Forward Deployed Engineer, GTM

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 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.
• Design and build customer integrations, automations, and custom tooling as part of Notion implementations.
• Design and operate feedback loops with Product, CX, and Engineering, translating real-world challenges into actionable insights and tooling improvements.
• Build foundational discovery frameworks, technical standards, and internal tooling for complex migrations and implementations.
• Contribute to the evolution of the Services team by developing repeatable methodologies, scoping artifacts, and best practices.

Requirements

• 4+ years of experience in a customer-facing engineering role, forward deployed engineering, or similar, preferably in SaaS or enterprise software.
• Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code.
• Hands-on experience with APIs and data integration.
• Strong written and verbal communication skills for technical and business audiences.
• Track record of delivering customer value by translating technical challenges into scalable solutions.

Nice-to-Haves

• Experience in SaaS professional services, preferably in a startup or high-growth environment.
• Experience deploying AI agents in complex workflows.
• Background in developing technical frameworks, discovery methodologies, or internal tooling.
• Strong collaboration with product and engineering teams, influencing roadmaps.
• Experience supporting pre-sales, including technical discovery, scoping, and prototyping.

Compensation

• For roles based in San Francisco or New York City, estimated total on-target earnings (base salary + incentive pay): $175,000 - $240,000 per year.