AI Acceleration Engineer

Decagon•San Francisco, CA

6d•$180,000 - $220,000•Onsite

About The Position

Decagon is 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. This role involves extending the platform for contracts and customers, automating billing and collections, replacing spreadsheet-based processes with reliable systems, and enabling other teams to automate their own work using AI. It is a hands-on technical role focused on solving business problems and adopting new technologies quickly. The engineer will own projects end-to-end, build and maintain web applications and integrations, work with stakeholders across various departments to identify automation opportunities, and build AI interfaces for internal systems.

Requirements

6+ years of hands-on experience building the internal tools, systems, and automations that business teams rely on — internal tooling, business systems, and/or revenue and finance operations.
Owned projects across the full lifecycle, from requirements gathering through deployment and ongoing maintenance.
Technical enough to build production-quality internal tools, but focused on solving business problems rather than product engineering.
Strong generalist with the ability to work deeply on different areas like billing or recruiting workflows.
Sound instincts for system design, data flow, potential failure points, and maintainability.
Ability to discern when a workflow calls for an agentic/AI approach versus a deterministic pipeline.
Hands-on experience with AI-native coding tools such as Claude Code, Codex, Cursor and used them to ship production solutions.
Coding experience preferred: Python, TypeScript, or JavaScript; working with APIs; and deploying what you build.
Ability to build trust quickly with Finance, Accounting, Legal, and People, and independently drive complex projects under ambiguity without needing formal authority.

Nice To Haves

Led AI acceleration / transformation initiatives, understanding common failure modes and how to avoid them.
Product mindset: build automations that people actually adopt and love using.
Hands-on GCP experience — Cloud Run, BigQuery, Cloud Functions, Pub/Sub — and have built custom MCP servers.
Experience with billing or revenue systems, or been through an ERP implementation.

Responsibilities

Own projects end to end, from requirements gathering and solution design through development, testing, deployment, and ongoing maintenance.
Build and maintain the web applications and integrations internal teams run on, from existing systems such as our internal contract and revenue platform to new tools you design and stand up from scratch.
Work with stakeholders across Finance, Accounting, Legal, People, and Recruiting to surface new use cases and areas to automate, and determine whether each calls for a custom build, an AI vendor, or a hybrid approach.
Take on major workstreams as they come up: billing, revenue recognition, usage data ingestion, and reconciliation across our internal data, the ERP, and Salesforce.
Build the interfaces that let others work with our systems through AI, including MCP servers, skills, and agent-facing tooling, and enable power users across the business to handle the simpler automations themselves.
Measure and communicate impact back to leadership: time saved, cost reduced, errors eliminated.