Product Marketer, Infrastructure

fal

San Francisco (CA)

On-site

USD 160,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Visa sponsorship and relocation to San
Health, dental, and vision insurance (

Job summary

fal is seeking a technical Product Marketer to own go-to-market for our infrastructure products, from Serverless for deploying AI models to Compute on large GPU clusters. You’ll sit at the intersection of product, engineering, sales, and marketing, shaping how we position our infrastructure and take it to market.

This role requires deep technical fluency, exceptional writing, and a bias for execution as fal defines and grows a new category in generative media infrastructure.

Qualifications

  • Deep technical fluency to earn engineers' trust.
  • Strong GPU infra knowledge including inference, latency, throughput.
  • Exceptional writing and storytelling; simplify complex tech.
  • Experience taking technical products to market and driving demand.
  • Ability to move from strategy to execution, including launch pages.
  • Strong commercial instincts aligned to adoption, pipeline, and revenue.
  • High ownership in a fast-moving, undefined product category.

Responsibilities

  • Own positioning, messaging, and GTM for Serverless, Compute, and future infra products.
  • Turn technical capabilities into clear stories for developers and tech decision-makers.
  • Develop competitive positioning across inference platforms, GPU clouds, hyperscalers, and in-house infra.
  • Partner with Product and Engineering to feed roadmap with market insights.
  • Build demand-gen programs to drive adoption, pipeline, revenue.
  • Own SEO and AEO strategy for infrastructure, targeting developers searching for inference, training, compute solutions.
  • Create technical blogs, benchmarks, launches, solution pages, architecture explainers, demos, and sales enablement.
  • Work with customers to develop compelling case studies and proof points.
  • Turn engineering stories into memorable market narratives.

Skills

Technical fluency
GPU infrastructure knowledge
Latency & throughput
Autoscaling
Distributed workloads
Model serving & training
Exceptional writing
Demand generation
Launch page writing
GTM strategy
Market storytelling
Ownership & accountability

Job description

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.

About this 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.

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 next.

Generative media is creating a new class of infrastructure workload: compute-intensive, latency-sensitive, highly variable, and operating at enormous scale.

The infrastructure for it is still being built. You’ll help define the category, tell the story, and shape the products behind it.

What you’ll do
  • Own positioning, messaging, and GTM strategy for Serverless, Compute, and future infrastructure products

  • Turn deeply technical capabilities into clear, compelling stories for developers and technical decision-makers

  • Develop our competitive positioning across inference platforms, GPU clouds, hyperscalers, and in-house infrastructure

  • Partner closely with Product and Engineering, bringing market and customer insight into roadmap and product decisions

  • Build demand-gen programs that drive product adoption, pipeline, and revenue

  • Own SEO and AEO strategy for infrastructure, capturing developers actively searching for inference, training, and compute solutions

  • Create technical blogs, benchmarks, product launches, solution pages, architecture explainers, demos, and sales enablement

  • Work with customers to develop compelling case studies and technical proof points

  • Find the best stories inside our engineering work and turn them into narratives the market remembers

Qualifications/Nice-to-haves
  • 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

  • High ownership and comfort operating in a fast-moving environment where the product and category are still being defined

What we offer at fal
  • Interesting and challenging work

  • A lot of learning and growth opportunities

  • We offer visa sponsorship and will help you relocate to San Francisco.

  • Health, dental, and vision insurance (US)

  • Regular team events and offsites

Compensation
  • $160,000 - $200,000 + equity + comprehensive benefits package

U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:

fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

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