Forward Deployed Engineer, GTM, AMER

About the Role

As a Forward Deployed Engineer on Notion's Services team, you will lead hands-on technical delivery for enterprise customer engagements, designing and deploying production-ready solutions that integrate Notion as an operating layer across customers' technical and operational environments. You'll embed with customers to build custom integrations, AI agents, data pipelines, and automations while troubleshooting complex implementation challenges and translating real-world problems into product improvements.

Responsibilities

• Own end-to-end technical delivery of customer engagements, including discovery, requirements gathering, solution design, and implementation
• Act as a trusted technical advisor, helping customers make informed architectural decisions and identify expansion opportunities for Notion
• Design, build, and operate custom agents, integrations, automations, and data pipelines using Notion's APIs, MCP, Agent APIs, and automation infrastructure
• Lead large-scale content and data migrations, including data modeling, transformation logic, validation, and post-migration optimization
• Work directly with customer engineering, IT, security, and business stakeholders to gather requirements, identify constraints, and make sound architectural decisions
• Troubleshoot complex implementation issues across APIs, integrations, automation logic, data quality, permissions, authentication, and system limits
• Design feedback loops with Product and Engineering, translating implementation challenges into actionable insights and technical requirements that influence the product roadmap
• Build reusable technical assets including migration tooling, integration patterns, reference implementations, scripts, and internal delivery tools
• Help define scalable methodologies for complex technical implementations by improving scoping artifacts, build patterns, documentation, and engineering best practices

Requirements

• 5+ years of experience in a customer-facing, forward deployed engineering, or similar hands-on technical role
• Proficiency in at least one programming language (Java, JavaScript, Node.js, SQL, or Python) with ability to write production-quality code
• Hands-on experience with APIs and data integration
• Ability to lead technical discovery with customers, assess feasibility, identify risks, scope work, and estimate effort
• Strong debugging and problem-solving skills across code, APIs, permissions, integrations, and customer-specific configurations
• Strong written and verbal communication skills, with ability to engage both technical and business audiences
• Proven track record of delivering customer value at scale

Nice to Haves

• Experience in professional services, preferably in a startup or high-growth environment
• Experience deploying AI agents in complex coding or business workflows
• Experience designing or implementing AI-powered workflows, including MCPs, LLM applications, prompt engineering, RAG systems, or workflow orchestration
• Background developing technical frameworks, discovery methodologies, or internal tooling from the ground up
• Experience with ETL/ELT workflows, data transformation, schema mapping, validation scripts, or large-scale content migration tooling
• Strong history of collaboration with product and engineering teams, including roadmap influence
• Experience supporting pre-sales and early engagement phases including technical discovery, migration scoping, and prototyping
• Strong track record of successful enterprise customer implementations

Benefits

• Competitive cash compensation and equity
• For roles based in San Francisco or New York City: estimated total on-target earnings of $175,000 - $240,000 per year (base salary plus on-target incentive pay)
• Compensation varies based on location, role scope, candidate experience, and expertise