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Context.dev

4 open roles indexed with location, benefit, and apply-link signals where available.

ATS: ashby

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  • Summer Intern

    San Francisco Office | OnSite

    onsite $80K-$120K

    Summer Intern San Francisco Office | OnSite 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

  • MTS

    San Francisco Office | OnSite

    onsite Salary not disclosed

    MTS San Francisco Office | OnSite 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

  • Deployment Strategist

    San Francisco Office | OnSite | New York City Office

    onsite $180K-$350K

    Deployment Strategist San Francisco Office | OnSite | New York City Office 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 Deployment Strategist at Context, you'll be the bridge between our platform and the industries we serve. You bring deep domain expertise in your field (investment banking, private equity, hardware engineering, consulting, or similar) and a conviction that AI can transform how work gets done in that field. You'll develop the strategy for how Context deploys into companies in your industry

  • Forward Deployed Engineer - MTS

    San Francisco Office | OnSite

    onsite Salary not disclosed

    Forward Deployed Engineer - MTS San Francisco Office | OnSite 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. WHAT YOU'LL DO At Context AI, the Forward Deployed Software Engineer (FDSE) role is where cutting-edge AI meets real-world complexity. You'll embed directly with Fortune 100 customers to build AI agents that execute complex, high-stakes work-not just chat or simple automation. As an FDSE, you'll be at the intersection of frontier language models and institutional intelligence, building systems that perform production-quality work knowledge workers do every