Job Opportunities API

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. Overview: We are building the next generation of our platform — an AI-native data foundation that will power intelligent agents, living user profiles, digital twins, and conversational research analytics. This is a greenfield, foundational build that will define the future of the company. We are building a new data engineering team reporting directly to the VP of Engineering. You will be a founding member of this team, responsible for designing and building the Databricks-first data lake and pipeline infrastructure that every future AI product will depend on. This is not a maintenance role. We need engineers who are productive from day one — experienced enough to make architectural decisions independently and drive the build without step-by-step direction. Key Responsibilities: Data Lake & Warehouse Architecture - A multi-tenant data lake and warehouse that unifies all research data — surveys, qualitative feedback, CRM, media transcripts, and more — in a structured, AI-consumable format - Tenant-isolated data architecture where enterprise client data is structurally separated at the storage and query layer - Provenance-aware data models where every data point carries full traceability back to its source Data Ingestion & Pipelines - Batch ingestion pipelines that migrate and continuously sync data from existing relational databases and cloud storage into the new lake architecture - A nightly profile enrichment pipeline that rebuilds living user profiles from all data sources within each client account Data Access & AI Enablement - Data access layers serving AI agents via MCP, qualitative search via RAG pipelines, statistical computation tools, REST APIs, and bulk export Your Success Metrics: - Quickly integrates with the engineering team and contributes meaningfully to the data platform build - Takes ownership of assigned pipeline and infrastructure work end-to-end, from design through production - Brings architectural recommendations and solutions proactively, rather than waiting for direction - Demonstrates strong collaboration and communication across engineering and product teams Who you’ll work with? - VP of Engineering — your direct manager and the data engineering team’s founding sponsor - Peer Senior Data Engineers on the founding data engineering team - AI product and platform engineers consuming the data foundation you build - Product and engineering stakeholders across the Fuel Cycle platform Core Skills, Competencies & Attributes: - Proactive Ownership: You bring recommendations and solutions to your manager — you don’t wait to be told what to do. - Architectural Judgment: You have the judgment to make the right foundational decisions and defend them. - Greenfield Builder: You thrive on greenfield builds and take full ownership from design through to production. - Comfort with Ambiguity: You are comfortable with ambiguity and can translate high-level vision into a concrete engineering plan. - Outsized Impact: You understand that on a small team your decisions have outsized and lasting impact. What you’ll bring: - You have 5+ years of