Member of Technical Staff, Data Platform

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.

You will architect scalable platforms and develop tools, services, and frameworks that enable data scientists, analytics engineers, machine learning engineers, and software engineers, while building the foundation for analytics, experimentation, and AI-powered features. You’ll own core components of Profound’s data platform, from data ingestion and processing to the APIs and infrastructure that make that data useful.

Your focus will be data, and your work will span backend engineering, cloud infrastructure, and production ML workflows. We value engineers who bring depth in an area and enjoy learning and working across others. You don’t need to be an expert in every part of our stack, but you should enjoy following a problem across systems and seeing it through to production.

What you’ll do

• Design and build platform infrastructure that supports engineering and data teams across the company and powers customer-facing features

• Develop tools and frameworks for data ingestion, transformation, quality, and observability

• Build backend services, APIs, and shared libraries that make data accessible, reliable, and easy for other engineers to use

• Architect scalable, reliable data systems using technologies such as Snowflake, ClickHouse, dbt, and Dagster

• Build and maintain the cloud infrastructure and deployment workflows behind these systems using AWS and infrastructure as code

• Build governance, access control, and privacy protections into the platform as it scales

• Work with data scientists and machine learning engineers to turn research workflows into reliable production systems, including retrieval, embeddings, and LLM processing

• Own platform components from design through deployment and ongoing operation, improving reliability, performance, and cost

• Drive technical decisions around platform architecture, tool selection, and data patterns, working closely with product, engineering, and data teams

Who you are

• Proven experience building data platforms or backend systems that support data-intensive products and workflows

• Strong software engineering skills in Python and SQL, with experience writing maintainable, tested production code

• Experience designing and operating distributed data systems, including pipelines, storage, and the services that use them

• Experience with analytical databases and data processing technologies such as ClickHouse, Snowflake, or similar systems

• Strong cloud experience with AWS or another major cloud provider, and familiarity with infrastructure as code, containers, and deployment automation

• Experience with data governance, access control, and secure data operations

• Comfortable investigating problems across application code, databases, and infrastructure, and taking responsibility for resolving them

• Experience with or interest in supporting machine learning and LLM workflows in production

• Excellent communication skills and the judgment to make practical tradeoffs across reliability, performance, cost, and delivery

• Curious about unfamiliar parts of the stack and willing to learn what’s needed to solve a problem

• Motivated by the opportunity to work responsibly with rare and interesting AI data based on real human interactions with large language models

• Excited to own and shape Profound’s data platform, working on meaningful problems at the intersection of AI and marketing in a culture with autonomy, trust, and room to grow

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 $175,000 to $265,000 (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.

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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.