ashby
Founding Full Stack Engineer
Clera
San Francisco, USA
Full-time
Senior
Onsite
USD 180000-230000 yearly / year
Discovered 2 days ago
PythonReactDockerKubernetesAWSGCP
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Role Overview
A well-funded, early-stage B2B SaaS startup in the AI-powered sales automation space is hiring its first Founding Engineer. You'll join the CTO as a core member of a tiny, high-caliber team and help set the technical culture for everyone who comes after. The company builds self-improving conversational agents that run product demos 24/7 — adapting to each buyer, handling technical questions, and getting smarter with every conversation. Growth has tripled month-over-month and demand is accelerating.
Key Skills for This Role
PythonReactDockerKubernetesAWSGCP
Full Job Posting
About the Role
A well-funded, early-stage B2B SaaS startup in the AI-powered sales automation space is hiring its first Founding Engineer. You'll join the CTO as a core member of a tiny, high-caliber team and help set the technical culture for everyone who comes after. The company builds self-improving conversational agents that run product demos 24/7 — adapting to each buyer, handling technical questions, and getting smarter with every conversation. Growth has tripled month-over-month and demand is accelerating.
What You'll Work On
There are no strict lanes here. You'll own problems across the full stack, from LLM orchestration to embeddable frontend widgets to eval pipelines. Key technical pillars include:
The Agent: LLM orchestration, conversation flow, tool use, and voice. Agents must understand unfamiliar products and explain them clearly to prospects with varying levels of context.
The Experience: Embeddable, generative UI that adapts in real-time — fast-loading, interactive, and responsive across products and screen sizes.
The Platform: Customer-facing tooling for configuring agents, managing flows, reviewing conversations, and measuring performance.
Evals & Self-Improvement: Pipelines that measure agent quality and feed learnings back automatically, so demos get smarter without manual intervention.
Infrastructure: Zero cold starts, instant agent response, and versioning systems that let customers preview changes before they go live.
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