Data Engineer

About Profound

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 $20 million Series A led by Kleiner Perkins with participation from NVIDIA, Khosla Ventures, Saga Ventures, South Park Commons, and SV Angel, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin).

Learn more at tryprofound.com .

About the Role

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.

What You’ll Do

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

What We Expect from You

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

What You’ll Get Out of It

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.