7 months ago
Base Salary
$168k - $325k/yr
Responsibilities
- Build and integrate components of Ramp’s Analytics Platform and Machine Learning Platform.
- Build tools that improve the agility and data experience of applied scientists, AI engineers, and risk engineers.
- Collaborate with stakeholder teams to build and productionize machine learning applications.
- Build reliable, scalable, maintainable, and cost-efficient systems across the stack.
Requirements
- Experience with workflow orchestrators such as Airflow, Dagster, or Prefect.
- Experience building infrastructure on AWS, GCP, or Azure.
- Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.
- Strong Python programming skills.
- Understanding of analytics and machine learning workflows, with empathy for data science users.
- Expertise with AWS is preferred.
- Previous experience building online machine learning systems, feature stores, or streaming systems is preferred.
- Experience with Terraform and Datadog is preferred.
Benefits
- Flexible paid time off, unlimited AI token usage, centralized home-office equipment ordering, health and wellness stipend, intra-office travel budget, and weekly coffee stipend.
- Region-specific medical, dental, vision, retirement, parental leave, and other insurance benefits are available.
- U.S. employees receive in-office perks and relocation support to New York City or San Francisco as needed.
Tech Stack
Categories
About Ramp
Ramp builds a finance operations platform for businesses, combining corporate cards with expense management, bill pay, accounts payable, travel, and accounting automation. Founded in 2019 and headquartered in New York, the privately held company’s systems handle over $200B in annualized spend across 70,000+ companies. Its business model blends card interchange with software that helps finance teams control and automate spending.