Founding Engineer - Autonomous Software Delivery Agents

The Opportunity

You'll be a founding engineer building the infrastructure for autonomous software delivery agents. This isn't "AI-enhanced tooling" - it's category-defining agent orchestration that will become essential infrastructure for every software company.

What you'll build:

● AI Agent Orchestration: Coordinate multiple specialized agents (product planning, architecture, security) to automate company-level software delivery

● Product Intelligence Engine: Transform JIRA workflows, Git patterns, and business context into autonomous decision-making

● Multi-Agent Communication: Enable Liz to collaborate with external agents like Devin, Replit, and future AI tools

● Enterprise-Scale Automation: Handle 100+ concurrent projects with intelligent resource allocation and stakeholder communication

Market Reality: CTOs control $5.74 trillion in software delivery budgets. We're building the AI agent infrastructure to automate their most complex operational challenges.

What We're Looking For

Must-Haves

● Senior Python expertise with production-scale backend systems

● AI engineering experience - LLM orchestration, agent frameworks, or autonomous systems

● Product-focused mindset - you care about what you're building and its impact on users

● Ownership mentality - bias for action, comfortable with ambiguity, driven to solve hard problems

Bonus Points

● Enterprise integration expertise (JIRA APIs, Git platforms, workflow automation)

● Startup experience at category-creating companies (especially developer tools or AI infrastructure)

● Frontend experience

Why This Role Matters

You're not joining a team - you're assembling one. As a founding engineer, you'll:

● Define the category: Your technical decisions shape how "Software Product Agents" work industry-wide

● Architect platform infrastructure: Build the foundation that scales to enterprise customers with $100M+ development budgets

● Own core systems: Lead autonomous agent development from concept to production deployment

● Work directly with the CEO: Collaborate with Matt on technical vision, customer feedback integration, and strategic platform evolution

Our Engineering Culture

● Continuous delivery and quick iterations. We experiment, keep what works, eliminate what doesn't. No processes for the sake of processes.

● Flat, collaborative teams where engineers drive product decisions. You'll be deeply involved in strategy, not just implementing features.

● Radical candor and ownership. We tell each other the truth, take responsibility for outcomes, and focus on building something remarkable.

● Remote-first with global collaboration. Work from anywhere, but coordinate effectively across time zones and communication styles.

● Architecture Philosophy: AI-native design for autonomous action, not retrofitted intelligence on legacy monitoring tools.

Compensation & Growth

● Competitive base salary + significant equity

● Equity upside: Ground floor of category creation with billion-dollar market potential. Early team members have a disproportionate impact on company trajectory and ownership.

● Career positioning: Founding engineer experience building the infrastructure that defines autonomous software delivery.

Interview Process

The entire interview process should take <1 week and will take place online.

● Call with our CEO (30 minutes) – to talk about the company's mission and vision

● Technical screening (20 minutes) – a session focused on practical engineering scenarios about code quality

● Live coding exercise (1 hour) – a practical problem-solving session to see how you reason about and structure code in real time. No leetcode, no brain teasers: just a real life coding exercise

● Cultural fit conversation (1 hr) – a discussion with a team lead about collaboration, communication, and alignment with how we work

Details:

● Years of experience: 3+

● Salary: very competitive

● Equity: very competitive

● Visa sponsorship: Can do H1B transfers + sponsor TNs but not new H1Bs

● Full-time position

● Location: remote, but preference for Bay Area

● Tech stack: Python, LLM orchestration tools like Langchain and LlamaIndex