Founding AI Product Engineer End-to-End Assistant

Digitailor

San Francisco (CA)

On-site

USD 200,000 - 300,000

Full time

4 days ago
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Job summary

Digitailor is building an early-stage consumer AI startup. We seek a founding product engineer to own the AI agent and the end-to-end user experience, from onboarding to trusted connections.

You will ship features from concept through experiment, coordinating with product, engineering, and design to deliver measurable outcomes. Based in San Francisco, this on-site, full-time role offers significant ownership of the product and the chance to shape how users interact with AI assistants across

Qualifications

  • 4+ years of software engineering experience, including AI products or consumer AI systems.
  • Experience building agents with tool use, memory, and evaluation for release decisions.
  • Strong full‑stack skills with modern JS frameworks and databases.

Responsibilities

  • Build the agent's decision-making system with tool calls, memory, and routing.
  • Create evaluation tools and regression suites to ensure quality before releases.
  • Own the mobile and web product experience, including onboarding, follow-ups, and trusted connections.
  • Ship features from concept through experiment and release using data and feedback to guide decisions.
  • Integrate email, calendars, payments, and browser automation with robust recovery flows.

Skills

Full-stack development
TypeScript
React
Next.js
PostgreSQL
AI systems
Memory/Conversation AI

Tools

OAuth
Payments APIs
Browser automation
MCP servers
Function calling

Job description

Digitailor is building an early-stage consumer AI startup. We seek a founding product engineer to own the AI agent and the end-to-end user experience, from onboarding to trusted connections.

You will ship features from concept through experiment, coordinating with product, engineering, and design to deliver measurable outcomes. Based in San Francisco, this on-site, full-time role offers significant ownership of the product and the chance to shape how users interact with AI assistants across

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