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Описание вакансии
Текст:
TL;DR
AI Acceleration Engineer (AI, internal systems, and automation): Building production internal tools, business-system integrations, and AI interfaces that automate billing, collections, revenue operations, and workflows across Finance, Accounting, Legal, People, and Recruiting with an accent on full-lifecycle ownership and practical AI adoption. Focus on designing MCP servers, skills, and agents, integrating internal data with ERP and Salesforce, and measuring time saved, costs reduced, and errors eliminated.
Location: In-office in San Francisco or New York City, United States
Salary: $180,000–$220,000 per year plus equity
Company
Decagon provides a conversational AI platform that enables enterprises to deliver AI-powered customer experiences across voice, chat, email, SMS, and other channels.
What you will do
- Own internal automation projects end to end, from requirements gathering and solution design through development, testing, deployment, and maintenance.
- Build and maintain internal web applications, business-system integrations, and tools for Finance and other business functions.
- Automate billing, revenue recognition, usage-data ingestion, collections, close activities, and reconciliation across internal systems, the ERP, and Salesforce.
- Partner with Finance, Accounting, Legal, People, and Recruiting to identify automation opportunities and choose custom, vendor-based, or hybrid solutions.
- Build MCP servers, skills, agents, and other AI-facing tooling that enable teams and power users to automate their work.
- Measure and communicate business impact, including time saved, cost reduced, and errors eliminated.
Requirements
- 6+ years of hands-on experience building internal tools, business systems, or revenue and finance operations automations.
- Experience owning projects across the full lifecycle, from requirements through deployment and ongoing maintenance.
- Ability to build production-quality internal tools and solve business problems rather than focus on product engineering.
- Strong generalist capabilities, sound systems-design judgment, and the ability to work independently through ambiguity.
- Hands-on experience with AI-native coding tools such as Claude Code, Codex, or Cursor, and experience shipping production solutions.
- Coding experience in Python, TypeScript, or JavaScript, plus API integration and deployment experience.
Nice to have
- Experience leading AI acceleration or transformation initiatives.
- Product mindset focused on adoption and usability.
- Hands-on GCP experience with Cloud Run, BigQuery, Cloud Functions, or Pub/Sub.
- Experience building custom MCP servers, billing or revenue systems, or completing an ERP implementation.
Culture & Benefits
- In-office environment focused on excellence and fast execution.
- Medical, dental, and vision coverage for employees and families.
- Life insurance, disability benefits, retirement plan, and parental leave.
- Fertility and family-building benefits, plus a monthly wellness and lifestyle stipend.
- Daily office lunches and snacks.
- Take-what-you-need vacation policy, subject to local requirements.
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