Vice President of Engineering
Company: Neuron7.ai
Location: US -Remote
About Neuron7.ai
Neuron7.ai is a leading Service Resolution Intelligence platform leveraging AI and GenAI to transform enterprise service operations. We help global enterprises improve resolution speed, reduce operational costs, and enhance customer experience through intelligent automation and AI-driven insights.
Role Overview
We are looking for a seasoned VP of Engineering to lead and scale our global engineering organization. This leader will be responsible for driving the technology vision, building high-performing teams, and delivering scalable, enterprise-grade AI products. The role requires deep expertise in AI/GenAI systems, distributed architecture, and enterprise SaaS platforms .
Key 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
Required Qualifications
- 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
Preferred Qualifications
- 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
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