Higgsfield AI is building ambitious AI products, and this Data Engineer role is designed for someone who wants to help scale reliable data infrastructure that powers enterprise B2B reporting and go-to-market decisions. You will work with a highly experienced, fast-moving, and international team, with significant ownership, direct impact, and room to grow as the company scales.
This position is hybrid in the San Francisco, CA area, with a compensation range of $200,000 - $260,000 per year based on experience, skills, scope, and location. You’ll also be bonus eligible, with potential participation in the company’s discretionary annual bonus program and stock option program.
Responsibilities
- Design, develop, and maintain scalable data pipelines that integrate CRM, billing, product analytics, and other business-critical systems.
- Connect product usage, account activity, sales pipeline, contracts, and revenue data to deliver a consistent view of B2B customers.
- Build dependable, well-documented data models for 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.
- Continuously 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, including production-grade ETL/ELT pipeline development.
- Experience with modern data warehouses such as Snowflake, BigQuery, or Redshift.
- Hands-on experience with transformation and orchestration tools such as dbt, Airflow, Dagster, or similar technologies.
- Experience integrating data from systems like 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.
Technologies
SQL, Python, ETL/ELT, Snowflake, BigQuery, Redshift, dbt, Airflow, Dagster, Salesforce, HubSpot, Stripe
Benefits
- Medical, dental, and vision insurance
- Competitive 401(k) retirement plan with company matching
- Bonus eligible; may participate in the company’s discretionary annual bonus program
- Eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth
- Comprehensive benefits package designed to support employees professionally and personally
- 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
Compensation & Equity
Base Salary: Anticipated range of $200,000 - $260,000 per year, depending on experience, skills, scope, and location.
Bonus: Bonus eligible and may participate in the company’s discretionary annual bonus program.
Equity: Stock option program participation in addition to cash compensation.
Hybrid Role (San Francisco Bay Area)
- Expected to work from the San Francisco office three full days per week, with remaining days remote.
- Expected to be available during agreed working hours with sufficient overlap with the relevant time zone.
- Values in-person collaboration, active communication, responsiveness, and close partnership across teams.
