At Webflow, our mission is to bring development superpowers to everyone. As the pioneer of the Website Experience Platform (WXP), we’re redefining how teams Build, Manage, and Optimize for the web — combining visual development, powerful content management systems, AI-driven personalization, seamless hosting, and end-to-end analytics in a single, unified platform. With AI at the core, Webflow helps teams move faster, create more performant digital experiences, and scale without heavy engineering support. From independent designers and creative agencies to global enterprises, hundreds of thousands of organizations use Webflow to turn ideas into reality — and to power what’s possible on the web.

We’re searching for a Senior GTM Engineer, AI Platforms to operate as an embedded technical partner within the RevOps team (Sales Ops, Customer Success Ops, Marketing Ops, Partner Ops, and Revenue Enablement). This role sits at the center of our Revenue Organization, and will help shape the internal AI foundations and AI workflows across the customer journey. Your work will span prototyping and experimentation to integration and automation in production environments. You will also design, implement, and scale key initiatives on our internal AI GTM Roadmap. 

If you’re a builder at heart – someone who codes, thinks in APIs, and prototypes with Agents while understanding the realities of enterprise GTM complexity – this role is for you.

About the role:

• Location: Remote-first (United States)
• Full-time
• Permanent
• Exempt
• The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
  
  • United States  (all figures cited below are in USD and pertain to workers in the United States)
    • Zone A:  $131,500 - $181,000
    • Zone B:  $125,000 - $172,000
    • Zone C:  $118,00 - $163,000
  • Canada  (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
    
    • $148,500 - $205,400
• Reporting to the Senior Manager, GTM Strategy Operations

As a Senior GTM Engineer, AI Platforms you’ll … 

• Build Custom LLM Automations & Agents for GTM: Design, build, and ship custom LLM/GPT apps that speed up GTM workflows.
• Architect AI System Integrations: Stand up scalable tooling infrastructure that connects AI platforms (currently:,., OpenAI, Gemini, Google Gemini, Glean, NotebookLM, AWS Bedrock, Zapier, Workato, GCP, Pinecone, and more...) to core tools like Salesforce, Clay, Gong, and Outreach.
• Translate GTM Pain Into AI Workflows: Work across teams to map real GTM problems into intelligent, AI-backed automations – balance user experience, scalability, and business impact.
• Own Full-Stack AI Builds: From prototyping with APIs & webhooks to internal cloud function deployment – own the full build cycle and make systems talk to each other.
• Document & Enable AI Tools: Create docs, guides, and demos that help both technical and non-technical folks adopt, trust, and troubleshoot your builds.
• Run AI Experiments at Scale: Lead hands-on R&D with context engineering, varying RAG inputs, lightweight model tuning, and multimodal tools to find creative solutions to big GTM challenges.
• Drive Ethical AI Practices: Track usage, flag risks, and support responsible evaluation as AI becomes embedded in more of our GTM stack.

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you:

Requirements:

• BA/BS degree or equivalent experience

You’ll thrive as a Senior GTM Engineer, AI Platforms if you:

• Bring 4–6+ years of hands-on experience in a technical GTM, Revenue Operations, or Automation Engineering role, and must have supported Sales, Customer Success, and Partner teams within a SaaS environment.
• Align AI with business impact: You design AI solutions that directly serve Revenue goals — knowing what matters to Sales, CS, and Marketing, and building with those outcomes in mind.
• Have an advanced AI foundation: You’re fluent in LLMs (and their APIs), vector databases, advanced context engineering,