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Fal

NLP-based sentiment & anomaly detection

Technical Content Marketing: Infrastructure

Technical WritingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Demonstrate exceptional technical writing ability and explain complex systems clearly without oversimplifying them.
  • Have a strong understanding of cloud infrastructure, AI/ML infrastructure, developer tools, or adjacent technical products.
  • Be comfortable discussing GPUs, inference, distributed systems, APIs, model serving, and performance with engineers.
  • Be able to independently research technical subjects, ask relevant questions, and turn engineering knowledge into polished content.
  • Maintain technical accuracy and effective storytelling.
  • Have experience writing for developers and technical decision-makers.
  • Understand SEO/AEO and content distribution.
  • Be comfortable moving quickly and publishing frequently in a fast-changing technical environment.

Responsibilities

  • Write technical blogs, landing pages, guides, tutorials, solution pages, and product launch content for Serverless and Compute.
  • Work directly with engineers to uncover technical stories and turn them into clear, compelling content.
  • Explain inference performance, GPU infrastructure, autoscaling, distributed workloads, model serving, training, latency, and throughput.
  • Develop technical deep dives and architecture content demonstrating how fal works under the hood.
  • Create benchmarks and competitive content communicating where fal performs differently.
  • Interview customers and turn their work into technical case studies and customer stories.
  • Support SEO and AEO by building authoritative content around infrastructure problems developers are searching for.
  • Translate product launches and engineering breakthroughs into narratives that resonate beyond the engineering team.
  • Build and maintain a consistent technical voice for fal across the website, blog, and other developer-facing channels.
  • Work with Product Marketing to identify stories and topics that will drive awareness, adoption, and demand.

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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