--- title: 'Product Storyteller at fal' canonical: 'https://feeny.ai/job/product-storyteller-fal-san-francisco-hc3h74xg3nvx' type: 'job' last_seen: '2026-09-10' --- # Product Storyteller at fal - **Company:** fal - **Location:** San Francisco, CA - **Compensation:** $160k–$200k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-17 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/fal-ai/3117b0cf-797e-4f24-8ea8-eeffaa834f4e ## 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. ## The role Every product we ship has a story that starts long before the launch post and keeps running long after. Today those stories get told in bursts: a launch, a demo, a thread. We believe our storytelling should be more holistic, encapsulating an entire product business area, and overarchingly strategic. You will own the evergreen corner of product storytelling at fal: the full arc from "we're thinking about building this" through launch and beyond, to ensure stories keep compounding to keep a product alive and relevant. This role is a blend that is newly evolving in the age of AI (part product marketer, part creative engineer, part evangelist). You write and create assets, but you also build. You can read create technical docs, become a product expert, then explain to an enterprise buyer why it matters, without borrowing an engineer's afternoon to do it. ## What you'll own The product narrative strategy, end to end. Every product line and every model family on the platform has a story: what it unlocks, who it's for, what people are making with it, and what someone should do next. You're accountable for that story existing, being current, and being consistent everywhere it shows up. You're in the room before a launch is scoped and still on it a year later. Demos and tutorials. You build them. Working code, real outputs, reproducible. These get used across nurture sequences, sales conversations, docs, and events. These are sometimes generic, sometimes built for a single named account. The site's product surface. Industry pages (you'll create them from scratch), product pages, use-case pages, and every addition to what already exists. You'll decide what needs to exist, propose innovative campaigns to amplify a product’s existence. Terminology and messaging architecture. You are the final word on how we name and describe what we've built across product, site, docs, and sales collateral. To be clear: this is not a UX copy queue. An LLM can draft microcopy. What it can't do is hold the whole system in its head, catch the place where we've called the same thing three different names, and decide which one wins. Amplification of other teams' work. Design ships something beautiful, Eng ships something fast, Product ships something nobody outside the company understands yet. You find those moments and turn them into stories that reach people. Where you sit Within fal’s innovative Storytelling function, between Design, Product, Marketing, GTM, and Engineering servicing all functions. You'll spend your week pulling context from every one of those teams and converting it into artifacts. The work is measured heavily against enterprise and commercial conversion: this is a revenue-facing storytelling role, as well as a brand-awareness one. You're probably a fit if you - Have shipped product marketing or developer-facing content for a technical product, and can point to work that moved pipeline. - Edit cleanly and quickly, and can hold a sharp point of view about words. - Are technically proficient enough to work independently: comfortable in an API reference, a terminal, and a notebook; can build and debug your own demos. - Understand generative media: diffusion and video models, inference economics, why latency and throughput matter to a customer - Have a discernment level that holds up next to the work our Design team ships - Operate without a brief. This function is new. Much of the job is noticing what's missing and building it before anyone asks ## Nice to have - Experience selling to or marketing at enterprise creative teams, agencies, or studios - Frontend chops: you can put a demo behind a real interface What this isn't - A launch-comms or copywriter role. - A pure writing role. If you don't want to build, this will frustrate you. ## 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. ## About fal ## Company Overview - **One-liner**: fal provides a serverless generative media platform for developers, enabling lightning-fast inference for image, video, audio, and 3D AI models. - **Entity Type**: Private (Series D) - **Headquarters**: San Francisco, California, USA - **Founded**: 2021 - **Founders**: Burkay Gur, Gorkem Yurtseven ## Core Business - **Industry**: Technology, Information, and Internet (Generative AI Infrastructure) - **Target Customers**: B2B — developers, enterprises, and research labs building generative AI applications. - **Mission**: Build the