Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.
Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.
We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.
We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us!
The Role
As Tempo’s Data expert, you’ll transform raw on-chain and ecosystem data into actionable insights that shape our protocol, ecosystem, and growth strategies. You’ll work closely with engineers, researchers, and product to build Tempo’s data foundation from 0 to 1 and better embed quantitative rigor into decision-making. You’ll relate data from stablecoins on blockchains today and existing payment systems worldwide to help us produce meaningful metrics and reports to move payments on-chain.
Responsibilities
Collaborate with research and product teams to design north star metrics to track business and protocol health.
Establish data pipelines (in-house and vendor-assisted), scalable data infrastructure, and self-serve dashboards and systems.
Translate key metrics and trends into clear guidance for product, partnerships, and GTM.
Design and evaluate strategic initiatives with cross-functional teams.
Collaborate with data providers and community to align on measurement standards.
Shape industry and ecosystem dialogue through translating technical analyses into rich storytelling and thought leadership.
Qualifications
6+ years of experience as a Data Scientist or Analytics Engineer (blockchain experience preferred).
Advanced proficiency in Python, SQL, and data analysis libraries.
Strong grounding in statistics, modeling, and experimental design.
Experience analyzing blockchain data (on-chain analytics, validator metrics, DeFi/NFT data, etc.).
Familiarity with EVM-compatible chains, smart contract data, and on-chain indexing tools.
Experience with data visualization and storytelling.
Attributes
Razor-sharp thinker with with strong data-based storytelling skills.
Intense curiosity about blockchain systems and user behavior.
Ability to translate data into clear, evidence-based insights.
Growth mindset and willingness to dive into new domains.
Self-starter comfortable operating in a fast-moving, startup environment.