Easiest & most cost-effective way to use Gen AI. fal.ai is how devs integrate dozens of generative media models. FLUX, Kling, Hailuo +1000 more. Backed by Bessemer, Kleiner Perkins and Sequoia.
About the role
We’re looking for a technical Product Marketer to own go-to-market for fal’s infrastructure products, from Serverless for deploying and scaling custom AI models across thousands of GPUs, to Compute for training on large, interconnected GPU clusters. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Deep enough technical fluency to earn the trust of engineers and infrastructure buyers
- Strong understanding of concepts like GPU infrastructure, inference, latency, throughput, autoscaling, distributed workloads, model serving, and training
- Exceptional writing and storytelling. You can make complicated technology simple without making it simplistic
- Experience taking technical products to market and translating product differentiation into demand
- Comfortable moving between strategy and execution: from positioning a product to writing the launch page yourself
- Strong commercial instincts and a focus on adoption, pipeline, revenue, and measurable GTM outcomes
More about this role
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.
We’re looking for a technical Product Marketer to own go-to-market for fal’s infrastructure products, from Serverless for deploying and scaling custom AI models across thousands of GPUs, to Compute for training on large, interconnected GPU clusters.
This isn’t a role where you inherit a finished product and write messaging around it. You’ll sit at the intersection of product, engineering, sales, and marketing, shaping how we position our infrastructure, how we take it to market, and how GTM insights inform what we build...
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