Forward Deployed Engineer, GTM

About the role

As a Forward Deployed Engineer within Go-To-Market, you will lead complex customer engineering engagements from end to end, spanning large-scale migrations, integrating Notion with third party systems and tools, and production AI/agentic deployments. You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments.

Responsibilities

• Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation.
• Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion.
• Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows.
• Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization.
• Work closely with client stakeholders to gather business and technical requirements and translate them into well-architected solutions that maximize the value of the Notion platform within their broader technical ecosystem.
• Design and build customer integrations, automations, and custom tooling as a part of Notion implementations.
• Build foundational discovery frameworks, technical standards, and internal tooling that define how Services delivers complex migrations and implementations at scale.
• Contribute to the evolution of the Services team by developing repeatable methodologies, scoping artifacts, internal tooling, and contributing best practices as the team and customer footprint grow.

Requirements

• 4+ years of experience in a customer-facing engineering role, forward deployed engineering, or similar role, preferably in a SaaS or enterprise software environment.
• Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts.
• Hands-on experience with APIs and data integration.
• Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively.
• A track record of delivering customer value by translating technical challenges into solutions that drive value for customers at scale.

Qualifications

• Nice to have:
• Experience working in SaaS professional services, preferably in a startup or high-growth environment.
• Experience deploying AI agents autonomously in complex coding or business workflows.
• Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up.
• Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions.
• Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches.
• Strong track record of successful enterprise customer implementations.