Member of Technical Staff

Full-Stack Type Script | React | AI Agents | Forward-Deployed Engineering

Location: San Francisco, CA
• In-Person

Recruiting Partner: Lovefreedom Solution

Lovefreedom Solution is partnering with Context
, an AI platform redefining knowledge work by building secure agents that learn a company’s proprietary intelligence and deploy directly into enterprise environments.
Context is building the office suite for the AI era, helping Fortune 500 companies turn internal knowledge, workflows, and data into intelligent AI systems that support real business execution. This is a rare opportunity to join an early‑stage, high‑velocity team backed by $11M from Lux Capital, Qualcomm Ventures, and General Catalyst, alongside engineers from companies such as Apple, Ramp, Stripe, and Meta.

As a Member of Technical Staff
, you will own products end‑to‑end across a full‑stack Type Script and React platform, work directly with Fortune 100 customers, and help build foundational AI systems that move from idea to enterprise deployment quickly. This is not a traditional engineering role; it is for someone who is highly product‑oriented, AI‑native, customer‑facing, and comfortable operating with extreme ownership in an early‑stage environment.

Context is building at the intersection of enterprise software, AI agents, and proprietary company intelligence. The product is already being deployed into sophisticated enterprise environments, so the features you ship can be in the hands of Fortune 100 companies quickly. Your code, product judgment, and customer insight will directly influence how major companies adopt AI. You will not be buried inside a narrow engineering lane;

you will build across the stack, work directly with customers, ship production systems, and help shape the engineering culture of a company still early enough for your decisions to matter.

As a Member of Technical Staff, you will own and ship products end-to-end across Context’s full-stack Type Script platform. You will work from initial concept through production deployment, owning outcomes rather than simply completing tickets. You will work directly with Fortune 100 customers to understand their workflows, identify high-value opportunities for AI, and rapidly translate those needs into deployed solutions. This role requires strong engineering ability, product taste, customer empathy, and the ability to turn ambiguous enterprise problems into working AI‑native systems.

• Own and ship full-stack products end-to-end across a Type Script and React platform
• Build production-grade systems, not just isolated features
• Work directly with Fortune 100 customers to understand business workflows and technical needs
• Act as a forward‑deployed engineer, embedding with customers to build agents, integrations, and internal tooling
• Build AI systems that connect with proprietary company data, internal workflows, and enterprise tools
• Operate across frontend, backend, infrastructure, integrations, and agent systems
• Move quickly from customer problem to working product
• Make high‑judgment technical and product decisions in ambiguous environments
• Balance speed, quality, scalability, and customer impact
  
  Help define engineering culture, product direction, and technical standards at an early‑stage company
• Use modern AI tools, agents, and automation to accelerate your own engineering output

• 0–5 years of experience in full‑stack software engineering
• Strong production experience with Type Script
• Hands‑on experience with React and backend development
• Experience building and shipping production‑grade systems end-to-end
• Ability to move quickly across the full stack
• Strong systems-level thinking
• Demonstrated ability to build complex products
• Comfort working directly with customers or internal stakeholders
• Ability to operate with high autonomy and limited structure
• Strong product judgment and clear communication skills
• Must be able to work in person in San Francisco
• Must be comfortable with startup hours and a high‑intensity environment

• Experience at a high‑growth, product‑driven startup such as Ramp,…