About this role

▸about OP Labs — company background

OP Labs builds Optimism, a blockchain network that powers the next generation of financial infrastructure. Hundreds of companies, from the world's largest enterprises like Sony, Coinbase, Kraken, Uniswap, OKX, and Bitpanda to the most ambitious early-stage builders, use the OP stack to launch their own blockchains and bring their users onchain. Today, over 65% of Layer 2 activity on Ethereum runs through the OP stack.

We are a small team building at the speed of the ecosystem we support. The NYC office is our center of gravity, and we have a strong preference for people who can join us there on a hybrid schedule. We've raised $178M from a16z, Paradigm, and others. We have our work cut out for us and are looking for exceptional people to join us.

About the role

We are looking for a Business Intelligence Lead to own the business analytics and reporting that inform OP Labs' commercial and strategic decisions. This senior individual contributor role sits within Data & Strategy and combines business judgment, crypto knowledge, and clear communication to explain performance and recommend action.

You will partner closely with leadership, Sales, Partnerships, Product, and Finance to analyze revenue, customer activity, pipeline, and ecosystem trends. You will independently identify and scope business questions, combine onchain data with commercial data and market research, and turn findings into business cases, recurring reports, and recommendations with measurable follow-through.

What are the role responsibilities?

Own recurring business reporting: define and maintain metrics, dashboards, and business reviews that explain changes in revenue, customer activity, commercial pipeline, and ecosystem position.

Partner with leadership, Business Development, Product, and Finance to identify and prioritize business questions, scope the analysis, and translate findings into decisions.

Own analytical SQL, metric definitions, and data validation. Reconcile commercial and onchain sources, document discrepancies, and partner with engineering on production data infrastructure.

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