---
title: 'Senior Solutions Architect at fal'
canonical: 'https://feeny.ai/job/senior-solutions-architect-fal-san-francisco-x2f4nwnwfwnc'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Solutions Architect at fal

- **Company:** fal
- **Location:** San Francisco, CA
- **Compensation:** $220k–$290k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/fal-ai/1335e173-09c5-4d07-84da-694c7ca0f783

## 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.

fal – Features & Labels, Inc. seeks a Senior Solutions Architect (multiple openings) for its San Francisco, CA office. (Domestic and international travel required for up to 25-35 percent of time) Job Duties: Engage with prospective and existing clients to assess their technical needs and recommend appropriate models and services. Prepare and deliver presentations explaining technical products to existing and prospective customers. Collaborate with engineering and product development teams to tailor solutions that meet specific client requirements. Plan and modify products or services to meet customer needs. Gather insights from clients to inform product development and identify opportunities for innovation. Recommend improved products or services to customers, showing how changes will lower costs or increase production. Serve as the lead technical advisor to enterprise customers and strategic AI model providers, translating complex business requirements into scalable solution architectures on the [fal.ai](http://fal.ai) platform. Cultivate and maintain deep technical relationships with Chinese AI model providers and technology companies, acting as the primary technical point of contact for these partnerships. Design, prototype, and validate reference architectures and integration patterns that accelerate customer time-to-value and drive platform adoption. Collaborate with cross-functional teams—including Product, Engineering, Sales, and Business Development—to define go-to-market strategies for partner and customer engagements. Provide strategic technical guidance during pre-sales and post-sales cycles, including discovery sessions, proof-of-concept development, and production deployment planning. Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Represent [fal.ai](http://fal.ai) as a technical thought leader at industry conferences, partner events, customer workshops, and developer meetups—including events in Greater China. Gather, synthesize, and deliver product feedback from customers and partners to internal teams to inform the product roadmap and partner strategy. Develop and maintain technical documentation, best-practice guides, and enablement materials for both internal teams and external partners. Stay current with emerging trends in generative AI, large language models, diffusion models, and cloud-native infrastructure to inform solution design and strategic recommendations.

Job Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Industrial Engineering, or a closely related technical field and 10 years of progressive, post-baccalaureate experience in a technical customer-facing or partner-facing role such as a Solutions Architect, Solution Engineer, Sales Engineer, Software Consultant, Senior Application Engineer or related occupation. Experience must include:

- 10 years of experience managing full sales cycle technical engagements, including leading discovery sessions, developing proofs of concept, supporting RFP/RFI responses, and guiding customers through production deployment and future roadmap planning and production support.
- 10 years of experience designing, optimizing, and troubleshooting cloud computing and private datacenter computing infrastructure (AWS, GCP, Azure, or VMware), containerization, microservices architectures, and API.
- 8 years of experience with post-sales technical engagement, including architecting and delivering complex, scalable, and secure enterprise solutions across diverse industries.
- 7 years of experience delivering technical presentations and customer-facing sales engagements to C-suite executives, engineering teams, and IT organizations, specifically focused on AI inference engines, infrastructure performance optimization, and algorithm processing speed improvements across production environments.
- 6 years of experience designing scalable cloud architectures and integrating with enterprise systems across multi-cloud or hybrid environments.
- 5 years of experience deploying and integrating software solutions within the Chinese technology ecosystem (e.g., Alibaba Cloud, Tencent, Baidu, ByteDance, or emerging Chinese AI startups), Chinese technology companies, Chinese AI labs, or Chinese model providers.
- 5 years of experience coding for inference with modern scripting languages (Python and SQL) to help partners and customers deploy their AI models or algorithms on cloud infrastructure.
- 5 years of experience collaborating with Global and Regional System Integrators (GSIs/RSIs) and leading cloud providers to design and implement solutions for complex technical challenges, including the deployment of AI/ML algorithms and the scaling of cloud-based infrastructure.
- 3 years of experience tailoring AI models to customer specifications, including generative AI models (LLMs, diffusion models, or multimodal models), inference optimization, MLOps practices, and GPU infrastructure.
- Professional proficiency in Mandarin Chinese (spoken and written).

Experience may be gained concurrently. Foreign equivalent degrees are acceptable.

Salary: $220,000-$290,000 per year

## 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
- [Product Storyteller](https://feeny.ai/job/product-storyteller-fal-san-francisco-hc3h74xg3nvx) — 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