Senior Solutions Engineer | West Coast - Remote

What You’ll Be Doing

• 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

• Sales Engineering Experience: 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 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: 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: Solid understanding of at least one major cloud platform (AWS, GCP, or Azure) and common cloud services used in modern SaaS architectures
• Startup Experience: Thrive in fast-paced, high-ownership startup environments and enjoy wearing multiple hats
• Travel-Ready: Open to occasional travel and onboarding sessions with the team in NYC / EMEA as needed

Nice-to-have

• AI & Automation Experience: Hands-on experience or strong familiarity with AI/LLM platforms, including 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: Degree in Computer Science, Engineering, or similar technical training
• Community & Open Source Engagement: Active in technical communities or 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

Benefits

• Competitive compensation
• Equity ownership
• Work/life balance: US - 20 vacation days, 8 sick days, plus public holidays
• Health & wellness: Multiple low-premium medical plans, dental, vision
• 401(k) with 4% employer match
• Company-paid short-term/long-term disability and life insurance
• €1K (or equivalent) per year for career growth (courses, books, events, coaching)