Data Engineer

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.

Profound 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.

• Maintain 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.