---
title: 'Business Recruiter at fal'
canonical: 'https://feeny.ai/job/business-recruiter-fal-san-francisco-9c717kwfnkwg'
type: 'job'
last_seen: '2026-10-15'
---

# Business Recruiter at fal

- **Company:** fal
- **Location:** San Francisco, CA
- **Compensation:** $160k–$200k
- **Employment:** full-time
- **Posted:** 2026-09-30
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/fal-ai/149202a0-9264-47a2-97b1-785667ec70e6

## 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

You'll be the business partner and own searches end to end, from shaping the role with the hiring manager to sourcing, assessing, closing and handing off a great start. You'll move between technical and non-technical roles, so one week might be infrastructure engineers and the next might be finance, legal or GTM. fal is deliberately flat and moves extremely fast. We need someone who can take a search, decide how to win it and run with it.

## What you'll do

- Own searches end to end: intake, strategy, sourcing, screening, interview process, offer and close, across engineering, research, GTM, finance, legal and operations
- Advise the business: push back on role design, set realistic expectations with market data, and tell hiring managers what the talent market will and won't give them. Your read on candidates should shape hiring decisions
- Find the non-obvious people: go past the obvious LinkedIn searches to find strong candidates others overlook, like adjacent backgrounds, under-the-radar builders and people who aren't looking yet
- Source relentlessly: build pipelines through direct outreach, referrals, communities, events and AI sourcing tools. You write outreach people actually answer
- Close: share fal's story, understand what each candidate actually cares about, run comp conversations and get offers signed
- Raise the bar: help calibrate interview loops and screens so we hire for high agency and independent thinking, not just a strong résumé
- Build as you go: improve processes, templates and reporting in Ashby, and use AI tools to automate the repetitive parts of recruiting

## What we're looking for

Required:

- 5+ years of full-cycle recruiting, with meaningful time in-house at a high-growth startup
- A track record across both technical roles (engineering, infrastructure, ML) and non-technical roles (GTM, finance, legal, ops). You can go deep on a technical search and switch to a legal or finance search the same afternoon
- A strong sourcer. You can point to hires you found who weren't applying
- A trusted advisor to senior leaders. You're comfortable disagreeing with a hiring manager and bringing data to back it up
- Strong closer, comfortable owning offer and comp conversations
- High agency. You can run a search without anyone managing you and you don't wait for direction
- Genuinely excited about AI and generative media, and wants to help build the company shaping it

Preferred:

- Experience at an AI, infrastructure or developer-tools company
- Experience hiring early or first-of-kind roles where the profile has to be figured out
- Comfortable with Ashby, and with AI sourcing and automation tools

## 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)

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