world’s first generative media platform for developers, enabling real-time AI content creation at scale. ## Products & Services - **fal Inference Engine™**: A globally distributed serverless runtime optimized for large ML models on thousands of GPUs (H100, H200, B200). Up to 10x faster than alternatives, with 99.99% uptime and no cold starts. - **Model Gallery**: A library of 1,000+ production-ready generative media models (image, video, audio, 3D) accessible via a unified API and SDKs. - **Dedicated Compute Clusters**: On-demand or reserved GPU clusters for fine-tuning, training, or running custom models, with access to 1000s of Blackwell GPUs. - **fal Compute**: Hourly GPU pricing for dedicated VMs, starting at $1.89/hr for high-end hardware. ## Market Standing - **Valuation/Market Cap**: Not disclosed (most recent round: $140M Series D) - **Key Metric**: $140M Series D raised - **Total Funding**: At least $163M across rounds (Pre-Seed $9M, Series A $14M, Series D $140M) - **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz (a16z), Bessemer Venture Partners, Kleiner Perkins, NVIDIA - **Growth Signals**: - Headcount grew 246% year-over-year to ~84 employees - Trusted by 1.5M+ developers and leading enterprises - Powers AI features for public companies and hypergrowth startups - SOC 2 compliant and enterprise-ready ## Competitive Advantages - **Serverless, globally distributed inference engine** purpose-built for generative media, eliminating GPU configuration and cold starts. - **Massive scale**: Capable of handling 100M+ daily inference calls with enterprise-grade reliability. - **Proprietary distributed data-feeding engine** and deep optimization for diffusion models. - **Deep ecosystem**: 1,000+ pre-integrated models and strong partnerships with NVIDIA and top-tier VCs. - **Developer-first experience**: Unified API, SDKs, and per-output pricing model reduce barriers to deployment. ## Strategic Focus - **Global infrastructure scaling**: Expanding GPU fleet across regions to meet accelerating demand for generative media. - **Enterprise adoption**: Strengthening compliance (SOC 2, SSO), private endpoints, and dedicated support for large customers. - **Generative Media Fund**: Investing in the next generation of companies building in the space. - **Talent acquisition**: Aggressively hiring across engineering, go-to-market, and operations to keep pace with growth. ## Why Work Here - **Engineering culture**: Fast-paced, high-agency environment focused on infrastructure and ML performance. Teams own critical systems from day one. - **Work model**: Primarily in-person at downtown San Francisco office. Remote opportunities available for exceptional candidates. - **Visa sponsorship**: Offered with relocation support to San Francisco. - **Benefits**: Competitive salary and equity, health/dental/vision insurance, regular team events and offsites. - **Growth trajectory**: Company is scaling rapidly (headcount +246% YoY) with ambitious goals to 1000x usage, offering significant career growth opportunities. - **Impact**: Work on the foundational platform powering generative AI for millions of users and leading enterprises. ## Sources 1. [fal.ai](https://fal.ai/) 2. [fal Careers](https://fal.ai/careers) 3. [fal Blog - Series D Announcement](https://blog.fal.ai/our-series-d-scaling-fal/) 4. [LinkedIn - fal](https://www.linkedin.com/company/features-and-labels) 5. [Greenhouse Jobs Board](http://job-boards.greenhouse.io/fal) ## Other roles at fal - [Community Growth](https://feeny.ai/job/community-growth-fal-san-francisco-kr7qer3t33f9) — San Francisco, CA - [Growth Marketer](https://feeny.ai/job/growth-marketer-fal-san-francisco-2h7dy10cz890) — San Francisco, CA - [Account Manager, Enterprise](https://feeny.ai/job/account-manager-enterprise-fal-san-francisco-wgmhm5avrwrg) — San Francisco, CA - [Program Manager, Global Mobility & Immigration](https://feeny.ai/job/program-manager-global-mobility-immigration-fal-san-francisco-hqkkbr85qv6v) — San Francisco, CA - [Founding GTM Recruiter](https://feeny.ai/job/founding-gtm-recruiter-fal-san-francisco-6xy1qg08tv1r) — San Francisco, CA - [Senior/Staff Software Engineer, Kubernetes Infrastructure](https://feeny.ai/job/senior-staff-software-engineer-kubernetes-infrastructure-fal-united-states-hx4cwfd1p5nz) — United States - [Senior/Staff Software Engineer, Network Infrastructure](https://feeny.ai/job/senior-staff-software-engineer-network-infrastructure-fal-united-states-s5jtc2a7y3yv) — United States - [Account Receivable Specialist](https://feeny.ai/job/account-receivable-specialist-fal-san-francisco-z3r3jtrmfna2) — San Francisco, CA - [GTM Operations Engineer](https://feeny.ai/job/gtm-operations-engineer-fal-san-francisco-917bk2d9xyh1) — San Francisco, CA - [Technical Program Manager, Infrastructure](https://feeny.ai/job/technical-program-manager-infrastructure-fal-san-francisco-8nvn041q9b9e) — San Francisco, CA