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fal

Technical Support Engineer

Reposted 11 Days Ago
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The Technical Support Engineer resolves technical issues for customers, supports integration with APIs, manages tickets, and documents solutions. They collaborate with engineering to improve products and must possess strong problem-solving, communication, and technical writing skills.
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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 the Role

fal is seeking a highly skilled Technical Support Engineer to provide high-quality support and service to our Customer base and Internal teams. You will play a critical role in providing advanced support directly to our Customers, and collaborating with engineering and Sales teams to enhance our products and services.

Key Responsibilities

  • Resolve technical issues and provide advanced support directly to customers, including support for fal’s platform (APIs, UI issues, and troubleshooting errors).
  • Support users across multiple products via email, chat, and Slack.
  • Troubleshoot integration issues, including authentication problems (OAuth, API keys), HTTP errors, malformed requests, rate limits, and API misconfigurations.
  • Analyze API logs, error messages, and request/response payloads to identify root causes.
  • Manage support tickets by responding within SLA timeframes, escalating complex issues appropriately, and maintaining detailed case records.
  • Reproduce, escalate, and document bugs or edge cases in collaboration with engineering.
  • Provide structured feedback to engineering teams regarding platform reliability, performance bottlenecks, and customer-reported issues, serving as an internal advocate for customer pain points and product improvement.
  • Assist with testing and validation of new features, releases, and infrastructure changes before production deployment.
  • Write and maintain technical content, including use case guides, how-to examples, FAQs, solutions for common errors, and documentation of issues and resolutions for the knowledge base.
  • Improve developer documentation to make integration as self-serve as possible.

What You Bring

  • Strong analytical thinking, technical problem-solving skills, and a systematic approach to troubleshooting technical issues across web platforms, cloud environments, and enterprise software.
  • Experience supporting and troubleshooting REST APIs and backend services, including working directly with REST APIs and authentication flows (OAuth2, API keys).
  • Experience using monitoring, logging, and observability tools to support production systems.
  • Familiarity with AI platforms, machine learning systems, or data-intensive applications.
  • Excellent written and verbal communication and interpersonal skills, with the ability to clearly and empathetically explain complex technical concepts to both technical and non-technical stakeholders/users in English.
  • Experience providing technical support with a customer-first mindset, demonstrating patience, empathy, and a focus on user success.
  • Strong technical writing abilities with experience creating and maintaining user guides, FAQs, and troubleshooting documentation.
  • Demonstrated ability to prioritize effectively, respond quickly to critical issues with a sense of urgency, and maintain composure under pressure.
  • Ability to work independently and collaboratively, handling multiple concurrent support cases while maintaining quality and meeting response time commitments.
  • Self-starter who can identify process improvements and proactively address recurring issues (Initiative).
  • Familiarity with tools such as Slack, Linear, Notion, and GitHub.
  • Familiarity with authentication protocols like REST APIs, OAuth2, JWT, and API key auth.
Why fal

At fal, you’ll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption while building deep relationships with customers who are transforming their industries through intelligent technology.

What we offer at fal
  • Interesting and challenging work
  • Competitive salary and equity
  • A lot of learning and growth opportunities
  • Regular team events and offsites

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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