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AI Operations Associate

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Fuel Cycle
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Systems & Technology Analysis, CRM Systems & Management, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 85000 - 105000 USD Yearly USD 85000.00 105000.00 YEAR
Job Description & How to Apply Below
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:

The AI Operations Associate is Fuel Cycle's internal AI transformation role — accountable for making every company function AI-native, starting with Sales and Marketing. This role begins by owning the GTM operations stack (Salesforce, marketing automation, pipeline data) and the AI workflows that sit on top of it, then expands scope to Finance and the broader internal operations surface as coverage deepens.

This is not a Revenue Operations seat with AI bolted on, and it is not an IT or process-documentation role. It is the person accountable for replacing manual, human-routed workflows with instrumented AI pipelines — across every internal function — and for measuring the result. When a workflow can be replaced by an agent, you build the replacement. When it can't yet, you fix the data and the process until it can.

The initial focus is GTM (Sales and Marketing), with Finance as a close collaborative partner from day one. Over time, scope extends to HR, Legal, Customer Success, and other internal functions as the playbook matures.

Key Responsibilities:

GTM Operations (Initial Focus)
  • Own the operational tooling — Salesforce, marketing automation platforms, and connected data sources — including configuration, data hygiene, and integrations.

  • Design and ship AI-native workflows across the revenue lifecycle: lead scoring, opportunity enrichment, forecast rollups, marketing attribution, and pipeline health monitoring.

  • Build and maintain BI dashboards that give Sales and Marketing leaders real-time visibility into pipeline health, forecast accuracy, campaign performance, and funnel conversion.

  • Deploy AI agents into the daily workflows of Sales and Marketing leaders so they can query, act, and decide without waiting on manual pulls or analyst turnaround.

Finance Collaboration
  • Partner with Finance from day one on the data and systems that underpin the close cycle, forecasting, and budget rollups — ensuring a shared, trusted source of truth.

  • Support Finance in identifying and automating repetitive workflows: month-end close preparation, variance analysis inputs, quote-to-cash process steps, and forecast consolidation.

  • Serve as the systems and data authority for the annual planning cycle — territory design, quota setting, budget rollups, and forecast cadences — in close coordination with Finance leadership.

  • Build the connective tissue between GTM systems and Finance systems so revenue data flows cleanly, without manual reconciliation.

Broader Internal Operations (Expanding Scope)
  • Identify and prioritize AI automation opportunities across all internal functions — HR, Legal, Customer Success, IT, and others — as GTM coverage matures.

  • Establish and own the internal AI operations playbook: how Fuel Cycle evaluates, deploys, and measures AI-native replacements for manual workflows company-wide.

  • Champion AI fluency across internal teams — helping department leaders understand what is automatable, what isn't yet, and what…

Position Requirements
10+ Years work experience
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