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Fuel Cycle

SaaS market research platform for insights

AI Operations Associate

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A track record of building and shipping AI solutions in a business setting.
  • Hands-on experience with agentic development, including Claude Code, MCP, prompt engineering, and evaluation loops.
  • Python skills for automation and data analysis, and SQL skills for querying and reporting.
  • Familiarity with enterprise systems such as CRM, marketing automation, ERP, and BI, sufficient to build against them and learn more.
  • Ability to prioritize across a broad scope and work with ambiguity.

Responsibilities

  • Build and deploy AI agents to resolve IT tickets, including software provisioning, account access, hardware procurement, and troubleshooting.
  • Build AI pipelines for threat detection, anomaly isolation, patching, firewall changes, and new-user network setup.
  • Monitor and tune agents against internal SLAs to reduce resolution time and downtime and eliminate manual routing.
  • Build BI dashboards for infrastructure health, agent performance, software usage, and security.
  • Work with Product and Engineering to feed internal agent experience back into Fuel Cycle’s AI platform.
  • Identify and prioritize automation opportunities in HR, Legal, Customer Success, and other teams.
  • Create and own the internal AI playbook for evaluating, deploying, and measuring AI replacements for manual work.
  • Help department leaders assess what can be automated now, what cannot yet, and what comes next.
  • Partner with Product and Engineering on the platform and MCP infrastructure behind internal agents.
  • Maintain clean data and aligned definitions across supported teams to reduce disputes over numbers.
  • Build evaluation loops into workflows to continuously track quality, accuracy, and reliability.
  • Report manual hours saved, workflow coverage, and time-to-answer improvements to leadership.

Desired Qualifications

  • A systems-thinking approach to understanding how Salesforce, marketing automation, and finance systems connect.
  • Fluency in AI-native workflow concepts, including agents, MCP, and human-in-the-loop design.
  • Ability to communicate clearly with technical and business audiences.
  • A builder mindset focused on prototyping replacements rather than documenting existing processes.

About the Company

Fuel Cycle

SaaS market research platform for insights

Fuel Cycle provides a SaaS market research platform called the Research Engine that helps companies connect with customers, collect insights, and accelerate decision-making. It combines qualitative methods (discussions, interviews, diary studies, live chats) and quantitative surveys in a DIY online community with built-in analytics and automated visuals. It also integrates data from CRMs and marketing tools to give a holistic view of the customer, and has pursued acquisitions like Getcurious to boost UX and AI capabilities. Its goal is to speed product innovation, strengthen brands, and support customer-led growth by turning insights into action.

Company size
51-200
Company stage
Debt Financing
Total funding
$25.6M
Headquarters
Santa Monica, CA
Founded
2005

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