Profound is the AI marketing platform built for the agentic era. See what your customers ask AI, deploy agents to act on it, and measure the results in a collaborative workbench. Backed by Kleiner Perkins, Lightspeed and Sequoia.
About the role
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
What they're looking for
- 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
More about this role
Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.
Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day.
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,...
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