About The Role

As a Forward Deployed Engineer on Notion's Services team, you will lead the hands on technical delivery of our most complex customer engagements. You will design, build, and deploy production ready solutions that help enterprise customers integrate Notion as the operating layer for their business.

You'll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion's automation and execution infrastructure, building data pipelines and resolving complex challenges around scale, permissions, and governance.

You'll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments.

This is a customer-facing engineering role for someone who is comfortable writing code, debugging technical issues, explaining tradeoffs to stakeholders, and turning ambiguous customer problems into scalable technical solutions. Your work will help shape best practices for how we support complex customer needs and ensure Notion's platform is ready for scale.

What You'll Achieve

• 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 directly with customer engineering, IT, security and business stakeholders to gather technical requirements, identify constraints, evaluate feasibility, and make sound architectural decisions that maximizes the value of Notion within their broader technical ecosystem.
• Troubleshoot complex implementation issues across APIs, integrations, automation logic, data quality, permissions, authentication, system limits, and customer specific environments.
• Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion's Product Roadmap and our Customers.
• Build reusable technical assets, including migration tooling, integration patterns, reference implementations, discovery frameworks, technical standards, scripts, and internal delivery tooling.
• Help define how Services delivers complex technical implementations at scale by improving methodologies, scoping artifacts, build patterns, technical documentation and engineering best practices.

Skills You'll Need to Bring

• 5+ years of experience in customer-facing or forward deployed engineering role or a similar hands-on technical role.
• 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.
• Ability to lead technical discovery with customers, assess feasibility, identify risks, scope technical work, estimate effort, and translate ambiguous requirements into an executable plan.
• Strong debugging and problem-solving skills, with the ability to isolate root causes across code, APIs, permissions, integrations and customer specific configuration.
• 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 outcomes for customers at scale.

Nice to Haves

• Experience working in professional services, preferably in a startup or high-growth environment.
• Experience deploying AI agents autonomously in complex coding or business workflows.
• Experience designing or implementing AI-powered workflows, including work with MCPs, APIs, LLM applications, prompt engineering, retrieval/RAG systems or workflow orchestration.
• Background in 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 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.

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $175,000 - $240,000 per year.

A Note on AI

You don't need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement - when that's the case, we'll say so explicitly in the qualifications. People who thrive here don't treat AI as a novelty. They use it to think better, and make their work easier for others to build on.