Product Engineer (BigQuery)

At Rabbit, the unit of value is shipped product, not lines of code. AI handles the typing. The scarce skill is deciding what to build, validating it with real customers, and getting it to GA. We’re hiring a Product Engineer who lives that loop on BigQuery — Rabbit’s primary optimization surface and the one our customers spend the most on.

Two responsibilities, one feedback loop:

1. Ship features end-to-end — bring the idea (or pick one off the shelf), prototype it, pilot with a handful of customers, iterate on real feedback, take it to GA.
2. Customer success on what’s already shipped — help enterprise customers adopt existing Rabbit features, surface what’s missing, and unblock them when something breaks.

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.

• Identify optimization opportunities by working directly with enterprise customers and reading their workloads
• Prototype features fast — proof-of-concept first, polish later
• Run customer pilots: design the experiment, gather feedback, decide whether to iterate or kill
• Take validated prototypes to GA: production-grade pipelines, APIs, infrastructure-as-code
• Drive adoption of shipped features — onboarding, technical Q&A, troubleshooting
• Investigate and resolve real-world data anomalies, pipeline issues, and BigQuery cost questions
• Feed field signal into product direction — you’ll have more customer context than anyone

Rabbit is an AI-first company. Agentic development practices are mandatory, not optional — Claude Code, Cursor, and agent-driven workflows are how we move. We measure output in shipped features, not commits.

Builders, not coders. If you’re attached to writing every line yourself, this won’t fit. If you orchestrate AI agents to compress idea-to-prototype from weeks to hours, you’ll thrive. The role is about judgment — what to build, for whom, and when it’s good enough — not implementation.

Must-have:

• 5+ years of software or data engineering experience — you’ve shipped real features to real users
• Deep BigQuery expertise — slots, reservations, pricing models, INFORMATION_SCHEMA, query optimization. Hard requirement; we’ll test for it. (Equivalent depth in another data warehouse plus willingness to ramp on BigQuery fast also works.)
• Strong SQL
• Comfortable in backend code (any language) — you’re not afraid to jump in when needed
• Fluent with agentic coding tools (Claude Code, Cursor, Copilot, etc.) on real production work — not just demos
• Customer-facing instinct — you can run a technical conversation with an enterprise team without an Account Executive holding your hand
• Comfort with ambiguity — you’ll often define the problem before solving it
• Autonomy — small team, no middle management, you own outcomes

Strong plus:

• GCP cost management, FinOps, or query execution planning background
• Experience taking a feature from blank page to GA, not just maintaining
• Prior Solutions Architect, TAM, or Forward Deployed Engineer experience in the data space

• Your ideas ship. No PoC graveyard. The optimization algorithm you prototype on Tuesday can be saving a Fortune 500 customer millions on Friday.
• Direct customer exposure. You see the impact of what you build, in dollars, on real workloads.
• Hard problems. BigQuery optimization at petabyte scale, real-time anomaly detection, cost prediction — unsolved at most companies. Not CRUD.
• End-to-end product ownership. You take features from idea to GA — shaping the problem, prototyping, validating with customers, and shipping to production. There’s a roadmap and a team behind it; your job is to own the features you take on, not to push tickets through a queue.
• AI-first leverage. You’ll work with the best agentic tools and a team that expects you to use them — your throughput compounds.

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.

In Return We Offer

• the opportunity to maintain a healthy work-life balance with financial initiatives to support physical and mental health and green commuting, including support for remote work, commuting, and eyeglasses (depending on the location)
• continuous training and learning opportunities with yearly allocated learning hours from working time, including language learning (English and German)
• social activities for everyone (team building events, company breakfasts, Christmas, Halloween, and alumni parties, sport events, professional meetups, darts tournaments)

...last but not least, a great community and an international environment. :)