---
title: 'Senior Software Engineer, Data at fal'
canonical: 'https://feeny.ai/job/senior-software-engineer-data-fal-san-francisco-g4yj0rmp2bxz'
type: 'job'
last_seen: '2026-10-15'
---

# Senior Software Engineer, Data at fal

- **Company:** fal
- **Location:** San Francisco, CA
- **Compensation:** $180k–$225k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-07
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/fal-ai/48d4e68f-996b-4fab-8ff1-563d9f1824d5/application

**Skills:** Python, Go, SQL, BigQuery, ClickHouse, Druid, Pinot, dbt, Dagster, Airflow, Prefect, GPU/accelerator workload instrumentation, FinOps, Infrastructure cost modeling, Cloud-native environments

> Build data infrastructure and ingestion pipelines to analyze cost, margin, and performance metrics. Partner with engineering teams to instrument core systems and design low-latency analytical stores for real-time insights.

## Job description

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.

About this 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. This role sits at the intersection of software engineering and data engineering. You'll partner closely with Infra to safely instrument core systems, design a low-latency analytical write path, and stand up the ingestion pipelines that unlock cost, margin, and infrastructure analytics for the entire company. You will be a force multiplier - freeing up product engineers and infra to focus on what they do best while giving the data team the foundations it needs to move fast.

## What you'll do

- Instrument fal's core infrastructure to capture CPU, GPU, and request-level signals, working alongside our infra team to land changes safely in critical paths.
- Build ingestion pipelines from partner APIs, compute vendors, and internal services into BigQuery and a new low-latency analytical store (e.g., ClickHouse).
- Design and operate the ETL backbone that powers cost, margin, and usage analytics with durable, observable pipelines.
- Stand up a lightweight, low-latency write path that the data team and product engineers can target directly for analytics-grade telemetry.
- Partner with infra, data and product engineering to define data contracts and instrumentation standards, and act as the connective tissue between operational systems and the analytics layer.

## Qualifications/Nice to haves

- 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.
- Experience instrumenting GPU/accelerator workloads or other infrastructure-cost-heavy systems.
- Exposure to FinOps or infrastructure cost modeling at a cloud-native company.
- Experience with developer-facing API products or platforms.
- Early-stage or fast-scaling startup experience.

## What we offer at fal

- Interesting and challenging work
- A lot of learning and growth opportunities
- We are currently hiring in downtown San Francisco.
- We offer relocation assistance to San Francisco.
- Health, dental, and vision insurance (US)
- Regular team events and offsites

## Compensation

- $180,000 – $225,000 OTE + equity + comprehensive benefits

## U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:

fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

## About fal

## Company Overview
- **One-liner**: fal provides a serverless generative media platform for developers, enabling lightning-fast inference for image, video, audio, and 3D AI models.
- **Entity Type**: Private (Series D)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2021
- **Founders**: Burkay Gur, Gorkem Yurtseven

## Core Business
- **Industry**: Technology, Information, and Internet (Generative AI Infrastructure)
- **Target Customers**: B2B — developers, enterprises, and research labs building generative AI applications.
- **Mission**: Build the world’s first generative media platform for developers, enabling real-time AI content creation at scale.

## Products & Services
- **fal Inference Engine™**: A globally distributed serverless runtime optimized for large ML models on thousands of GPUs (H100, H200, B200). Up to 10x faster than alternatives, with 99.99% uptime and no cold starts.
- **Model Gallery**: A library of 1,000+ production-ready generative media models (image, video, audio, 3D) accessible via a unified API and SDKs.
- **Dedicated Compute Clusters**: On-demand or reserved GPU clusters for fine-tuning, training, or running custom models, with access to 1000s of Blackwell GPUs.
- **fal Compute**: Hourly GPU pricing for dedicated VMs, starting at $1.89/hr for high-end hardware.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (most recent round: $140M Series D)
- **Key Metric**: $140M Series D raised
- **Total Funding**: At least $163M across rounds (Pre-Seed $9M, Series A $14M, Series D $140M)
- **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz (a16z), Bessemer Venture Partners, Kleiner Perkins, NVIDIA
- **Growth Signals**:
    - Headcount grew 246% year-over-year to ~84 employees
    - Trusted by 1.5M+ developers and leading enterprises
    - Powers AI features for public companies and hypergrowth startups
    - SOC 2 compliant and enterprise-ready

## Competitive Advantages
- **Serverless, globally distributed inference engine** purpose-built for generative media, eliminating GPU configuration and cold starts.
- **Massive scale**: Capable of handling 100M+ daily inference calls with enterprise-grade reliability.
- **Proprietary distributed data-feeding engine** and deep optimization for diffusion models.
- **Deep ecosystem**: 1,000+ pre-integrated models and strong partnerships with NVIDIA and top-tier VCs.
- **Developer-first experience**: Unified API, SDKs, and per-output pricing model reduce barriers to deployment.

## Strategic Focus
- **Global infrastructure scaling**: Expanding GPU fleet across regions to meet accelerating demand for generative media.
- **Enterprise adoption**: Strengthening compliance (SOC 2, SSO), private endpoints, and dedicated support for large customers.
- **Generative Media Fund**: Investing in the next generation of companies building in the space.
- **Talent acquisition**: Aggressively hiring across engineering, go-to-market, and operations to keep pace with growth.

## Why Work Here
- **Engineering culture**: Fast-paced, high-agency environment focused on infrastructure and ML performance. Teams own critical systems from day one.
- **Work model**: Primarily in-person at downtown San Francisco office. Remote opportunities available for exceptional candidates.
- **Visa sponsorship**: Offered with relocation support to San Francisco.
- **Benefits**: Competitive salary and equity, health/dental/vision insurance, regular team events and offsites.
- **Growth trajectory**: Company is scaling rapidly (headcount +246% YoY) with ambitious goals to 1000x usage, offering significant career growth opportunities.
- **Impact**: Work on the foundational platform powering generative AI for millions of users and leading enterprises.

## Sources
1. [fal.ai](https://fal.ai/)
2. [fal Careers](https://fal.ai/careers)
3. [fal Blog - Series D Announcement](https://blog.fal.ai/our-series-d-scaling-fal/)
4. [LinkedIn - fal](https://www.linkedin.com/company/features-and-labels)
5. [Greenhouse Jobs Board](http://job-boards.greenhouse.io/fal)

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