Senior Founding Engineer
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Responsibilities
- Develop the core platform to ingest data and synthesize "digital twins", as well as the agentic systems to act on it (eg. Voice, SMS, and Email agents).
- You'll work directly with the CTO on all parts of the platform, ranging across:
- Memory (how do we represent and refine our customer models?)
- Detection framework (what are the right primitives for building detection agents?)
- Agent design (how do we turn signals into reliable autonomous actions?)
- Distributed systems (how do we run 5000 agents in parallel?)
- Evals (how can we guarantee our agents are always getting better?)
- You'll also interface directly with our customers and own engagements end-to-end.
Requirements
- You have 3+ years of experience in full-stack development with distributed architectures
- You've built ai systems / pipelines and understand the reliability and observability considerations surrounding them
- You've worked on systems that process and transform massive amounts of data
- You're capable of making practical tradeoffs to ship things fast that work, while making architectural decisions that allow us to come back later and scale the system
- You're good at explaining complex ideas to non-technical people
- You love moonshot ideas that feel like magic (eg. realtime UX)
- You think big and get excited by problems that feel impossible to solve
- You're looking to do the best work of your life and build something you'll be proud of for decades
- Tech stack
- Typescript, Nuxt, Postgres, Vercel, Claude Code/Cursor
Benefits
Additional Information
What we do Ambral builds digital models of people and teams that predict what they'll do next. Enterprises use these "digital twins" to synthesize signals across product telemetry, support interactions, emails, calls, and operational systems into a coherent understanding of each customer. Our agents then enrich missing context, recommend next-best actions, and execute workflows to help teams deliver the optimal experience for every customer. We graduated from Y Combinator Summer 2025, raised millions in funding, and are already deploying Ambral within multi-billion dollar enterprises. Now we're growing our team to go supersonic.
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Company Intel
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