Senior Solutions Engineer | East Coast - Remote

About the role

You will be the primary technical partner for our Enterprise sales engagements. You’ll work closely with Account Executives to guide prospects through technical discovery, product evaluations, and proofs of concept — helping them validate that n8n can operate securely, reliably, and at scale in their environment.

This is a customer-facing, hands-on role focused on complex Enterprise use cases. You will spend your time working directly with technical stakeholders, leading technical conversations, and ensuring Enterprise customers clearly understand how n8n fits into their systems and processes.

Responsibilities

• Lead Enterprise technical discovery, deep-dive calls, and tailored demos, showing how n8n fits into complex customer environments while addressing security, scalability, and reliability requirements
• Partner closely with Account Executives to assess technical fit, shape deal strategy, and handle technical objections, delivering demos grounded in real Enterprise workflows and use cases
• Own Enterprise POCs end-to-end, from scoping success criteria to hands-on technical guidance throughout the evaluation
• Help customers validate n8n in real-world conditions and capture POC learnings to improve qualification, conversion, and handoff to Solution Architecture/Customer Success
• Build strong relationships with IT, Security, Platform, and Engineering stakeholders, acting as the primary technical contact during Enterprise evaluations
• Clearly explain n8n’s approach to security, deployment, governance, and scale, helping customers plan adoption beyond their first use case
• Collaborate with Sales to improve Enterprise technical discovery, demos, and POC frameworks
• Provide structured feedback from Enterprise customers to Product and Engineering, and contribute to enablement materials that strengthen Enterprise sales motions

Requirements

• Must-have:
• 6+ years of experience in a technical pre-sales or Sales Engineering role, ideally within B2B SaaS, with direct exposure to enterprise customers
• Excellent Communication Skills: Clearly articulate complex technical concepts to both technical and non-technical audiences and confidently engage with enterprise stakeholders
• Commercial Acumen: Understand sales processes and can creatively translate customer requirements into scalable technical solutions
• Relationship Building: Excel at building and maintaining relationships with clients, particularly within infrastructure teams on deployment requirements
• Strong Technical Proficiency: Bring hands-on experience with API integrations, OAuth, and authentication/authorization concepts, JavaScript and/or Python for scripting, integrations, or demos, containerization and orchestration concepts (Docker, Kubernetes), CI/CD and DevOps practices, including integrating applications into CI/CD pipelines, networking fundamentals, security best practices, and observability concepts, cloud & infrastructure awareness (at least one major cloud platform), and exposure to ML infrastructure or AI-enabled automation platforms
• Nice-to-have:
• Hands-on experience or strong familiarity with AI/LLM platforms, including concepts such as LLMs, RAG (Retrieval-Augmented Generation), agents, and orchestration frameworks
• Integrating AI capabilities into workflows or customer-facing solutions
• Exposure to ML infrastructure or AI-enabled automation platforms
• Advanced Technical Background: Hold a degree in Computer Science, Engineering, or a similar technical training
• Community & Open Source Engagement: Active in technical communities or have experience contributing to or working with open-source projects
• Product Familiarity: Experience with n8n or similar workflow automation, integration, or iPaaS tools
• Data-Driven Mindset: Comfortable collecting, analyzing, and using data to improve pre-sales processes, POCs, and customer outcomes

Qualifications

• Must-have:
• Must have 6+ years of experience in a technical pre-sales or Sales Engineering role, ideally within B2B SaaS, with direct exposure to enterprise customers
• Must have excellent communication skills, including the ability to clearly articulate complex technical concepts to both technical and non-technical audiences and confidently engage with enterprise stakeholders
• Must have commercial acumen, including the ability to understand sales processes and creatively translate customer requirements into scalable technical solutions
• Must have relationship-building skills, including the ability to excel at building and maintaining relationships with clients, particularly within infrastructure teams on deployment requirements
• Must have strong technical proficiency, including hands-on experience with API integrations, OAuth, and authentication/authorization concepts, JavaScript and/or Python for scripting, integrations, or demos, containerization and orchestration concepts (Docker, Kubernetes), CI/CD and DevOps practices, including integrating applications into CI/CD pipelines, networking fundamentals, security best practices, and observability concepts, cloud & infrastructure awareness (at least one major cloud platform), and exposure to ML infrastructure or AI-enabled automation platforms
• Nice-to-have:
• Must-have additional qualifications such as hands-on experience or strong familiarity with AI/LLM platforms, including concepts such as LLMs, RAG (Retrieval-Augmented Generation), agents, and orchestration frameworks, integrating AI capabilities into workflows or customer-facing solutions, exposure to ML infrastructure or AI-enabled automation platforms, advanced technical background, community & open source engagement, product familiarity, data-driven mindset, and relevant certifications or awards

Skills

• Technical Proficiency: Hands-on experience with API integrations, OAuth, and authentication/authorization concepts, JavaScript and/or Python for scripting, integrations, or demos, containerization and orchestration concepts (Docker, Kubernetes), CI/CD and DevOps practices, including integrating applications into CI/CD pipelines, networking fundamentals, security best practices, and observability concepts, cloud & infrastructure awareness (at least one major cloud platform), and exposure to ML infrastructure or AI-enabled automation platforms
• Communication: Ability to clearly articulate complex technical concepts to both technical and non-technical audiences and confidently engage with enterprise stakeholders
• Commercial Acumen: Understanding of sales processes and the ability to creatively translate customer requirements into scalable technical solutions
• Relationship Building: Ability to excel at building and maintaining relationships with clients, particularly within infrastructure teams on deployment requirements
• AI/ML Experience: Hands-on experience or strong familiarity with AI/LLM platforms, including concepts such as LLMs, RAG (Retrieval-Augmented Generation), agents, and orchestration frameworks, integrating AI capabilities into workflows or customer-facing solutions, exposure to ML infrastructure or AI-enabled automation platforms

Benefits

• Competitive compensation
• Ownership
• Work/life balance
• Health & wellness
• Future planning
• Financial security
• Career growth
• Passionate team
• Remote-first
• Giving back
• Ai enablement
• Transparency