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.

Requirements

Must-haves

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
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
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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aifigmamachine learningmlawsgcpazure

Platform: ashby
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