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Fal

NLP-based sentiment & anomaly detection

Senior Software Engineer - Data Platform

Data EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of experience as a software or data engineer, with a software-engineering-heavy track record using Python, Go, or similar.
  • Demonstrated ability to ship code safely into critical production infrastructure, including familiarity with database performance, query patterns, and incident risk.
  • Hands-on experience building ingestion pipelines into a warehouse such as BigQuery, Snowflake, or Redshift, and at least one low-latency analytical store such as ClickHouse, Druid, or Pinot.
  • Strong SQL and working proficiency in dbt and orchestration tooling such as Dagster, Airflow, or Prefect.
  • Experience partnering across infrastructure, product engineering, and data teams and translating business questions into durable systems.

Responsibilities

  • Instrument fal's core infrastructure to capture CPU, GPU, and request-level signals, working alongside the infrastructure 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 such as 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 infrastructure, data, and product engineering to define data contracts and instrumentation standards, and connect operational systems with the analytics layer.

Desired Qualifications

  • Experience instrumenting GPU or 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.

About the Company

Fal

NLP-based sentiment & anomaly detection

Fal.ai enables data-driven businesses to improve analytics using natural language processing and machine learning, focusing on sentiment analysis and anomaly detection within dbt data models. It analyzes text such as customer reviews, support tickets, and surveys to classify sentiment (positive, negative, neutral) and spots unusual patterns in data transformations. The service integrates with existing data infrastructure that uses dbt models and is sold through tiered subscriptions that include basic sentiment analysis, advanced anomaly detection, and premium support. Its goal is to help organizations make informed decisions and improve customer satisfaction by delivering continuous analytics enablement and actionable insights.

Company size
201-500
Company stage
Late Stage VC
Total funding
$2.2B
Headquarters
Seattle, WA
Founded
2021

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