As the Founding Data Lead, you will establish the analytics function, manage high-volume data, and provide insights to inform business decisions.
ABOUT AGORA
At Agora, our mission is to transform how money moves. We believe stablecoins will underpin a new financial fabric, one that is faster, more global, and more efficient than today's siloed systems. That is why we are building AUSD and the Agora stack, a full-service platform that makes issuing, managing, and integrating stablecoins seamless, whether you're a developer, fintech, or institution. With AUSD, stablecoins become programmable, composable, and ubiquitous by default.
We believe digital dollars should be a public good: trusted, accessible, and built for real-world utility. Our mission is to drive adoption through customizable, user-friendly on-ramps that make stable, dollar-based value available onchain.
We're backed by world-class investors including Paradigm and Dragonfly, and we're growing a team to reimagine how value moves online.
We're intentional about who we bring on. If you're passionate about stablecoins and want to help create more open, intuitive ways for people to engage with money, let's talk.
ABOUT THE TEAM
We bring the discipline of high-performance finance teams and the creativity of a fast-moving crypto-native startup. We're a small, mission-driven group of builders who move fast, sweat the details, and hold a high bar for excellence, in product, code, and culture.
You'll be joining a tight-knit team that values clear thinking, extreme ownership, and high-velocity decision making. We operate in short feedback loops, support one another without ego, and are deeply motivated by the opportunity to build foundational infrastructure for the future of money.
ABOUT THE ROLE
As our Founding Data Lead, you'll build the analytics function from zero. You'll own the numbers the company runs on: how we define them, where they come from, and what they mean. High autonomy, high visibility, every part of the business.
You'll map data across our stack (onchain, product, financial, operational) into a coherent picture and tell the story of how Agora runs. Customer understanding is where you'll create the most leverage. You'll turn raw behavior into the insights that shape how we grow, where we invest, and what we build next.
You'll stand up self-service analytics so every team moves faster on its own, partner with engineering to raise the ceiling on what our data can do, and bring product analytics to life across the surfaces that matter.
BASIC QUALIFICATIONS
- 5+ years of experience in analytics, business intelligence, or data engineering, ideally as an early data hire at a high-growth startup.
- Strong SQL. You can write complex queries across joins, window functions, CTEs, and subqueries without thinking twice.
- Experience building and maintaining dashboards and metrics frameworks (Metabase, Looker, or similar).
- Ability to translate messy business context into clean data models.
- Comfort working with high-volume event data and the tooling to process it efficiently (Spark, Databricks, ClickHouse, or similar).
- Clear communication. You can present findings to an exec team and make data-driven recommendations that stick.
- Working knowledge of data orchestration tools (dbt, Airflow, Dagster, Prefect, or similar).
- Proficiency with a product analytics platform (Amplitude, Mixpanel, PostHog, Heap, or similar).
PREFERRED QUALIFICATIONS
- Experience with blockchain data: onchain indexing, subgraphs, multi-chain analytics, or DeFi protocols.
- Background in fintech, payments, or financial services.
Agora operates a centralized USD‑pegged stablecoin platform with robust compliance, security, and governance. We are equally committed to fostering a diverse, inclusive, and equitable workplace.
We are an Equal Employment Opportunity Employer. We do not discriminate based on race, color, ancestry, national origin, religion or creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related conditions), gender identity or expression, sexual orientation, age, marital status, military or veteran status, citizenship, or any other characteristic protected under applicable federal, state, or local law.
Similar Jobs
Sales
Lead the data and ML product vision: define roadmap, prototype models on noisy behavioral datasets, translate signals into user-facing features, partner with engineering to productionize ML, and generate insights to inform product roadmaps.
Top Skills:
AIData EngineeringExperimentationMachine LearningPredictive Analytics
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Own end-to-end product analytics: define questions and success metrics, run A/B tests, build dashboards and reusable SQL/Python analyses, investigate performance changes, and collaborate with Product, ML, and Data teams to inform product decisions.
Top Skills:
HexLlmLookerPythonSQLTableau
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm sales leads remotely, consult customers on property & casualty insurance needs, convert leads to policyholders, complete paid training and licensing, work scheduled shifts including weekends, and meet remote workspace and wired internet requirements.
Top Skills:
Dsl)FiberPcWired High-Speed Internet (Cable
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
