FORT Robotics Logo

FORT Robotics

Technical Product Content Lead

Posted 2 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
The role focuses on developing comprehensive product and release documentation, managing AI knowledge architecture, and ensuring accurate in-product guidance and API references. The candidate must have strong editorial judgment and technical understanding to enhance user documentation.
The summary above was generated by AI

In today's dynamic worksites, seamless collaboration between people and machines is essential. FORT's platform ensures safe, secure, and dynamic control that surpasses legacy systems and next-generation AI capabilities.

While autonomous machines offer significant advantages, they also introduce new safety challenges. FORT addresses these concerns by providing solutions such as the Wireless E-Stop, which allows operators to instantly stop any machine from a safe distance, enhancing safety during emergencies.

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely, reducing the risk of accidents and improving visibility.

By ensuring communications integrity across any network, FORT empowers customers to protect their most valuable assets—people, data, and machines—ensuring they remain safe and secure.

FORT is building a physical AI safety platform used by operators, integrators, and developers in real-world environments. The platform is growing fast, and the content layer has not kept pace. This role fixes that and then builds well ahead of it.

You will own everything from the foundational documentation that customers rely on today to the knowledge architecture that powers our AI Copilot as it ships. You will use AI heavily to work at speed and apply strong editorial judgment to make sure every output is accurate, clear, and useful.

What You Will Own

  • Product and release documentation: Release notes, upgrade guides, compatibility information, and operational content that customers and integrators depend on. The current state is a starting point, not the bar.
  • Copilot knowledge architecture: Structure and maintain the source of truth that feeds AI-generated answers. Own accuracy. Catch errors before users do.
  • In-product guidance: Contextual help, onboarding flows, and error states written to resolve questions without escalation.
  • Developer and integrator surface: API docs, hardware integration guides, and SDK references are clear enough that a new integrator reaches first success without opening a support ticket.
  • Content-as-signal: Track what users search for, escalate, and struggle with. Feed that back into content priorities and product decisions.
  • Voice and editorial standards: Define how FORT communicates technically and apply that standard consistently across every surface.

Who You Are

  • Obsessively clear: You write one sentence where others write three paragraphs. You know when to cut.
  • Creative before compliant: You reach for the format that works — a decision tree, a short video, an interactive guide — before defaulting to a numbered list.
  • AI-native: You use LLMs daily to draft, restructure, and pressure-test content. You know when to trust the output and when to rewrite it. Editorial judgment is the skill; prompting is just how you get there.
  • Technically grounded: You can sit with hardware and firmware engineers, understand what they are shipping, and translate it accurately. You do not need to be an engineer, but you cannot be allergic to the details.
  • Safety-conscious by instinct: FORT operates in physical environments where a wrong answer has consequences. You carry that standard without being reminded.

What Good Looks Like in Year One

  • Documentation is no longer a liability: Customers and integrators can find accurate, current information without opening a support ticket.
  • Copilot answers technical questions correctly: The AI Copilot handles common technical queries accurately. Support volume reflects it.
  • Content ships with the feature: In-product guidance and Copilot context are ready on launch day, not weeks after.
  • Content informs product decisions: You are in early design conversations, flagging where the experience will break down and where content will carry the load.

What You Bring

  • A portfolio that shows range: Docs, in-product copy, API references, video scripts, interactive guides. Something that shows you treat format as a deliberate choice.
  • Experience with technical platforms: Hardware, developer tools, industrial automation, or safety-critical systems. An understanding of what it means to get it wrong.
  • AI in your daily workflow: Not as an experiment. As a core part of how you work. You can describe your process.
  • Strong editorial instincts: You have pushed back on engineers who wanted to ship a spec dump instead of a clear explanation. You have examples.

Similar Jobs

33 Minutes Ago
Remote or Hybrid
286K-359K Annually
Expert/Leader
286K-359K Annually
Expert/Leader
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Distinguished Engineer at Capital One will define banking in the cloud, mentor talent, lead technical projects, and promote engineering excellence.
Top Skills: Cloud TechnologiesGoJavaJavaScriptPythonSwiftTypescript
39 Minutes Ago
Remote or Hybrid
California, USA
115K-222K Annually
Mid level
115K-222K Annually
Mid level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Dermatology Senior Health and Science Specialist manages business relationships, promotes products, and engages customer accounts, leveraging strong sales and product knowledge.
Top Skills: Digital ToolsMS OfficeMulti-PlatformsVeeva EngageZoom
40 Minutes Ago
In-Office or Remote
92K-164K Annually
Mid level
92K-164K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Care Management Manager oversees staff performance, process improvements, and collaboration across departments to enhance member outcomes in healthcare settings.
Top Skills: MS OfficeWindows

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account