About the Company
Context is the AI platform to redefine knowledge work. We:
Build agents that continuously learn to capture companies’ proprietary intelligence, including procedures, data, and objectives
Provide the work surface for them to perform complex, long-horizon tasks alongside humans in a native office suite
Deploy them in secure environments to Fortune 500 companies
We are a fast-moving team of engineers and researchers from Apple, Ramp, Stripe, Meta, BAIR, and SAIL. We’ve built applications with 1M+ users, launched campaigns reaching 180M+ people, and forward deployed products in some of the world’s largest teams. We’re fortunate to be backed by Lux Capital, Qualcomm Ventures, General Catalyst, and BoxGroup.
Most companies must choose between iterating on product fast and working with the biggest enterprises on earth. We have the rare privilege of doing both. Features we ship this week are in the hands of teams at Fortune 100 companies next week, meaning every product bet we make gets immediate, high-stakes signal from some of the most consequential corporate teams in the world.
Role Summary
Our Summer Internship is meant for the best and brightest students looking for an opportunity to work at a high-growth, fast-moving startup and occupy a role with significant responsibility. At Context, you'll be able to work on the work that you deem highest leverage and shoulder significant responsibility, whether by shipping code that goes directly into production or interfacing directly with our Fortune 500 clients. Our summer interns last summer built platform integrations that were used directly by a major client.
Compensation: $80k-$120k annual prorated
Interview process: initial behavioral screening, take-home case study or technical interview, and two day work trial. Work trial timing is highly flexible.
Work location/schedule: San Francisco, CA.
What We’re Looking For
High agency and comfort with ambiguity. You hustle hard and do whatever it takes to find solutions
Excellent communication skills. You're comfortable in a room with senior operators and can earn their trust quickly
That's it.
Nice to Have
Technical fluency (fullstack engineering experience)
Build, deploy, and improve AI agents. The unified platform for enterprise AI: workspace, engine, context graph, and evals on your stack.
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