Easiest & most cost-effective way to use Gen AI. fal.ai is how devs integrate dozens of generative media models. FLUX, Kling, Hailuo +1000 more. Backed by Bessemer, Kleiner Perkins and Sequoia.
About the role
As a Senior Data Engineer at fal, you will build the data infrastructure that turns our internal systems and external vendor relationships into a clear picture of cost, margin, and performance. Your work spans both edges of our stack - the production infrastructure that runs every model invocation, and the partner APIs and compute vendors whose costs we need to reason about in near real-time.
What they're looking for
- 5+ years of experience as a software or data engineer, with a software-engineering-heavy track record (Python, Go, or similar)
- Demonstrated ability to ship code into critical production infrastructure safely, including familiarity with database performance, query patterns, and incident risk
- Hands-on experience building ingestion pipelines into a warehouse (BigQuery, Snowflake, Redshift) and at least one low-latency analytical store (ClickHouse, Druid, Pinot, or similar)
- Strong SQL and working proficiency in dbt and orchestration tooling (Dagster, Airflow, Prefect)
- Track record of partnering across teams (infra, product engineering, data) and translating business questions into durable systems
- Bias for action and comfort working in fast-moving, ambiguous environments
More about this role
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
As a Senior Data Engineer at fal, you will build the data infrastructure that turns our internal systems and external vendor relationships into a clear picture of cost, margin, and performance. Your work spans both edges of our stack - the production infrastructure that runs every model invocation, and the partner APIs and compute vendors whose costs we need to reason about in near real-time.
This role sits at the intersection of software engineering and data engineering. You'll partner closely with Infra to safely...
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