AI Acceleration Engineer

Decagon
San Francisco, New York
Workplace: OnsiteFull timeUSD 180,000 - 220,000 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Hands-on building","Project ownership","Ability to operate under ambiguity","Generalist problem-solving","Communication of impact"]

Build and maintain the internal systems that let AI become a practical part of how every team works. Own projects end to end—from requirements and solution design through development, testing, deployment, and ongoing maintenance—extending the contract/customer platform, automating billing and collections, and replacing spreadsheet workflows. Create web apps and integrations, develop MCP server and agent-facing tooling, and measure impact across finance and revenue workflows.

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FursaFursa
Decagon
Decagon
3 days ago

AI Acceleration Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and maintain the internal systems that let AI become a practical part of how every team works. Own projects end to end—from requirements and solution design through development, testing, deployment, and ongoing maintenance—extending the contract/customer platform, automating billing and collections, and replacing spreadsheet workflows. Create web apps and integrations, develop MCP server and agent-facing tooling, and measure impact across finance and revenue workflows.
Location: San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own projects end to end, from requirements gathering and solution design through development, testing, deployment, and ongoing maintenance.
  • •Build and maintain web applications and integrations used by internal teams, extending existing contract/revenue systems and creating new tools as needed.
  • •Partner with Finance, Accounting, Legal, People, and Recruiting to identify automation opportunities and decide between custom builds, AI vendors, or hybrid solutions.
  • •Lead major workstreams including billing, revenue recognition, usage data ingestion, and reconciliation across internal data, the ERP, and Salesforce.
  • •Build AI interfaces such as MCP servers and agent-facing tooling so power users can handle simpler automations themselves, and report impact to leadership (time saved, cost reduced, errors eliminated).

Pay and Benefits

Salary: USD 180,000 - 220,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPensionParental LeaveWellness Stipend

Key Requirements

  • •6+ years building internal tools, systems, and automations business teams rely on, especially internal tooling or revenue/finance operations.
  • •Owned projects across the full lifecycle from requirements gathering through deployment and ongoing maintenance.
  • •Production-quality coding for internal tools, while focusing on business problem-solving rather than product engineering.
  • •Strong generalist ability to go deep across domains (e.g., billing one quarter, recruiting workflows next).
  • •Hands-on experience with AI-native coding tools (e.g., Claude Code, Codex, Cursor) and shipping production solutions; coding experience preferred (Python, TypeScript, or JavaScript) with APIs and deployment.
Experience:6+ yearsAI accelerationFinance operationsRevenue operationsBillingCollectionsERPInternal toolingAgentic/AI
Skills:Hands-on buildingProject ownershipAbility to operate under ambiguityGeneralist problem-solvingCommunication of impact
Tech Stack:Claude CodeCodexCursorPythonTypeScriptJavaScriptAPIsMCP serversSkillsAgentsWeb applicationsGCPCloud RunBigQueryCloud FunctionsPub/SubERPSalesforceRevenue recognitionUsage data ingestion

Company Brief

Decagon
Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
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