Data Engineer

Posted 11 Hours Ago
Be an Early Applicant
8 Locations
Remote or Hybrid
200K-260K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software • Generative AI
The Role
Build and maintain scalable data pipelines, integrations, and data models connecting product, customer, sales, billing, and revenue data. Partner with Sales, RevOps, Finance, and Product to support forecasting, reporting, customer intelligence, segmentation, retention, and expansion analysis. Implement data validation, monitoring, documentation, and governance while improving infrastructure and automation for the company’s growing B2B operations.
Summary Generated by Built In

Why work at Higgsfield AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
About the role:

We're looking for a Data Engineer, B2B & GTM to build and scale the data infrastructure powering Higgsfield's enterprise business and go-to-market operations.

This role will own the development of reliable data pipelines, integrations, and data models that connect our product usage, customer, sales, and revenue data. You'll work closely with Sales, Revenue Operations, Finance, and Product to establish a trusted foundation for reporting, forecasting, customer intelligence, and strategic decision-making.

This is a hands-on engineering role with significant ownership and the opportunity to build scalable data systems in a rapidly growing B2B business.

What you'll do:

  • Design, develop, and maintain scalable data pipelines integrating CRM, billing, product analytics, and other business-critical systems.

  • Connect product usage, account activity, sales pipeline, contracts, and revenue data to create a consistent view of B2B customers.

  • Build reliable, well-documented data models supporting pipeline analytics, revenue reporting, customer segmentation, retention, and expansion.

  • Partner with Sales, RevOps, and Finance to support forecasting, territory planning, account prioritization, sales performance, and revenue attribution.

  • Establish visibility into how enterprise customers adopt and use Higgsfield's products, enabling insights into conversion, engagement, and expansion opportunities.

  • Implement automated validation, monitoring, documentation, and governance to ensure data accuracy and consistency across systems.

  • Identify opportunities to improve pipeline performance, automation, and infrastructure as the business grows.

Requirements:

  • 6-8+ years of experience in Data Engineering, Analytics Engineering, or a closely related technical role.

  • Strong proficiency in SQL and Python, with experience building production-grade ETL/ELT pipelines.

  • Experience working with modern data warehouses such as Snowflake, BigQuery, or Redshift.

  • Hands-on experience with data transformation and orchestration tools such as dbt, Airflow, Dagster, or similar technologies.

  • Experience integrating data from business systems such as Salesforce, HubSpot, Stripe, or other CRM and billing platforms.

  • Strong understanding of data modeling, data architecture, and data quality best practices.

  • Familiarity with B2B SaaS metrics, including ARR, pipeline, conversion, retention, churn, and expansion.

  • Ability to translate ambiguous business requirements into scalable technical solutions.

  • Strong communication skills and experience partnering directly with nontechnical stakeholders.

Compensation & Benefits

  • We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.

  • Base Salary: The anticipated salary range for this role is $200,000 - $260,000, depending on experience, skills, scope, and location.

  • Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program.

  • Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth.

  • Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.

  • The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.

  • Significant ownership, direct impact, and opportunities for professional growth as the company scales.

This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams.

Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Skills Required

  • 6-8+ years of experience in Data Engineering, Analytics Engineering, or a closely related technical role
  • Strong proficiency in SQL and Python
  • Experience building production-grade ETL/ELT pipelines
  • Experience with modern data warehouses such as Snowflake, BigQuery, or Redshift
  • Hands-on experience with data transformation and orchestration tools such as dbt, Airflow, Dagster, or similar technologies
  • Experience integrating data from business systems such as Salesforce, HubSpot, Stripe, or other CRM and billing platforms
  • Strong understanding of data modeling, data architecture, and data quality best practices
  • Familiarity with B2B SaaS metrics, including ARR, pipeline, conversion, retention, churn, and expansion
  • Ability to translate ambiguous business requirements into scalable technical solutions
  • Strong communication skills and experience partnering directly with nontechnical stakeholders
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
70 Employees
Year Founded: 2023

What We Do

Higgsfield is an AI-native generative video platform that provides infrastructure for AI video and image generation, enabling creators, brands, and marketing teams to produce cinematic-quality visuals at scale by integrating various AI models into a unified workflow.

Similar Jobs

Samsara Logo Samsara

Data Engineer

Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Easy Apply
Remote or Hybrid
Canada
4000 Employees
111K-143K Annually

Miratech Logo Miratech

Data Engineer

Information Technology
In-Office or Remote
Gananoque, ON, CAN
701 Employees

Euler Software Inc. Logo Euler Software Inc.

Data Engineer

Artificial Intelligence • Software
In-Office or Remote
7 Locations
44 Employees

Affirm Logo Affirm

Senior Software Engineer

Big Data • Fintech • Mobile • Payments • Financial Services
Easy Apply
Remote
Canada
2200 Employees
153K-213K Annually

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
70 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account