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Higgsfield AI

AI-powered platform for cinematic content creation

Data Engineer

Data EngineeringUpdated on Nov 13
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 4 years of experience in data engineering, analytics engineering, or a related role, including building and maintaining complex production pipelines.
  • Hands-on experience building with AI, such as creating custom agents, skills, or automations using tools like Claude, ChatGPT, Gemini, or Cursor, and understanding where these tools are effective or limited.
  • Strong SQL and Python skills, plus experience with modern data warehouses and transformation or orchestration tools such as Snowflake or BigQuery, dbt, and Airflow or Dagster.
  • Experience integrating data from business systems such as Salesforce, HubSpot, or Stripe.
  • Ability to break ambiguous problems into clear steps and solve them methodically.
  • A proactive, self-directed approach, with the ability to take ownership and drive work to completion.
  • Ability to explain technical work and tradeoffs to nontechnical stakeholders.
  • Availability during agreed working hours and sufficient overlap with the relevant team's time zone.

Responsibilities

  • Own end-to-end data pipelines, from raw data collection and transformation to modeling, validation, and reporting.
  • Integrate CRM, billing, contract, and product usage data into a consistent, trusted view of B2B customers.
  • Build data models and dashboards for revenue reporting, commissions, forecasting, and customer insights.
  • Turn ambiguous business questions from Sales, RevOps, and Finance into scoped projects and drive them to completion.
  • Close data gaps across teams by partnering with backend engineering to capture new data or fixing broken pipelines.
  • Build AI-powered workflows, including agents, reusable skills, and automations, that work with the infrastructure and scale impact.
  • Validate data before delivery, using automated checks, monitoring, and documentation to keep it audit-ready.
  • Build executive-facing reports and dashboards for CEO- and VP-level audiences that are easy to read and highlight required action.
  • Work from the San Francisco office three full days per week and remotely on the remaining days.

Desired Qualifications

  • Experience partnering with Finance on high-precision data such as revenue, billing, or commissions.
  • Early-stage or growth-stage startup experience.

About the Company

Higgsfield AI

AI-powered platform for cinematic content creation

Higgsfield AI is an AI-native multimedia platform for professional creators, brands, agencies, and studios to produce cinematic video and image content at commercial quality and scale. Its agentic products automate multi-scene visual production, enabling users to create high-quality visuals across many scenes efficiently. The platform serves hundreds of Fortune 500 companies and claims more than 30 million users across 238 countries, supported by global infrastructure. Higgsfield differentiates itself through a large, scalable, end-to-end production platform tailored for professional visual content, backed by a substantial user base and enterprise-focused integrations, along with educational and social initiatives (Higgsfield Academy and Higgsfield For Good). The company’s goal is to expand access to professional-grade visual production for creators and brands worldwide, investing in R&D, global infrastructure, talent, and go-to-market efforts to grow its ecosystem.

Company size
501-1,000
Company stage
Series B
Total funding
$538.3M
Headquarters
San Francisco, CA
Founded
2023

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