Founding Engineer, AI Platform
Ember AI · San Francisco Bay Area · 2 days ago
HybridEngineeringFull-time
About Ember AI
Ember AI is building Enterprise Intelligence: an AI-native workspace that turns a company's meetings, email, documents, Slack, and operational systems into durable memory, proactive agents, and customer-specific workflows. We are looking for an entrepreneurial, product-minded full-stack engineer to join our founding team and help turn early customer pull into a durable platform. This is a true 0-to-1 role. You will work across product, infrastructure, agents, evals, connectors, and customer workflows, often moving from an ambiguous customer problem to a shipped product experience.
What You'll Do
- Own meaningful product areas end to end, from customer discovery and technical design through implementation, launch, and iteration.
- Build core Enterprise Intelligence surfaces, including the agent builder, brain pages, connectors, source transparency, calendar and meeting workflows, and the internal tools we use every day.
- Design reusable platform primitives for agents, including triggers, tools, approvals, evals, memory, observability, and workflow execution.
- Turn messy, customer-specific workflows into reliable and extensible product experiences.
- Build for production from the start, including tenant isolation, reliability, monitoring, permissions, data security, and secure connector access.
- Work directly with customers through discovery calls, workflow reviews, debugging sessions, implementation, and launch support.
- Use AI coding tools aggressively and thoughtfully while maintaining strong engineering judgment and building systems others can understand, operate, and extend.
- Help shape the product roadmap, technical architecture, engineering practices, and culture of an early-stage company.
You Might be a Fit if
- You are an entrepreneurial builder who has experienced a 0-to-1 journey, ideally as a founder, founding engineer, or early employee at a startup.
- You have built something meaningful from a blank page and can point to decisions, tradeoffs, and outcomes that were truly yours.
- You have strong full-stack judgment and move comfortably between product UI, backend APIs, data models, infrastructure, and customer needs.
- You enjoy ambiguous product and platform problems where the right solution or abstraction is not obvious on day one.
- You care deeply about solving customer pain, not just producing technically elegant systems.
- You have shipped AI-powered product features in production, or have unusually strong evidence that you can learn and build in this space quickly.
- You balance speed with durability. You know when to prototype, when to generalize, and when to revisit an early decision.
- You have high agency, low ego, strong product instincts, and a bias toward action.
- You communicate clearly with both technical and nontechnical teammates and are comfortable working directly with customers.
- You use AI tools to accelerate your work without outsourcing your judgment to them.
- You are excited by agents, RAG, tool calling, evals, and the edge cases that emerge when these systems interact with real businesses.
Nice to Have
- Experience with Python, TypeScript, React, Postgres, Celery or other background job systems, AWS, or comparable technologies.
- Experience building integrations with Gmail, Slack, Google Calendar, CRMs, document systems, or other enterprise APIs.
- Experience with LLM evals, observability, retrieval, agent orchestration, prompt reliability, or tool-use reliability.
- Experience designing secure, multi-tenant enterprise software with thoughtful permissions and data access controls.
- Strong product taste and the ability to make early or internal tools feel coherent, intuitive, and trustworthy.