Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
THE ROLEWe are seeking the first Data Analytics Engineer at Fireworks who will support our product management team.
You will define canonical metrics that measure user behavior, product performance, system performance, and financial measures. You’ll ensure the metrics accurately measure what the business needs to know and that they are socialized and understood across teams and senior leaders. You will extend and improve our data model, write pipelines to compute metrics, and partner with the data platform team to put them into production following rigorous engineering standards.
You’re a good fit for this role if you enjoy operating highly autonomously, if your working style stresses both efficiency and correctness, and if you love bringing structure to complex and messy questions.
WHAT WE'RE LOOKING FORRequired5+ years in data science, product analytics, analytics engineering, or a combination.
Experience defining, analyzing, and aligning business users on shared metrics.
Experience building or working on production data pipelines, hands-on.
Proficiency in SQL, Python, or similar languages.
Excellent communication with senior level stakeholders, technical and non-technical.
Demonstrated autonomy in an environment with open ended problems.
Availability to work in office in San Mateo 3x days per week.
Experience analyzing performance of self-service developer-facing products.
dbt, Coalesce, or a similar transformation framework in production — models, tests, docs, shared repo
Background in AI infrastructure including inference, GPU-hour metering, attributing revenue to mixed model use, etc.
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Skills Required
- 5+ years of experience in data analysis, analytics engineering, and/or data engineering
- Strong SQL proficiency, including schema design and query optimization
- Strong data visualization proficiency and dashboard development experience
- Working knowledge of data engineering and Git-based pull request and code review workflows
- Strong analytical thinking and root-cause analysis skills
- Clear communication skills with non-technical stakeholders
- Bias toward building systems and automating recurring manual work
- Python proficiency for automation, data work, and integrations
- Experience building LLM-powered agents or automation workflows
- Experience with modern BI and transformation tools such as Sigma, Looker, Tableau, dbt, or Coalesce
- Background in AI infrastructure, developer tools, or usage-based platforms
- Domain expertise in billing and revenue systems, product analytics, HR systems, or partner and marketplace economics
What We Do
Fireworks.ai offers generative AI platform as a service. We optimize for rapid product iteration building on top of gen AI as well as minimizing cost to serve. https://fireworks.ai/careers
