About the role

Role Overview

As a Data Engineer on Cohere’s Analytics & Data Insights team, you’ll build and run foundational data and storage infrastructure that supports AI products and new customer experiences. You’ll work on complex, early problems where there are few established playbooks, partnering with researchers and engineers to turn initiatives into real outcomes.

Responsibilities

Work directly on storage and data infrastructure for AI systems and product launches
Collaborate daily with researchers and engineers
Run end-to-end implementations, driving initiatives through to delivery
Partner with research, marketing, sales, and finance to inform growth strategy and product direction

Requirements

5+ years experience building production-grade data processing systems
Strong command of Python and SQL
Experience with distributed data processing frameworks: Apache Beam, Spark, or Flink
Ability to transform unstructured data into performant datasets across storage backends including S3, GCS, and POSIX

Nice to Have

Experience with Kubernetes
Familiarity with analytics tooling such as BigQuery, Airflow, or dbt
Knowledge of Java or Golang

Additional Signals

Genuine excitement for AI research and working “in the weeds”
Comfort building at the edge of what’s known, with a desire to create new systems rather than just optimize existing ones

About Cohere

Cohere’s mission is to scale intelligence to serve humanity by training and deploying frontier AI models for developers and enterprises. The company builds AI systems used in applications like content generation, semantic search, RAG, and agents, with a focus on deploying value through product and customer experiences.

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