Senior Data Engineer - GTM Team

Rippling • San Francisco, CA

2d

About The Position

We are looking to bring on a talented GTM minded Data Engineer to join the team. The ideal candidate wants to work in an agile environment close to the business and is not tied down to one specific product, but rather is a catalyst of innovation serving various business needs and pains. You will design and implement backend services, AI integrations, and data pipelines that power Rippling's sales automation stack - including account/lead enrichment, recommendation engines, AI-powered workflows in CRM, and multi-LLM orchestration frameworks. You'll work closely with AI/ML engineers, data scientists, and sales partners to bring production-grade AI systems to life, while maintaining reliability, performance, and developer velocity.

Requirements

• 3+ years of professional software engineering experience (preferably in backend, data, or AI-focused roles).
• Strong Python development and system design skills.
• Experience building production-grade services or data-intensive applications.
• Familiarity with AI/ML systems, including model training, inference APIs, or recommendation engines.
• Experience working with data platforms such as Databricks, Snowflake, or Kafka.
• Experience working with GTM teams (sales/marketing/RevOps/Sales Ops)
• Excellent communication skills and ability to collaborate cross-functionally in a fast-paced environment.

Responsibilities

• Design and implement scalable backend systems that power AI/ML-driven recommendation, ranking, and personalization workflows.
• Build and maintain multi-LLM applications using OpenAI, Claude, and custom Databricks models, integrating them into real-time workflows.
• Develop and optimize data pipelines for model training, enrichment, and scoring using Databricks, Snowflake, and Kafka.
• Collaborate on AI/ML pipeline development, training and deploying models such as XGBoost, classification systems, and matrix factorization-based recommenders.
• Design and maintain scalable data pipelines that unify data across CRM, product systems, marketing platforms, billing systems, and internal databases
• Build internal tools and APIs to support feature generation and GTM evaluation frameworks for AI models.
• Partner with Growth Engineering and GTM stakeholders to translate growth initiatives into scalable AI and data systems.

Benefits

• Competitive salary, significant equity, and comprehensive benefits
• Opportunity to work on cutting-edge AI/ML and data infrastructure
• Direct hands-on exposure to high-growth GTM businesses
• High ownership and autonomy in a fast-growing team
• Collaborative environment focused on technical excellence and real business impact

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees