Data Engineer

present of AI; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

present of AI is seeking a data engineer to build and maintain data pipelines and models connecting product usage, customer, sales, and revenue data for the enterprise business.

The candidate will work with SQL, Python, and modern warehousing tools, with experience integrating CRM and billing systems and translating business requests into reliable, well-documented data solutions for sales, finance, and revenue operations.

Qualifications

• Hands-on data engineering with SQL and Python.
• Ability to turn unclear business requests into reliable data systems.
• Experience working with sales, finance, and revenue operations.

Responsibilities

• Build and maintain data pipelines and data models connecting product usage, customer, sales, and revenue data.
• Turn unclear business requests into reliable, well-documented data systems.
• Collaborate with sales, finance, and revenue operations to ensure trusted data for forecasting and reporting.

Skills

SQL

Python

Tools

dbt

Airflow

Snowflake

BigQuery

Job description

This role builds and maintains the data pipelines and models that connect product usage, customer, sales, and revenue data for the enterprise business. A strong candidate brings years of hands on data engineering with SQL, Python, modern warehouses, and tools like dbt or Airflow, plus experience integrating CRM and billing systems. They also need to turn unclear business requests into reliable, well documented data systems and work closely with sales, finance, and revenue operations.

How it fits the AI era

AI speeds up parts of pipeline building and data quality checks, but the core work of designing trustworthy models and connecting messy business systems still needs human judgment. The role stays human in translating what sales and finance actually need and in deciding what data can be trusted for forecasting and reporting. AI makes the volume of data and the pace of requests higher, so clear thinking about structure and governance matters more.

How it builds AI experience

Working here means building data foundations for a company that generates video and images with AI at large scale, so there is exposure to product usage data from a generative AI platform. A candidate can build relevant experience by learning how AI product metrics differ from standard SaaS metrics and by practicing pipeline work with tools like dbt and Airflow. Understanding how AI generated content is used and measured would help connect product data to business reporting.

Worth showing

• SQL and Python pipelines
• dbt or Airflow
• Snowflake or BigQuery
• CRM and billing integration
• B2B SaaS metrics

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Higgsfield

Higgsfield is an AI-native creative suite that generates cinematic-quality video and images from text, image, or link inputs, per the company.