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Salary: USD 150,000 - 180,000 / annual
Fal is a generative media infrastructure platform that provides developers and enterprises with high-performance inference, orchestration, and observability tools to move AI products from idea to production at scale.
You will be an in-house Technical Writer responsible for telling the story of fal's infrastructure—specifically Serverless (for deploying and scaling custom AI models across thousands of GPUs) and Compute (for training on large, interconnected GPU clusters). Working closely with Marketing, Product, and Engineering teams, you'll transform complex technical work into compelling content that resonates with developers and technical decision-makers.
Key responsibilities include:
- Write technical blogs, landing pages, guides, tutorials, solution pages, and product launch content for Serverless and Compute offerings
- Work directly with engineers to uncover interesting technical stories and translate them into clear, compelling narratives
- Explain complex topics including inference performance, GPU infrastructure, autoscaling, distributed workloads, model serving, training, latency, and throughput
- Develop technical deep dives and architecture content that demonstrates how fal works under the hood
- Create benchmarks and competitive content that clearly communicates fal's performance differentiation
- Interview customers and develop technical case studies and customer stories
- Support SEO and AEO by building authoritative content around infrastructure problems developers search for
- Translate product launches and engineering breakthroughs into narratives that extend beyond the engineering team
- Build and maintain a consistent technical voice for fal across the website, blog, and developer-facing channels
- Collaborate with Product Marketing to identify stories and topics that drive awareness, adoption, and demand
Requirements:
- Exceptional technical writing ability with the capacity to make complex systems clear without oversimplification
- Strong understanding of cloud infrastructure, AI/ML infrastructure, developer tools, or adjacent technical products
- Comfort discussing with engineers about GPUs, inference, distributed systems, APIs, model serving, and performance metrics
- Ability to independently research technical subjects, ask clarifying questions, and translate engineering knowledge into polished content
- Strong instincts for both technical accuracy and compelling storytelling
- Experience writing for developers and technical decision-makers
- Understanding of SEO/AEO and content distribution strategy
- Ability to move quickly and publish frequently in a fast-changing technical environment
