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Profound

Member of Technical Staff, Data Engineer

New York, New York
Salary
$160K - $250K
Level
Staff
Work type
On-site · New York

Not stated in the posting: visa.

Open. First seen 2 October 2026.

About the role

Profound's standard text

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.

We are 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 machine learning-powered features.

What you’ll do

  • Maintain and improve 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 infrastructure, including orchestration and CI or CD for data workflows
  • Support MLOps as machine learning models are developed and productionized
  • Be on call for critical pipelines and respond quickly to issues
  • Collaborate with data scientists, product managers, and engineers to launch new data products

Who you are

  • 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 machine learning workflows in production
  • Strong sense of ownership and accountability for data quality and reliability
  • 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 Union Square, NYC office, designed for builders who thrive on speed, iteration, and meaningful impact.

For this role, the expected base salary range is $140,000 to $260,000. 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, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.

Profound's standard text

#LI-DNI

Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.

What this role asks for

Particular to this role

Airflow · ClickHouse · MLOps · Machine Learning · dbt

Rare in Profound's other 33 open postings.

Standard for data engineering roles

AWS · Data Warehousing · Python · SQL · Snowflake

Common in data engineering postings at any company.

In most of Profound's ads

Figma · MongoDB

Named in most of its open postings, whatever the role.

72% of this description is written for the role. The rest is Profound's standard text, folded away below.

Read against Profound's other open postings on this site.

The team: Data

This role is one of 5 open in Data.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Figma (5 of 5), MongoDB (5 of 5), LLM (4 of 5), Machine Learning (4 of 5), Python (4 of 5), SQL (4 of 5), AWS (2 of 5)

OTHER ROLES ON THIS TEAM

From the team and dates on Profound's own job board.

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