M

Mid-Senior Full-Stack Product Engineer

madinest • United State
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Own the product surface of an AI assistant, focusing on interfaces for delegation, memory, and real-time collaboration. Lead the frontend development while managing full-stack features from API routes and DB migrations to UI polish. Requires deep React expertise, a strong product sense, and the ability to ship complex web products autonomously.

Key Highlights
Own the end-to-end product surface and user experience of an AI assistant
Build high-performance, local-first client architectures with real-time capabilities
Rapidly iterate from rough ideas to shipped features without needing detailed PRDs
Key Responsibilities
Develop delegation primitives for handing work to the assistant and monitoring progress.
Create surfaces for users to visualize and correct the assistant's learned memory.
Build interfaces for AI-generated routines and custom software apps.
Implement shared real-time sessions for connected assistants and multi-user collaboration.
Ensure a consistent assistant identity across web, iOS, iMessage, Slack, and email.
Optimize client performance using local-first architecture with TanStack Query and IndexedDB.
Develop the first-time user experience and billing funnels.
Technical Skills Required
TypeScript React Postgres
Benefits & Perks
Health insurance
Dental insurance
401(k)
Generous PTO
Gym budget
Lunch
Early-stage equity
Nice to Have
Experience building UIs for LLM-based products (streaming, non-determinism)
Real-time collaboration experience (CRDTs, Y.js, Automerge)
Local-first architectures and sync strategies
Design background or strong visual sense
Experience as a founding or early frontend engineer

Job Description

Location: San Francisco

Employment Type: Full-time

Location Type: On-site

Level: Mid-Senior Level

About the company

We're building an AI assistant that does work for you, not just answers questions. You connect it to the tools you already use (Gmail, Calendar, Slack, Linear, Notion, and a few thousand others) and it runs in the cloud on its own computer, 24/7, whether or not you're online.

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