MTS

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 As a Member of Technical Staff, you’ll be part of the team responsible for the Context platform. You will think end to end about what it means to build the most potent enterprise AI agents and design the best interface to deploy them, and you will have broad autonomy to work wherever you believe the highest leverage is across the entire stack. Our MTS work variously on underlying infrastructure, core features, agent configurations, and user experience. Additionally, you may work closely with our enterprise customers in a forward deployed role. You will own entire features, your code will ship to real customers fast, and your product and technical decisions will shape the course of the company. What You’ll Do Own and ship features end to end across our 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 Contribute across the stack (frontend, backend, infrastructure, agent systems) wherever you see the most leverage Shape engineering culture and practices at an early-stage company where your decisions have outsized impact What We’re Looking For Strong full-stack engineering skills with production experience in TypeScript and React Track record of shipping product. We care about what you’ve built, not how many years you’ve been building Product intuition: you can talk to a customer, identify the real problem, and figure out what to build High agency. You don’t wait to be told what to work on Comfort with ambiguity and moving fast in a small team Nice to Have Experience with AI/ML systems, LLM integrations, or agent frameworks Background working with enterprise customers or in forward-deployed engineering roles Why Context Massive Impact: The potential of enterprise AI is unbounded, and we're at the frontier. At Context, you will build software that transforms the nature of work for thousands of engineers, bankers, analysts, consultants, product managers, lawyers, and more Real Technical Challenges: Design systems no one else has ever built in order to tackle problems that no one else has ever solved Ownership That Matters: We trust our team members to direct influence on product direction and own entire systems. At Context, you propose, build, and ship features with full autonomy and ownership Elite Technical Team: We've assembled a superstar team hailing from Apple AI, Microsoft Research, Google, Stripe, Ramp, and more. Work with and learn from the best

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