Posted on Apr 14, 2026 Apply now Location
Full time
Risk Labs is the foundation and core team behind UMA and Across. The Risk Labs team operates as one cohesive culture, but focuses on two core protocols: UMA and Across. UMA and Across are decentralised protocols governed by community members across the globe in DAOs, and are supported by Risk Labs Foundation. UMA's optimistic oracle (OO) can record any verifiable truth or data onto a blockchain. Across is leading the future of interoperability with its frontier intents-based architecture.
We are a remote-first, globally distributed team focused on building infrastructure that pushes crypto forward.
This is the first analytics engineering role at Risk Labs. The transformation layer has reached a level of complexity that demands a dedicated owner, and right now that work is distributed across people hired to do other things. You'll sit within Data Engineering, reporting to the Platform Engineering Lead, and work most closely with our Data Analytics Lead and Product team as your primary stakeholders.
We are serious about building a truly agentic data platform, and this hire is a prerequisite for that. Agentic systems are only as good as the data they run on. Without deterministic, well-governed, and consistently-defined data served from a single authoritative source, any AI initiative we pursue is built on unstable ground. This role is the foundation that makes all of it possible.
The transformation layer has a clear, documented owner. Questions about where a metric comes from have fast, traceable answers.
BigQuery costs are meaningfully lower within the first few months, without degradation in the data we're serving.
New product launches ship with data instrumentation built in from day one.
You have materially freed up the Analytics Lead to focus on analysis and strategic insight, not data preparation.
Automated data quality tests are running in production and catching issues before they reach stakeholders.
When something breaks, the root cause is understood and resolved by you, not escalated.
AI agents and tooling at Risk Labs are pulling data from a governed, deterministic, well-documented data layer, and you built the foundation that made that possible.
You manage your own priorities, communicate proactively when things shift, and rarely need to be told what to do next.
Deep, demonstrable expertise in data modelling across multiple time horizons, dimensions, and levels of granularity
Advanced SQL: performant, readable, and warehouse-aware
Experience owning a transformation layer in production, including a meaningful refactor or migration
Hands-on experience designing and implementing data quality frameworks: testing, alerting, and lineage
Experience with event data and product analytics tooling (Amplitude, Segment, or similar)
Experience with crypto data, or data environments characterised by high normalisation, irregular schemas, and significant inherited complexity
Strong cross-functional communication; able to work closely with non-technical stakeholders without losing precision
Comfortable with ambiguity and able to manage a shifting backlog without losing momentum
Experience with dbt
Familiarity with BigQuery: query optimisation, partitioning, clustering, materialisation strategies
Prior exposure to analytics work
Practical use of AI/LLM tooling to accelerate your own workflows
BigQuery, dbt, Python, Airflow, Amplitude, Preset/Superset, Hex, GCP (Cloud Run, Cloud Build, Cloud Functions, Datastream), Slack, GitHub, Claude Code, Codex
Strong opinions, loosely held. You arrive with a point of view and argue for it, but update when the evidence changes.
Bias towards less. Ten well-built models over fifty fragile ones. You're comfortable cutting rather than accumulating.
Genuinely excited about AI as a practical tool. You've already figured out how to use it to go faster and don't wait for permission to try something new.
An excellent async communicator. You over-communicate status, flag blockers early, and don't leave stakeholders wondering.
Comfortable in the unknown. You don't need everything documented before you make progress. You can read a system and form a view.
Self-managing. You triage, sequence, and execute independently. This is not a role with a well-defined sprint handed to you each week.
Competitive salary with a mix of salary, tokens, and equity. Our goal is to create a holistic package that meets your needs and provides exposure to the upside of what you're building and the impact you create.
Paid in stablecoins or fiat, your choice
Unlimited vacation, and we actually take it
Family care, training, and development support
100% remote
At least two company-wide offsites per year
Studies show that women and people of colour are less likely to apply unless they meet every qualification. Risk Labs is committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role, even if your experience doesn't align perfectly, we encourage you to apply.
Risk Labs is an equal opportunity employer and does not discriminate based on race, religion, gender, sexual orientation, age, disability, or veteran status.
We value curiosity.
We value openness, honesty, and directness.
We value integrity.
We value iterative learning.
We value taking smart risks.
We value being high agency.
We're a mission-driven team aligned with the ethos of crypto and focused on meaningful impact. We value ownership, adaptability, and kindness. We support personal wellness, professional growth, and flexible work environments, whether you're family-focused, nomadic, or somewhere in between.
Our global team blends deep technical expertise with diverse business perspectives. Backed by investors including Placeholder, Blockchain Capital, Bain Capital, Coinbase, and Dragonfly.
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