Join the Team
Build the context infrastructure that keeps AI agents aligned with business strategy.
Our Mission
Building contextual product intelligence for AI development teams. AI coding agents build fast but lack business context. Brief gives them memory of past decisions, customer requirements, and technical constraints. Code that ships because it serves the strategy, not just the syntax.
Meet the Team
Drew Dillon
Seasoned B2B SaaS leader with 15+ years driving product innovation. Former CPO, VP of Product, and early PM at high-growth startups and enterprise tech giants.
Stephan Leavens
Product design leader with 12+ years in Human-Computer Interaction and a background in B2B SaaS. Former first designer at multiple Bay Area startups and early AI pioneer at Chorus.ai. Led design systems at Autodesk Construction, driving fast, iterative shipping across Figma and Code.
Open Positions
Location
San Francisco (in-person)
Team Size
2-person founding team
Work Environment
In-person in our San Francisco office. High trust team, locking in at home is fine, but the industry and product move too fast for fully remote.
Benefits
Unlimited PTO, learning budget
Visa Sponsorship
At this time, we cannot sponsor work visas. Applicants must be authorized to work in the US.
Diversity & Inclusion
Brief is an equal opportunity employer committed to building a diverse team. We encourage applications from people of all backgrounds.
Job Description
Brief is a product management agent swarm that gives AI coding tools product judgment.
We're a 2-person founding team using Cursor/Claude to ship at 10x velocity. Here's what we're building:
AI coding assistants made you 10x faster at writing code. But they can't answer product questions:
- "Should we build this feature?" (they don't know your strategy)
- "Why did we reject real-time collaboration?" (they have no memory)
- "What do our users actually need?" (they can't read research calls)
- "Is this the right priority?" (they don't understand your velocity or constraints)
We're building the missing product intelligence layer.
Instead of just making developers faster, we're enabling a new way of work that blends product, design, and engineering. When you ask Claude a question in your IDE, Brief's agent swarm runs in the background:
- StrategyAgent extracts your vision and goals from roadmaps and docs
- ResearchAgent synthesizes user needs from customer calls
- VelocityAgent calculates what your team can actually ship
- DecisionAgent remembers what you tried before and why it failed
- WorkAgent knows what's in flight and what's blocked
Your AI coding assistant now has product judgment, not just coding ability.
The Technical Challenge
This isn't just CRUD. You're building:
- Agent orchestration - State machines that coordinate multiple LLM agents with different specializations, handling failures and synthesizing results
- Real-time context synthesis - Event-driven architecture processing webhooks from GitHub, Linear, Notion, Slack, extracting semantic meaning from unstructured data
- Conversational interfaces - Chat UIs with branching logic, extraction agents, and background orchestration that feel natural but are technically complex
- MCP protocol implementation - We shipped production MCP integration 2 weeks after Anthropic launched the spec. You'll be extending it as the protocol evolves
- Multi-source intelligence - Combining signals from code (GitHub), work (Linear), strategy (Notion), and conversations (Slack) into coherent product context
What We've Shipped
- Conversational onboarding with state machines and extraction agents
- VelocityAgent that calculates team throughput from GitHub commits
- Decision Intelligence that remembers rejected features and why
- Real-time Work Pipeline synthesis across all your tools
- Strategic Context Engine that extracts vision and goals from documents
- MCP integration so Cursor/Claude can access all of this
About The Role
You'll be engineer #3. You'll own entire agent systems end-to-end:
- Build new agents - Design and implement specialized agents (FeatureAgent, TechDebtAgent, etc.) with LLM-powered reasoning
- Agent infrastructure - Improve orchestration, add monitoring, optimize context windows, handle edge cases
- Integration layer - OAuth flows, webhook handlers, MCP servers, API design
- Full-stack ownership - React/Next.js frontend, PostgreSQL schemas, background jobs, streaming responses
- Product collaboration - Talk to users weekly, understand their workflows, make product decisions about what agents to build next
About You
Must Have:
- 4-8 years building web applications with end-to-end ownership
- Strong TypeScript fluency
- Experience with async/event-driven architecture
- AI-native mindset: Heavy Cursor/Claude/Copilot user who's felt the pain of AI tools lacking product context
- Experience integrating with third-party APIs (OAuth, webhooks)
Strongly Preferred:
- Built conversational UIs or chat interfaces with complex state
- Worked on developer tools or infrastructure products
- Experience with LLM APIs (Anthropic/OpenAI) and prompt engineering
- Next.js 15 and PostgreSQL expertise
- Understanding of product management workflows
Bonus:
- Contributed to open source developer tools
- Built MCP servers or Claude Desktop extensions
- Experience with Inngest or similar orchestration tools
- Shipped features that required product judgment, not just technical execution
Education: No degree required. We value product sense and technical execution over credentials.
Our Stack
Frontend: Next.js 15, TypeScript, Tailwind CSS, Radix UI
Backend: Next.js API routes, Inngest, PostgreSQL/Supabase
AI/ML: Anthropic Claude, OpenAI GPT-4, Vercel AI SDK, MCP
Integrations: GitHub, Linear, Slack, Notion, Fireflies, Fathom
Infrastructure: Vercel, Supabase, Clerk, Sentry
Why You Should Apply
- You're building the future of product development - AI agents that have product judgment, not just coding ability
- Technical depth + product impact - Complex agent orchestration that directly affects how teams build products
- Extreme ownership - You'll design, build, and ship entire agent systems. Your code goes to production daily.
- Direct user feedback - Talk to users weekly. See your agents make real product decisions in their workflows.
