Forward Deployed Architect (AI)

Location: Dublin, Ireland; office attendance required on Mondays, Tuesdays and Thursdays

Total on-target earnings: €106,000–€119,000 per year

Company

Notion provides a collaborative AI workspace for knowledge, projects, meetings, automation, and AI tools.

What you will do

• Lead customer engagements from discovery through launch, translating business goals and workflow requirements into scalable Notion solutions.
• Design workspace architectures covering workflows, permissions, governance, integrations, and AI use cases.
• Build and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities, and adjacent AI tools.
• Develop adoption plans, enablement materials, launch approaches, implementation plans, handoff materials, and success measures.
• Identify repeatable engagement patterns and turn them into packaged solutions, templates, reference architectures, runbooks, and enablement assets.
• Partner with customers, Forward Deployed Engineering, GTM, Product, Engineering, PMM, Services leadership, and the partner ecosystem.

Requirements

• 5+ years of experience in tech services, consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role.
• Ability to translate ambiguous customer goals into workflows, implementation plans, solution architectures, and measurable success criteria.
• Hands-on experience using AI tools to design, prototype, automate, or improve business workflows.
• Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows, and implementation tradeoffs.
• Experience delivering implementations that drive adoption, change management, and long-term customer value.
• Strong project and engagement management, communication, executive presence, and customer judgment.

Nice to have

• Experience designing or deploying agents, automations, or AI-powered customer workflows.
• Experience with Notion, APIs, MCPs, Workers, coding agents, or developer platform workflows.
• Experience creating discovery methodologies, reusable delivery assets, internal tooling, packaged services, or reference architectures.
• Experience partnering with Product and Engineering to turn field learnings into scalable product improvements.
• Previous experience in a fast-paced, high-growth technology environment.

Culture & Benefits

• Competitive cash compensation, equity, and benefits.
• In-person collaboration on designated Anchor Days.
• Focus on craft, durable products, intellectual curiosity, tinkering, and practical use of AI.
• Equal opportunity employment and reasonable accommodations during the application process.