About Fuel Cycle:

Fuel Cycle empowers leading organizations with agile research solutions that deliver decision-ready insights — fast, flexible, and fully integrated. As a market research disruptor, our AI-powered Insights Platform is built for speed, precision, and scale. With cutting-edge tools and seamless audience connectivity, we help brands ditch the guesswork and make smarter, customer-led decisions at lightning speed.

Why work at Fuel Cycle?

Join a high-growth team where curiosity is valued, ownership is encouraged, and your work drives real-world impact. Whether you’re based at our Los Angeles HQ, New York City hub, working remotely across the U.S., or part of our global team in India, you’ll help shape the future of decision intelligence for some of the world’s most iconic brands.

The Role

Fuel Cycle’s goal is to make every function in the company AI-native, starting with IT, Services, Sales, and Marketing. As our AI Operations Associate, you’ll lead that effort for IT first, then expand to the rest of the company.

You’ll work with our Chief Product and AI Officer to set the roadmap, then build and ship it. This isn’t an IT Operations role with AI added on. Your job is to replace manual, hand-off-heavy workflows with AI-driven ones and show the business impact of each.

If an agent can do the work, you build and deploy it.

If it can’t yet, you fix the underlying data and rework the process until it can.

What You’ll Do

IT (your starting focus)

Service Desk and app automation: Build AI agents that resolve IT tickets on their own, including software provisioning, account access, hardware procurement, and troubleshooting.

Security and network automation: Build AI pipelines for threat detection, anomaly isolation, patching, firewall changes, and new-user network setup.

Performance tuning: Monitor and tune your agents against internal SLAs to cut resolution time, reduce downtime, and remove manual routing.

IT dashboards: Build BI dashboards showing infrastructure health, agent performance, software usage, and security, so leadership has one trusted source of truth.

Customer Zero for Product: Work with Product and Engineering, feeding what you learn from running agents internally back into Fuel Cycle’s AI platform.

Company-wide (as your scope grows)

Find and prioritize automation opportunities in HR, Legal, Customer Success, and other teams.

Create and own our internal AI playbook for evaluating, deploying, and measuring AI replacements for manual work.

Help department leaders understand what can be automated now, what can’t yet, and what’s next.

Partner with Product and Engineering on the platform and MCP infrastructure behind our internal agents.

Data and measurement

Keep data clean and definitions agreed across the teams you support, so there are fewer disputes over numbers.

Build evaluation loops into every workflow so quality, accuracy, and reliability are tracked continuously.

Report to leadership on manual hours saved, workflow coverage, and time-to-answer improvements.

How Success Is Measured

AI-native coverage: share of routine workflows run or materially assisted by AI agents

Manual hours displaced: dollar value of time returned to IT and other teams each quarter

Speed to answer: time from a leader’s question to a trustworthy answer

Data trust: fewer escalations and disputes over operational numbers

Function coverage: number of internal teams with at least one AI-native workflow live and measured

Who You’ll Work With

Chief Product and AI Officer, Head of Product, Head of Engineering, DevOps, CMO and Marketing, CFO and Finance, HR, Legal, and other leaders as scope grows. You’ll also work alongside our other AI Operations Associate, who focuses on customer-facing teams.

What We’re Looking For

Required

A track record of building and shipping AI solutions in a business setting

Hands-on experience with agentic development: Claude Code, MCP, prompt engineering, and evaluation loops

Python for automation and data analysis, and SQL for querying and reporting

Familiarity with enterprise systems (CRM, marketing automation, ERP, BI), enough to build against them and learn more