About the role
Profound is on a mission to help companies understand and control their AI presence. We are looking for a Software Engineer, Data Platform to design, build, and scale the infrastructure that powers data across our organization. You will architect scalable platforms and develop tools and frameworks that enable data scientists, analytics engineers, and machine learning engineers, while building the foundation for analytics, experimentation, and ML-powered features. This is a great opportunity for someone who enjoys building robust systems, solving complex technical challenges, and enabling teams through great platform design. What you’ll do Design and build platform infrastructure that supports machine learning, analytics, and software engineers, as well as data scientists across the company Develop tools and frameworks for data ingestion, transformation, quality, and observability Architect scalable, reliable systems using Snowflake, Clickhouse, AWS, dbt, and Dagster Build governance, access control, and data quality systems that scale with the organization Enable MLOps by creating infrastructure that supports model development and productionization Drive technical decisions around platform architecture, tool selection, and data patterns Collaborate with product, engineering, and data teams to understand needs and deliver impactful solutions
Who you are Proven experience building platforms for engineers and data scientists in areas such as product analytics and experimentation, data discovery and catalog, data quality and observability, or governance and access control Experience designing and operating large-scale distributed data systems Expertise with analytics and lakehouse technologies including ClickHouse, Tinybird, Snowflake, or Iceberg Strong cloud experience with AWS, GCP, or Azure Experience with data governance, reliability, and secure data operations Excellent communication skills with the ability to influence across engineering and product teams Experience with or interest in MLOps and supporting machine learning workflows in production Strong problem-solving skills and comfort operating in a fast-paced, impact-driven environment Motivated by access to rare and interesting AI data based on real human interactions with large language models Excited by the opportunity to own and shape Profound’s data platform at an early stage Interested in working on meaningful problems at the intersection of AI and marketing Comfortable in a fast-moving culture with autonomy, trust, and room to grow Drawn to competitive