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Salary: USD 160,000 - 200,000 / 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 own go-to-market strategy for fal's infrastructure products, including Serverless (for deploying and scaling custom AI models across thousands of GPUs) and Compute (for training on large, interconnected GPU clusters). This is a strategic role at the intersection of product, engineering, sales, and marketing—not a traditional marketing position where you inherit finished products.
Generative media is creating a new class of infrastructure workload: compute-intensive, latency-sensitive, highly variable, and operating at enormous scale. You'll help define this emerging category, shape positioning, and influence product decisions based on market and customer insights.
Key responsibilities:
- Own positioning, messaging, and GTM strategy for Serverless, Compute, and future infrastructure products
- Translate deeply technical capabilities into clear, compelling stories for developers and technical decision-makers
- Develop competitive positioning against inference platforms, GPU clouds, hyperscalers, and in-house infrastructure
- Partner closely with Product and Engineering, bringing market insights into roadmap decisions
- Build demand-generation programs that drive adoption, pipeline, and revenue
- Own SEO and AEO strategy for infrastructure, capturing developers searching for inference, training, and compute solutions
- Create technical blogs, benchmarks, product launches, solution pages, architecture explainers, demos, and sales enablement materials
- Develop case studies and technical proof points with customers
- Identify compelling narratives within engineering work and translate them into market-memorable stories
Qualifications:
- Deep technical fluency sufficient to earn trust of engineers and infrastructure buyers
- Strong understanding of GPU infrastructure, inference, latency, throughput, autoscaling, distributed workloads, model serving, and training
- Exceptional writing and storytelling ability; can make complex technology simple without oversimplifying
- Proven experience taking technical products to market and translating product differentiation into demand
- Comfort moving between strategy and execution (from positioning to writing launch pages)
- Strong commercial instincts with focus on adoption, pipeline, revenue, and measurable GTM outcomes
- High ownership and comfort in fast-moving environments where product and category are still being defined