Forward Deployed Engineer - MTS

About the role

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.

Responsibilities

• Collaborating with engineers on architecture and design decisions for AI agents that execute complex workflows
• Wrangling massive-scale data -integrating codebases, operational systems, data rooms, and proprietary datasets into stable pipelines that ground AI in institutional intelligence
• Building custom AI workflows tailored to customer needs: engineering diagnostics, financial analysis, client deliverable generation, code shipping
• Developing integrations that connect Context agents to customer tools and systems-Slack, Linear, Google Workspace, proprietary platforms
• Engineering the learning flywheel -building systems that capture subject matter expert feedback and continuously improve AI agent capabilities
• Engaging directly with customer stakeholders , from engineers and analysts to executives, understanding their workflows and demonstrating AI impact
• Shaping team strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value and measurable productivity gains
• Embedding product insights from customer deployments into Context's core platform, turning customer-specific solutions into cross-customer capabilities
• What We Value
• Agency: Innovation happens when team members think from first principles and go above and beyond to achieve objectives-not by simply completing tasks
• Strong Engineering Fundamentals: A highly analytical approach and eagerness to solve technical problems with data structures, distributed systems, cloud infrastructure, APIs, and modern frameworks
• Obsession with Execution Quality: Understanding the difference between AI that assists and AI that executes production-quality work-and building systems that achieve the latter
• Comfort with Ambiguity: Experience or curiosity about working with massive-scale, unstructured data to solve valuable business problems where "how we do things" isn't documented
• Product Creativity: Our engineers don't just turn inputs into outputs. We expect team members to think creatively and invent ways to improve the

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Company Intel

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