Software Engineer, Data Platform

Profound; New York (NY); Hybrid; USD 140,000 - 260,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

Profound is seeking a Software Engineer, Data Platform to design, build, and scale the infrastructure that powers data across our organization. You will architect scalable platforms and create tools for data scientists, analytics engineers, and ML engineers, enabling analytics, experimentation, and ML-powered features.

This is a great opportunity to work on a robust data platform in a fast-paced environment, shaping data workflows and governance while enabling cross-team collaboration.

Qualifications

• Experience building platforms for engineers and data scientists.
• Experience operating large-scale distributed data systems.
• Proficiency with lakehouse technologies (Snowflake, ClickHouse, Iceberg, etc.).
• Strong cloud experience (AWS, GCP, or Azure).
• Knowledge of data governance, reliability, and secure data operations.

Responsibilities

• Design and build platform infrastructure that supports ML, analytics, and software engineers, plus data scientists.
• Develop tools for data ingestion, transformation, quality, and observability.
• Architect scalable, reliable systems using Snowflake, ClickHouse, AWS, dbt, and Dagster.
• Build governance, access control, and data quality systems that scale.
• Enable MLOps with infrastructure for model development and productionization.
• Drive technical decisions around platform architecture and data patterns.
• Collaborate with product, engineering, and data teams to deliver impactful solutions.

Skills

Platform architecture

Distributed data systems

Cloud platforms (AWS/GCP/Azure)

Data governance

MLOps interest

Communication

Tools

Snowflake

ClickHouse

dbt

Dagster

Tinybird

Iceberg

AWS

GCP

Azure

Job description

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, and ML-powered features. This is a great opportunity for someone who enjoys building robust systems, solving complex technical challenges, and enabling teams through great platform design.

What you’ll do

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

Architect scalable, reliable systems using Snowflake, Clickhouse, AWS, dbt, and Dagster

Build governance, access control, and data quality systems that scale with the organization

Enable MLOps by creating infrastructure that supports model development and productionization

Drive technical decisions around platform architecture, tool selection, and data patterns

Collaborate with product, engineering, and data teams to understand needs and deliver impactful solutions

Who you are

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

Experience with or interest in MLOps and supporting machine learning workflows in production

Strong problem-solving skills and comfort operating in a fast-paced, impact-driven environment

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 NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.

For this role, the expected base salary range is $140,000 to $260,000 (NYC). 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.

#LI-PRO

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.

Will you now or in the future require visa sponsorship to work in the United States? *