Neuron 7 - Vice President of Engineering
Requirements
• 15+ years of experience in software engineering, with 5+ years in senior leadership roles • Proven experience leading engineering teams in high-growth SaaS or AI companies • Strong expertise in distributed systems, cloud platforms (AWS/Azure/GCP), and microservices • Experience building and scaling AI/GenAI systems (LLMs, RAG, NLP, search platforms) • Track record of delivering enterprise-grade products at scale • Strong leadership, communication, and stakeholder management skills • Experience in Field Service, Customer Service, or enterprise operations domain • Familiarity with Salesforce, ServiceNow, or enterprise system integrations • Experience with vector databases, embeddings, and AI evaluation frameworks • Background in data engineering, analytics, or search systems • Our Commitment to Diversity and Inclusion: • Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital status, or any other characteristic protected by law. • If you’re excited about using data to drive service intelligence and want to be part of a forward-thinking team, we’d love to hear from you! • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• Define and execute the engineering strategy and technology roadmap aligned with business goals • Build, lead, and scale high-performing global engineering teams • Drive architecture and delivery of AI/GenAI platforms (LLMs, RAG, NLP, agentic systems) • Ensure scalability, reliability, and performance of enterprise SaaS products • Partner closely with Product, Sales, and Customer teams to deliver customer-centric solutions • Establish best practices in software development, DevOps, and quality engineering • Lead hiring, mentoring, and leadership development across engineering teams • Drive innovation in AI, data platforms, and cloud infrastructure • Manage budgets, planning, and execution for engineering initiatives
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