Rabbit - Customer Engineer, BigQuery

Rabbit helps enterprises cut their GCP spend — and the difference between a customer who saves millions and one who churns is the engineer standing next to them during adoption. We’re hiring a Customer Engineer to be that person for our customers across the US and the broader Americas.

This is a hands-on, customer-facing engineering role. Your focus is making customers successful: gluing Rabbit into each customer’s GCP environment, getting them onboarded and integrated, and keeping them unblocked so the product delivers real savings on their workloads. You’ll work closely with the core engineering team, but your center of gravity is the customer, not the roadmap.

Initial domain: BigQuery cost optimization — slot management, reservation models, job-level optimization, query analysis at petabyte scale. As Rabbit’s optimization scope expands across GCP, so will yours.

• →Own technical adoption for a portfolio of enterprise customers — onboarding, configuration, and integrating Rabbit into their GCP setup until they hit first measurable savings
• →Be the go-to technical contact when something breaks — investigate, debug, and fix issues across data anomalies, pipelines, and BigQuery cost questions
• →Advise customers on GCP cost strategy — BigQuery reservation models, slot management, billing mechanics — and how Rabbit fits in
• →Run technical Q&A, troubleshooting sessions, and hands-on workshops with customer teams
• →Relay field signal back to Product and Engineering — you’ll have more customer context than anyone, and the core team builds on what you surface
• →When the product genuinely can’t cover a customer need, build a custom solution to bridge the gap — but the goal is always to fold that need back into the platform, not to maintain bespoke one-offs

Rabbit is an AI-first company. Agentic development practices are mandatory, not optional — Claude Code, Cursor, and agent-driven workflows are how we move. You’ll use them to integrate, debug, and unblock customers in hours, not days.

• 5+ years in a technical, customer-facing role — Customer/Solutions Engineering, Professional Services, TAM, or similar — with real hands-on engineering, not just advisory
• Deep BigQuery expertise — slots, reservations, pricing models, INFORMATION_SCHEMA, query optimization. Hard requirement; we’ll test for it.
• Strong SQL, and comfort in backend code (any language) — enough to integrate, script, and debug in a customer’s environment
• Hands-on GCP experience — you’ve worked with production workloads on Google Cloud
• Customer-facing instinct — you can run a technical conversation with an enterprise team without an Account Executive holding your hand
• Fluent with agentic coding tools (Claude Code, Cursor, Copilot, etc.) on real production work — not just demos
• Autonomy — small team, no middle management, you own customer outcomes

• GCP cost management, FinOps, or cloud billing optimization background
• Familiarity with BigQuery reservation models, slot pricing, and workload management
• Infrastructure-as-code experience (Terraform on GCP)

• Direct customer impact. You see your work land in dollars saved on real workloads, customer by customer.
• Hard problems, hands-on. BigQuery optimization at petabyte scale, real-world anomalies, messy integrations — not generic SaaS onboarding.
• Short path to the product. What you surface from the field shapes what the core team builds next.
• Own the relationship. Small team, real ownership over whether your customers succeed.

Why Join Rabbit

• Ownership from day one: Design your own pipelines, choose your own tools, architect your own solutions. We trust senior engineers and managers to make senior decisions
• Work with cutting-edge at scale: BigQuery optimization at petabyte scale, real-time anomaly detection, cost prediction algorithms — these are hard, unsolved problems. 
• Learn and grow fast: Work alongside data architects and senior engineers who will challenge you. Shipping to Fortune 500 companies will level you up faster than any course ever could
• Not for everyone. Perfect for you if: You're driven by impact, not comfort. You'd rather tackle hard problems with smart people than easy problems alone. You want your work to matter.