Member of Technical Staff
Shared Context Lab
Member of Technical Staff
Shared Context Lab
Adaptive, context-aware personal AI assistant
Shared Context is building adaptive personal AI that understands the texture of real life: our relationships, routines, responsibilities, and goals. We are building technology that adapts to each and every individual person to help them navigate life with ease, care, and intention.
We’re looking for a senior engineer who is hands-on and cares deeply about craft. You will turn ambitious ideas into enduring products and systems while shaping the technical foundation of the company.
We are funded by leading VCs and are a startup-in-residence at the iconic design and innovation firm, IDEO.
Build core agent, product, and infrastructure systems.
Create simulation environments for users, schedules, relationships, and multi-agent interactions.
Develop evaluations for long-horizon agent behavior, reliability, and safety.
Design systems for context, memory, orchestration, and tool use.
Set a high bar for architecture, engineering quality, and product craft.
Help shape the technical roadmap, culture, and team.
Have designed and shipped complex products or systems with significant ownership.
Are deeply experienced in backend and distributed systems; our stack includes Python, Postgres, React, Next.js, and TypeScript.
Have built LLM agents, simulations, evaluation frameworks, or related systems.
Combine strong architectural judgment with product and design instincts.
Bring great product instincts and genuine care for design, UX, and human-centered product development.
Thrive in ambiguity, move quickly, and hold high standards without ego.
This is a high-autonomy high-ownership role with meaningful influence over the product and company.
In person in San Francisco or New York.
Adaptive, context-aware personal AI assistant
Shared Context Lab builds adaptive personal AI that understands the context of a user’s life, including relationships, routines, and goals. Its flagship product, Cue, is a personal AI assistant that works inside text messages and group chats, learning about an individual and helping manage daily life. The company is developing the core systems for context, memory, orchestration, tool use, and multi-agent simulations to power contextual AI that can operate across a user’s communications and apps, with a strong emphasis on human-centered design and usability. Unlike generic chatbots, their approach centers on context-aware, multi-person AI agents that can coordinate schedules and social interactions. The goal is to bring mass-market access to personal AI agents that can navigate complex daily life and relationships.
Explore more opportunities at Shared Context Lab