Software Engineer, Data Platform

Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage. We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run. 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 compensation and meaningful equity LOCATION This is an on-site role based in our NYC or SF office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates. For this role, the expected base salary range is $140,000 to $260,000 (NYC and SF). Comp may vary by location. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills,