Context Logo

Context

MTS

Reposted 2 Months Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
As a Member of Technical Staff, you will manage feature development for the Context AI platform, working across the full stack and engaging with Fortune 100 customers to shape product direction.
The summary above was generated by AI
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

HQ

Context Palo Alto, California, USA Office

Palo Alto, California, United States, 94306

Similar Jobs

2 Days Ago
Hybrid
San Jose, CA, USA
Senior level
Senior level
Big Data • Internet of Things • Software
Supports international customers using Rambus DDR4 and DDR5 memory interface chips. Responsibilities include debugging server memory, DRAM, DIMM, BIOS, and signal integrity issues; qualifying and validating new chip designs; conducting failure analysis and 8D reporting; using laboratory equipment and scripting for analysis and automation; preparing technical documentation; and communicating with customers, engineering, marketing, and management. Requires electrical engineering expertise, server platform knowledge, English and Korean communication skills, and international travel.
Top Skills: Amd Server PlatformsAte TestersBiosDdr4Ddr5DimmDramHigh-Speed OscilloscopesI2CI3CIntel Server PlatformsMrc BiosPerlPythonSignal IntegrityTcl
6 Days Ago
In-Office
San Francisco, CA, USA
117K-194K Annually
Mid level
117K-194K Annually
Mid level
Cloud • Software
Execute hands-on penetration tests across web applications, APIs, cloud infrastructure, Kubernetes, Docker, identity systems, and AI/ML platforms. Perform manual exploitation, attack chaining, privilege escalation, business logic testing, and identity abuse. Support engagement scoping, risk assessment, reporting, and remediation guidance while collaborating with engineering, AppSec, and detection teams. The role also involves developing scripts and payloads, participating in bug bounty activities, and assessing AI and LLM security risks.
Top Skills: Ai/Ml SystemsAPIsAutomation ToolsCloud InfrastructureCustom ScriptingDockerHybrid CloudKubernetesLlmsPayload DevelopmentWeb Applications
8 Days Ago
In-Office
San Francisco, CA, USA
150K-300K Annually
Entry level
150K-300K Annually
Entry level
Artificial Intelligence • Professional Services • Software • Analytics
Build net-new AI products for high-stakes decision simulations while partnering with principals as a core product owner. Develop novel data-gathering techniques using voice and analysis agents, and post-train models to improve automated data procurement and analysis pipelines. The role combines product ownership, software engineering, and research in an intense, in-person San Francisco environment.
Top Skills: AIAnalysis AgentsData PipelinesMachine LearningVoice Agents

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account