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Fireworks AI

AI inference platform for model deployment

Member of Technical Staff - Data Platform

Data Management +1Posted on Nov 10
Full-timeSan Mateo, CA, USA$220k - $300k /yrHybrid

About the Job

Requirements

  • At least 5 years of experience in data platform or data infrastructure engineering.
  • Experience administering a cloud data warehouse at scale, including performance tuning and cost management.
  • Experience operating ETL orchestration or transformation frameworks in production, such as Airflow, Coalesce, or dbt.
  • Proficiency in Python or a similar language for building data tooling and automation.
  • Experience with Terraform or other infrastructure as code.
  • Experience being on-call for data systems and responding to production incidents.

Responsibilities

  • Ensure the warehouse scales, queries are performant, and costs are controlled.
  • Contribute to data architecture principles and keep the data model organized as it scales.
  • Ensure data ingestion and ETL orchestration work reliably and efficiently.
  • Manage access controls to balance least-permissions policies with business growth speed.
  • Ensure the data quality framework protects the accuracy of critical business data.
  • Ensure the data platform complies with privacy regulations such as GDPR and CCPA, including PII classification, data retention, and data subject deletion requests.
  • Resolve production-impacting incidents efficiently, conduct postmortems, and identify improvements to ensure reliable operations.

Desired Qualifications

  • Experience with GCP services, including BigQuery, IAM, and GCS.
  • Experience managing a data quality or observability tool, such as Bigeye, Monte Carlo, or Great Expectations.
  • Experience designing access controls, data catalog, and data lineage services.
  • Experience implementing GDPR/CCPA compliance in data systems, such as PII tagging, retention policies, and deletion workflows.

About the Company

Fireworks AI

AI inference platform for model deployment

Fireworks AI provides an AI inference platform that helps organizations run, customize, and deploy machine learning models. It supports deployment, fine-tuning, and inference workflows, with access to open-source models and on-demand deployment options through a subscription model. The platform enables users to configure and optimize models for production environments, manage variants, and scale AI workloads while controlling costs. Unlike some competitors, the emphasis is on end-to-end production-grade inference and fine-tuning across a range of clients, from tech firms to research institutions and enterprises, with tools tailored for rapid deployment and cost efficiency. The long-term goal is to expand the use of AI in production by building compound AI systems, growing the team, and delivering broader platform capabilities that accelerate AI adoption in real-world settings.

Company size
201-500
Company stage
Series D
Total funding
$1.8B
Headquarters
Redwood City, CA
Founded
2022

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