Data Engineer

Higgsfield; San Francisco (CA); Hybrid; USD 200,000 - 260,000; Full time

Benefits offered by this job

Equity

Bonus plan

401(k) with match

Medical insurance

Hybrid work model

Job summary

Higgsfield AI is seeking a Data Engineer, B2B & GTM to build and scale the data infrastructure powering our enterprise business and go-to-market operations.

This hands-on role will own the development of reliable data pipelines, integrations, and data models that connect product usage, accounts, sales, and revenue data. You’ll work with Sales, RevOps, Finance, and Product to enable reporting, forecasting, and strategic decisions.

Qualifications

• 6–8+ years in Data Engineering or Analytics Engineering.
• Strong proficiency in SQL and Python for production-grade pipelines.
• Experience with modern data warehouses (Snowflake/BigQuery/Redshift).
• Hands-on with data transformation/orchestration tools (dbt, Airflow, Dagster).
• Experience integrating data from CRM and billing platforms (Salesforce/Stripe).
• Knowledge of data modeling, architecture, and data quality practices.

Responsibilities

• Design, develop, and maintain scalable data pipelines across CRM, billing, product analytics, and other systems.
• Connect usage, accounts, sales, contracts, and revenue data for a unified B2B view.
• Build data models supporting analytics, forecasting, and revenue attribution.
• Partner with Sales, RevOps, and Finance to enable reporting and planning.
• Ensure data quality, governance, and documentation across pipelines.

Skills

SQL

Python

Data modeling

Stakeholder communication

Tools

Snowflake

BigQuery

Redshift

dbt

Airflow

Dagster

Salesforce

HubSpot

Stripe

Job description

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.