2 months ago
Stockholm, Sweden +2 moreMid Level
H1B sponsor
Base Salary
$150k - $250k/yr
Responsibilities
- Build and improve Modal’s analytics stack for self-serve analysis, metrics tracking, and external customer reporting.
- Develop product analytics for products such as LLM Inference Endpoints.
- Identify cost savings and optimization opportunities across tools and financial operations.
- Write data pipelines supporting business operations, including cloud compute economics and sales compensation.
- Create foundational datasets for product use cases, financial reporting, and marketing campaigns.
- Partner with teams as a data adviser and provide strategic analysis and consulting.
Requirements
- Demonstrated fluency in SQL and proficiency in Python.
- Professional experience with at least two of Snowflake, dbt, dlt, Modal, Hex, and Posthog.
- Ability to turn data work into business action and measurable impact.
- High attention to detail and precise communication skills.
- Strong interpersonal and relationship-building skills.
- Preferred: experience with AI products, LLM inference, or sandboxes.
- Preferred: experience in financial operations, fraud, sales operations, or risk, particularly in AI contexts such as token cost optimization.
- Preferred: project management skills and active participation in the data community.
About Modal
Modal builds a serverless compute platform for AI and data workloads, offering instant GPU access, sub-second container starts, and native storage to run inference, fine-tuning, and batch jobs. It sells a usage-based cloud service to developers and ML teams to deploy generative models and pipelines. Privately held and headquartered in New York City, its customers include companies like DoorDash and Ramp.