3 months ago
Base Salary
$140k - $260k/yr
Responsibilities
- Design and build platform infrastructure supporting machine learning, analytics, software engineering, and data science teams.
- Develop tools and frameworks for data ingestion, transformation, quality, and observability.
- Architect scalable and reliable systems using Snowflake, ClickHouse, AWS, dbt, and Dagster.
- Build governance, access-control, and data-quality systems that scale with the organization.
- Create infrastructure that enables model development and productionization through MLOps.
- Drive technical decisions involving platform architecture, tool selection, and data patterns.
- Collaborate with product, engineering, and data teams to understand needs and deliver platform solutions.
Requirements
- Proven experience building platforms for engineers and data scientists in product analytics, 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.
- Experience with or interest in MLOps and supporting machine-learning workflows in production.
- Strong communication, problem-solving, and cross-functional influence skills.
- Comfort working autonomously in a fast-moving, impact-driven environment.
Benefits
- On-site role based in the NYC or San Francisco office.
- Visa sponsorship is available for qualified international candidates.
- Total compensation includes equity and a full range of benefits and perks.
Tech Stack
Categories
Data EngineeringDevOps
About Profound
Profound builds a SaaS marketing intelligence platform that helps enterprise brands measure and improve how they appear in AI-driven discovery across tools like ChatGPT and Perplexity. The product delivers real-time visibility analytics, competitive intelligence, and optimization insights for search-like AI channels. The company is privately held, headquartered in New York, and is Series C–funded.