- Shape the category - We're defining what "product intelligence for AI coding" means. You'll help figure it out.
What Won't Work:
- ❌ Need lots of structure and defined requirements
- ❌ Want to "build it right" before shipping
- ❌ Uncomfortable with AI coding tools
- ❌ Pure frontend or pure backend focus
Compensation
Salary: $140k-180k (based on experience and location)
Equity: 0.5-1.5% (early team member grant)
Benefits: Unlimited PTO
Visa Sponsorship: At this time, we cannot sponsor work visas. Applicants must be authorized to work in the US.
Work Environment
In-person, in our San Francisco office. We're a high trust get-shit-done team, so locking in at home is fine, but the industry and product move too fast for fully remote.
How to Apply
Email hello@briefhq.ai with:
- Your GitHub profile
- Resume
- What product decision you wish your AI coding assistant could make (1-2 sentences)
We read every application and respond within a few days.
We are not accepting unsolicited resumes or submissions from external recruiters or agencies for this role.
Brief is an equal opportunity employer committed to building a diverse team. We encourage applications from people of all backgrounds, including women, people of color, LGBTQ+ individuals, people with disabilities, and veterans. We believe diverse perspectives make us better at serving our customers.
Job Description
AI coding assistants made you 10x faster at writing code. But they can't answer product questions:
- "Should we build this feature?" (they don't know your strategy)
- "Why did we reject real-time collaboration?" (they have no memory)
- "What do our users actually need?" (they can't read research calls)
- "Is this the right priority?" (they don't understand your velocity or constraints)
We're building the missing product intelligence layer.
When you ask Claude a question in your IDE, Brief's agent swarm runs in the background:
- StrategyAgent extracts your vision and goals from roadmaps and docs
- ResearchAgent synthesizes user needs from customer calls
- VelocityAgent calculates what your team can actually ship
- DecisionAgent remembers what you tried before and why it failed
- WorkAgent knows what's in flight and what's blocked
Your AI coding assistant now has product judgment, not just coding ability.
Why This Role Is Different
Most "new grad" roles have you fixing bugs for months. Here:
- Week 1: Ship your first feature to production
- Month 1: Own a full feature area end-to-end
- Month 6: Mentor the next engineer we hire
Your code will be used by hundreds of developers within weeks. You'll talk to users weekly. You'll make product decisions, not just implement tickets.
What You'll Build
- Agent systems - Build specialized agents (FeatureAgent, TechDebtAgent) with LLM-powered reasoning and state machines
- Conversational interfaces - Chat UIs with branching logic, extraction agents, and background orchestration
- Real-time synthesis - Event-driven architecture processing webhooks from GitHub, Linear, Notion, Slack
- MCP integration - Extend our Model Context Protocol implementation so AI tools can access product context
- Full-stack features - React/Next.js frontend, PostgreSQL schemas, background jobs, streaming responses
About You
Must Have:
- Strong fundamentals - TypeScript (or learn fast), understand async/await, can read docs and figure things out
- AI-native - Heavy Cursor/Claude/Copilot user who's felt the pain of AI tools lacking product context
- Scrappy & autonomous - Don't need hand-holding, comfortable with ambiguity, ship fast and improve later
- Product-minded - Care about UX, think about edge cases, want to talk to users
Bonus:
- Built side projects with Next.js, React, or TypeScript
- Contributed to open source
- Built CLI tools, VS Code extensions, or developer tools
- Experience with LLM APIs (even just playing around)
Our Stack
Frontend: Next.js 15, TypeScript, Tailwind CSS, Radix UI
Backend: Next.js API routes, Inngest, PostgreSQL/Supabase
AI/ML: Anthropic Claude, OpenAI GPT-4, Vercel AI SDK, MCP
Integrations: GitHub, Linear, Slack, Notion, Fireflies, Fathom
Infrastructure: Vercel, Supabase, Clerk, Sentry
Why You Should Apply
- You're building the future of product development - AI agents that have product judgment, not just coding ability
- Extreme ownership from day one - Ship features to production in Week 1, own entire systems by Month 1
- Learn from founders directly - Work with experienced engineers who ship fast and care about product
- Real user impact - Talk to users weekly, see your features get used immediately
- Shape everything - As an early engineer, you'll influence product, culture, and engineering practices
- Technical growth - Learn agent orchestration, LLM integration, event-driven architecture, full-stack development
What Won't Work:
- ❌ Need lots of structure and step-by-step instructions
- ❌ Want to work only frontend or only backend
- ❌ Uncomfortable with AI coding tools
- ❌ Need 6 months before shipping to production
Compensation
Salary: $100k-130k (adjusted for experience and location)
Equity: 0.25-0.75% (early team member grant)
Benefits: Unlimited PTO, learning budget
Growth: Clear path to mid-level → senior as company scales
Visa Sponsorship: At this time, we cannot sponsor work visas. Applicants must be authorized to work in the US.
Work Environment
In-person, in our San Francisco office. We're a high trust get-shit-done team, so locking in at home is fine, but the industry and product move too fast for fully remote.
How to Apply
Email hello@briefhq.ai with:
- Your GitHub (or portfolio)
- One project you're proud of: What did you build? What did you learn? What would you do differently?
- Resume
- What product decision you wish your AI coding assistant could make (1-2 sentences)
We read every application and respond within a few days.
We are not accepting unsolicited resumes or submissions from external recruiters or agencies for this role.
Brief is an equal opportunity employer committed to building a diverse team. We encourage applications from people of all backgrounds, including women, people of color, LGBTQ+ individuals, people with disabilities, and veterans. We believe diverse perspectives make us better at serving our customers.