ABOUT SNOWPEAK AI

We’re building a revolutionary AI platform that democratizes access to intelligent automation. Our mission is to empower non-technical users - from plumbers to Officer managers to small business owners - to create and deploy AI agents without writing a single line of code. We’re making AI accessible through intuitive interfaces while providing powerful integration capabilities across web, mobile, and enterprise systems.

REQUIRED SKILLS & QUALIFICATIONS

• Technical Expertise:
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• Experience: 6+ years in software engineering with 3+ years in technical leadership roles

• Full-Stack Development: Proficiency in modern web frameworks (React, Vue, Angular) and backend technologies ( Node.js, Python, Go, Java or similar)
• AI/ML Integration: Hands-on experience integrating AI/ML models into production applications, preferably with LLMs and Agentic platforms like LangGraph, n8n
• Cloud Platforms: Expertise with AWS, GCP, or Azure, including containerization (Docker, Kubernetes)
• Database Systems: Experience with both SQL and NoSQL databases, understanding of data modeling for AI applications
• API Design: Strong background in RESTful APIs, GraphQL, and webhook systems for third-party integrations
• Mobile Development: Understanding of mobile app development or SDK creation (iOS/Android)
• Advanced Technical Skills
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• AI/ML Depth: Experience with model fine-tuning, prompt engineering, or AI model deployment at scale

• Real-Time Systems: Background with WebSockets, real-time communications, or streaming data
• DevOps: Experience with CI/CD pipelines, monitoring, and site reliability engineering
• Microservices: Architecture experience with distributed systems and microservices
• Industry & Domain Expertise:
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• B2B SaaS: Experience building and scaling B2B software platforms

• Enterprise Sales: Experience supporting enterprise customer requirements and compliance needs
• Open Source: Contributions to open source projects or experience building developer tools
• Leadership & Soft Skills
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• Team Management: Proven track record of building and leading engineering teams (3-8 engineers)

• Communication: Excellent written and verbal communication skills, able to explain complex technical concepts to non-technical stakeholders
• Problem Solving: Strong analytical and problem-solving abilities, especially in ambiguous or rapidly changing environments
• User Empathy: Deep understanding of user experience principles, particularly for non-technical users
• Startup Experience: Experience in fast-paced, resource-constrained environments with changing priorities
• Platform & Integration Experience
• No-Code/Low-Code: Experience building user-friendly interfaces for complex technical functionality
• Third-Party Integrations: Background with webhook systems, OAuth, payment, and various API standards
• Scalability: Experience scaling platforms from thousands to millions of users
• Security: Understanding of enterprise security requirements, data privacy (GDPR, CCPA), and secure API design

ABOUT THE ROLE:

We’re seeking an experienced Engineering Lead to spearhead the technical development of our AI platform. This is a hands-on leadership role where you’ll architect scalable solutions, build and mentor a high-performing engineering team, and ensure our platform delivers exceptional user experiences for non-technical users while maintaining enterprise-grade reliability and performance.
This role is ideal for a collaborative, startup-savvy technology leader who thrives on building scalable systems, mentoring high-performing teams, and delivering products that move the needle. Please note that this is a FULLY on-site role (M-F) at our Irvine, CA headquarters. No remote applicants. Relocation is required for non-local candidates.

KEY RESPONSIBILITIES

• Technical Leadership:
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• Platform Architecture: Design and implement scalable, secure, and maintainable architecture for our AI agent platform

• User Experience & Interfaces: Develop front and back-end interfaces for sign-in, requirement definition, and secure submission of information and documents.
• AI Integration: Lead integration of various AI models (LLMs, computer vision, NLP) into user-friendly, no-code interfaces
• Cross-Platform Development: Oversee development of web applications, mobile SDKs, and API integrations
• Technical Strategy: Define technical roadmap and make critical architectural decisions that balance innovation with stability
• Team Leadership & Development:
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• Team Building: Hire, onboard, and develop a diverse engineering team across frontend, backend, AI/ML, and DevOps

• Mentorship: Provide technical guidance and career development for engineers at all levels
• Culture: Foster a collaborative, innovative engineering culture focused on user-centric solutions
• Agile Practices: Implement and optimize development processes that ensure rapid, reliable delivery
• Cross-Functional Collaboration:
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• Product Partnership: Work closely with product managers to translate business requirements into technical solutions

• Data Science: Partner with data scientists to optimize AI model performance, implement A/B testing frameworks, and leverage user interaction data to improve agent effectiveness and platform intelligence
• Go-to-Market: Support sales and marketing with technical expertise during customer engagements
• Other duties as assigned