Most engineers build products. You’ll build companies. Welcome to Rocketable, where we’re creating fully autonomous software companies that operate at superhuman levels.
The Mission
You’ll be architecting the nervous system of an entirely new kind of organism—a multi-agent AI platform that can run an entire portfolio of SaaS businesses without human intervention.
The end goal : software companies that operate at performance levels humans simply cannot achieve, enabled by intelligence that is distributed, scalable, and self-improving.
The Trajectory
- Week 1 : You walk into your laboratory—a live SaaS business ready for radical transformation. It’s the perfect testing ground : real customers, real revenue, real complexity. Customer support takes hours. Bugs sit in backlogs. Features ship when someone remembers to deploy them. This is your canvas for proving what AI can really do.
- Week 4 : You’ve deployed your first agent swarm. Customer support tickets are being triaged by AI. The meta-agent layer is analyzing where humans still need to intervene, learning from those patterns. The orchestrator is discovering which agents work best together. The system is beginning to understand its own limitations.
- Week 12 : The platform is running autonomously for hours at a time. Agents are spawning other agents to handle specialized tasks. The system has identified performance gaps from its data and built new tools to close them. Performance metrics are on a clear trajectory to exceed human baselines. You’re the conductor of an orchestra of AI systems working in concert.
The Mindset :
You’re a self-directed learner who gets excited, not overwhelmed, by the pace of AI advancementYou’re comfortable throwing away three weeks of work because a better approach just became possibleYou thrive in high ambiguity—there’s no Stack Overflow answer for what we’re buildingYou see “no playbook exists” as an opportunityYou believe full automation for software companies is inevitableWhat You’ll Build
While solving for specific needs of a production SaaS, you’ll build some version of the following :
Orchestrator-worker patterns : dozens of specialized agents, parallel coordination, distributed queuingCross-stack abstractions : works across any portfolio company’s tech stack and schemasMeta-agents learn from overrides : analyze why humans intervene, accelerate improvementReplay thousands of scenarios : test new models against history, catch regressionsAgents create own tools : programmatically generate solutions when stuckTime-travel debugging : structured logs, audit every decision, full observabilityHuman approval gates : security boundaries for code execution, data mods, critical opsHybrid data fusion : databases, APIs, event streams → traditional vector storesTechnical Requirements
Core Engineering Skills (5 years required)
You’ve built and scaled production systems handling 100K daily active usersDeep experience with distributed systems : microservices, event-driven architectures, message queuesFull-stack development : you can debug everything from React components to database queries and underlying infrastructureFluent in multiple programming languages (TypeScript and Python preferred)Track record designing APIs that other developers actually want to useAI / ML Systems Experience
Experience integrating LLMs via foundation model APIs (OpenAI, Anthropic, Google)You understand prompt engineering as an engineering discipline, not just trial and errorYou’ve built eval systems to measure AI performanceExperience with token optimization, context window management, and fallback strategiesBonus : You’ve worked on self-improving systems, reinforcement learning, or RLHF / RLAIFInfrastructure & DevOps
Kubernetes expertise for container orchestrationDocker mastery : you understand security, resource limits, and ephemerality of containersInfrastructure as Code : Terraform or similar—your infrastructure is version-controlled and reproducibleCloud platform expertise (GCP preferred, AWS / Azure also OK)You’ve built CI / CD pipelines that actually accelerate development instead of slowing it downProduction monitoring and observability, including debugging distributed systemsSecurity fundamentals : sandboxing untrusted code, secrets management, preventing prompt injectionWhy Rocketable
The Opportunity :
First engineering hire working directly with the founder (Alan Wells, ex-Cruise / Uber ATG)Define the technical architecture for a new category of companyYour code won’t just run products—it will run entire businessesThe Backing :
$6.5M seed round from Y Combinator, True Ventures, Bloomberg Beta, Indie.vc, and others.Capital to acquire 3 companiesThe Team :
Intentionally smallNo layers, no politics, no meetings about meetingsWorking together in-person, 5 days / week (San Francisco as the default location, but we are also interested in hearing from candidates who would prefer a Marin County office location)The Impact :
You’re building infrastructure that will run entire software companies.Every system you create multiplies across our entire portfolioYour work will define whether AI remains a copilot or becomes the pilotMore about Rocketable
The Rocketable Origin Story (video interview)The Rocketable ManifestoWTF is an AI maximalist software holding company?#J-18808-Ljbffr