualcomm Ventures, General Catalyst, BoxGroup

• Immediate enterprise signal: Features shipped this week land in Fortune 100 hands the next week — every product bet gets high-stakes signal fast.
• Real traction + backing: $8–10M revenue across five Fortune 500 customers on multi-year deals; backed by Lux Capital, Qualcomm Ventures, General Catalyst, BoxGroup.
• Broad ownership: Own entire features end-to-end across the full stack; product and technical decisions shape the company's direction.
• Pedigreed team: Engineers and researchers from Apple, Ramp, Stripe, Meta, BAIR, SAIL.

• Not provided on the role page.

A Member of Technical Staff owns features end-to-end on the Context platform, working wherever leverage is highest across infrastructure, core features, agent configuration, and UX — and may work with enterprise customers in a forward-deployed capacity.

• →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 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

Tech stack: Full-stack TypeScript/React (FDE track); AWS, Terraform, Kubernetes, security (Platform track); LLM/agent systems

• Has shipped LLM/agent systems past RAG
• 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

• 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

• 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

Salary$170,000–$350,000EquityMeaningful / competitive equityOn-site policySF, in-person 5 daysVisa sponsorshipO-1 preferred · OPT supported · H-1B reserved for exceptional candidates (transfer case-by-case)Experience1–15+ years (role prioritizes what you've built over YOE)Employment typeFull-timeLocationSan Francisco, CA

• None provided on the role page.

Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Intro Call with Sasank, Founder (30 min) — Initial founder conversation. Stage 3 — Technical Round (1–1.5 hrs) — FDE track: customer-facing deployment problem (how to think about deploying to customers; what to configure vs. customize vs. platform). Platform track: Kubernetes / Terraform / infrastructure question. Stage 4 — 1-Day Work Trial. Stage 5 — Offer Extended. Stage 6 — Candidate Hired — Candidate accepts and starts.

Not provided as a distinct section on the role page. Background signals referenced within the criteria: top AI/model labs; recent (last 2) YC batch founders; ex-Palantir, Ramp, Stripe, Databricks; quant/HFT; team backgrounds at Apple, Meta, BAIR, SAIL.

Not provided on the role page.

None on the role page.