Fireworks AIData Analytics Engineer
Fireworks AI is hiring a Data Analytics Engineer for a remote role open to applicants in United States. It pays $180k-$240k a year and Level rates it ; you can apply on Fireworks AI.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include PyTorch, Python and SQL.
- Level classifies it as a senior role.
- Level lists 92 other open roles at Fireworks AI.
AI in this role
Define metrics, extend data models, and build production data pipelines supporting AI platform products at Fireworks.
About Us:
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 ROLE
We 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 FOR
Required
5+ 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.
Preferred
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.
Why Fireworks?
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.
How we rate this
Data Analytics Engineer at Fireworks AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where metrics was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where product analytics was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Analytics, Metrics, Data Pipelines, Product Analytics, and AI Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new remote data jobs (Works on AI ●●●○ or higher) by email
One email a week with the new remote data jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step