Arena Intelligence is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use.
Millions of people use Arena Intelligence each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress.
We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.
About the RoleArena is seeking an experienced Analytics Engineer to own the data foundations that power real-world AI evaluation. In this role, you will design and build the analytics-layer data models, pipelines, and metrics that turn raw user activity and votes into trusted insights for the public, AI labs, and enterprise customers.
This role sits at the intersection of data engineering, analytics, and product. You’ll work closely with researchers, product managers, and engineers to define schemas, standardize metrics, and ensure that our evaluation data is accurate, interpretable, and scalable. Your work will directly shape how AI performance is measured, understood, and acted upon across the industry.
This is an ideal role for someone who enjoys building clean, well-modeled data systems, cares deeply about data quality and correctness, and wants to see their work influence both product decisions and external customers.
You’llOwn the design and implementation of analytics-ready data models, schemas, and tables in our data warehouse
Build and maintain reliable data pipelines (batch and incremental) that transform raw event and vote data into standardized, trusted datasets
Define and standardize core metrics used across product, research, and customer-facing evaluations
Partner with product managers and researchers to translate evaluation questions into robust data models
Develop and maintain dashboards, reports, and data artifacts used by internal teams and external partners
Ensure data quality through testing, validation, monitoring, and documentation
Orchestrate and schedule data workflows using Airflow or equivalent tools
Optimize queries and pipelines to support large-scale analytical workloads
Contribute to improving data discoverability, lineage, and documentation across the warehouse
3+ years of experience in analytics engineering, data engineering, or a closely related role
Strong proficiency in SQL, with experience designing analytics-friendly schemas and transformations
Hands-on experience working with a modern data warehouse (e.g., Databricks, Snowflake, BigQuery)
Experience building and orchestrating data pipelines using Airflow or similar workflow orchestration tools
Proficiency in Python for data transformation, validation, and pipeline development
A strong understanding of data modeling best practices (e.g., dimensional modeling, metrics layers)
Experience operating and debugging production data pipelines with a focus on correctness and reliability
Nice to have's
Experience with Spark or other distributed data processing frameworks
Familiarity with Delta Lake or similar table formats
Experience supporting experimentation, evaluation, or metrics-heavy products
Exposure to machine learning systems or ML-adjacent analytics
Experience improving data discovery, lineage, or documentation at scale
We offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
The opportunity to work on cutting-edge AI with a small, mission-driven team
A culture that values transparency, trust, and community impact
Come help build the space where anyone can explore and help shape the future of AI.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
