Startups · AI

AI Acceleration Engineer

Decagon · San Francisco · On-site

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About Decagon

Backed by Accel, Index and a16z.

About the role

Decagon is growing fast, and we're looking for an AI Acceleration Engineer to build the systems the company runs on and make AI a practical part of how every team works.

What they're looking for

  • You've led AI acceleration / transformation initiatives — you know the common failure modes and how to avoid them
  • You have a product mindset: you don't just build automations, you build things people actually adopt and love using
  • You have hands-on GCP experience — Cloud Run, BigQuery, Cloud Functions, Pub/Sub — and have built custom MCP servers, not just used them
  • You've worked on billing or revenue systems, or been through an ERP implementation
  • Compensation
  • $180K - $220K + Equity
More about this role

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.

This role rolls up into the AI Acceleration team, within the broader Finance Org today - though our mandate reaches far beyond it. We're pushing to leverage AI across the entire organization, creating multiples of efficiency...

Read the full posting on Decagon's site ↗

Finance

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