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    Senior Solutions Engineer | East Coast - Remote

    n8n
    New YorkUnited States
    Remote
    Senior
    Full Time
    about 1 month ago
    remotesales engineeringenterpriseB2B SaaStechnical pre-salesstartupAIautomation

    Requirements

    • 6+ years of experience in a technical pre-sales or Sales Engineering role, ideally within B2B SaaS
    • Excellent communication skills to articulate complex technical concepts to technical and non-technical audiences
    • Understanding of sales processes and ability to translate customer requirements into scalable technical solutions
    • Strong relationship building skills with clients, especially infrastructure teams
    • Hands-on experience with API integrations, OAuth, authentication/authorization concepts
    • Proficiency in JavaScript and/or Python for scripting, integrations, or demos
    • Knowledge of containerization and orchestration concepts (Docker, Kubernetes)
    • Experience with CI/CD and DevOps practices including integrating applications into CI/CD pipelines
    • Understanding of networking fundamentals, security best practices, and observability concepts
    • Solid understanding of at least one major cloud platform (AWS, GCP, or Azure) and common cloud services
    • Experience thriving in fast-paced, high-ownership startup environments
    • Willingness to travel occasionally and attend onboarding sessions in NYC/EMEA

    What You'll Do

    • Lead Enterprise technical discovery, deep-dive calls, and tailored demos addressing security, scalability, and reliability requirements
    • Partner with Account Executives to assess technical fit, shape deal strategy, and handle technical objections
    • Own Enterprise POCs end-to-end from scoping success criteria to hands-on technical guidance
    • Help customers validate n8n in real-world conditions and capture POC learnings
    • Build strong relationships with IT, Security, Platform, and Engineering stakeholders
    • Explain n8n’s approach to security, deployment, governance, and scale
    • 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

    Nice to Have

    • Hands-on experience or strong familiarity with AI/LLM platforms including LLMs, RAG, agents, and orchestration frameworks
    • Experience integrating AI capabilities into workflows or customer-facing solutions
    • Exposure to ML infrastructure or AI-enabled automation platforms
    • Advanced technical background such as a degree in Computer Science, Engineering, or similar
    • Active engagement in technical communities or open-source projects
    • Experience with n8n or similar workflow automation, integration, or iPaaS tools
    • Data-driven mindset comfortable with collecting, analyzing, and using data to improve pre-sales processes and customer outcomes

    Benefits

    • Competitive compensation
    • Equity ownership in the company
    • Work/life balance with vacation and public holidays (30 days vacation in Europe, 15 vacation days and 8 sick days in US)
    • Health and wellness benefits (country-specific in Europe, multiple medical plans including dental and vision in US)
    • Future planning benefits including pension contributions in Europe and 401(k) with employer match in US
    • Financial security benefits including disability and life insurance
    • Career growth budget of €1K or equivalent per year for courses, books, events, or coaching
    • Passionate team with regular hackathons
    • Remote-first work culture with regular off-sites
    • $100 per month to support open source projects
    • Unlimited AI budget for productivity and creativity tools
    • Transparency about company operations and projects
    • Ambitious but kind culture with high employee satisfaction (eNPS 94)

    About n8n

    N8n is a workflow automation tool that integrates AI capabilities with business process automation.

    Berlin, Germany
    100 - 250
    AI & Machine Learning