Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay.
We recently raised a $35 million Series B funding round led by Sequoia Capital, with continued backing from venture capital firms Kleiner Perkins, Khosla Ventures, Saga VC, and South Park Commons, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin).
Learn more at tryprofound.com.
About the RoleProfound is looking for an experienced Data Engineer to own and scale our data platform. You will maintain and optimize our pipelines, design new ingestion processes, and support the data needs of our product, data science, and go-to-market teams. This is a great opportunity for someone who enjoys working with modern data tooling, improving performance and reliability, and building the foundation for ML-powered features.
What You’ll DoMaintain and improve our data pipelines to keep data flowing reliably from ingestion to delivery
Optimize performance and costs across Snowflake, Clickhouse, AWS, dbt, and Dagster
Own data quality by implementing monitoring, alerting, and validation
Manage and extend our infrastructure, including orchestration and CI/CD for data workflows
Support MLOps as we develop and productionize machine learning models
Be on call for critical pipelines and respond quickly to issues
Collaborate with data scientists, product managers, and engineers to launch new data products
Proven experience designing, building, and maintaining production data pipelines
Proficiency in Python and SQL
Hands-on experience with dbt, orchestration frameworks (such as Dagster, Airflow, or Prefect), and AWS
Familiarity with Snowflake, Clickhouse, or other modern data warehouses
Strong problem-solving skills and a proactive mindset
Experience with or interest in MLOps and supporting ML workflows in production
A sense of ownership and accountability for data quality and reliability
Access to some of the most interesting and rare data assets in AI, based on real human interactions with large language models
The chance to own and shape Profound’s data platform at an early stage
The opportunity to work on meaningful problems at the intersection of AI and marketing
A fast-moving culture with autonomy, trust, and room to grow
Competitive compensation and meaningful equity
This is an on-site role in our Union Square office—designed for builders who thrive on speed, iteration, and impact.
We’re happy to support visa sponsorship for qualified international candidates.
Top Skills
What We Do
Hundreds of millions of consumers are now using AI Search like ChatGPT or Perplexity to discover brands and products.
Profound has developed the first analytics platform to help enterprise brands understand and improve how they show up in AI Search.
