Software Engineer, Data Platform

Profound•New York, NY

2d•$140,000 - $260,000•Onsite

About The Position

Profound is the marketing platform for the AI era. As people increasingly turn to ChatGPT, Perplexity, and Gemini to decide what to buy, we give brands the intelligence to see how AI represents them and the Agents to act on it. Today, ~13% of the Fortune 500, plus companies like Ramp, Figma, Chime, Calendly, and DocuSign, use Profound to turn AI Search from a black box into a measurable growth channel. Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we're a lean, fast-moving team across NYC, SF, Buenos Aires, and London, shipping at a relentless pace and defining a new category at the biggest shift in marketing in 25 years. If you want to do the best work of your career at the frontier of AI, come build it with us. 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.

Requirements

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

Responsibilities

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