Vice President of Engineering | US -Remote

Posted 24 Days Ago
7 Locations
In-Office or Remote
Expert/Leader
Artificial Intelligence • Software
The Role
Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.
Summary Generated by Built In

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


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!

Skills Required

  • 15+ years of experience in software engineering
  • 5+ years in senior leadership roles
  • Proven experience leading engineering teams in high-growth SaaS or AI companies
  • Strong expertise in distributed systems
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Experience with 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
  • Establishing best practices in software development, DevOps, and quality engineering
  • 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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The Company
HQ: San Jose, CA
23 Employees
Year Founded: 2020

What We Do

Neuron7 helps customer and field service teams diagnose and resolve complex issues in seconds. The Neuron7 AI platform works with existing customer service systems and a company’s entire body of structured and unstructured service data to help agents, technicians, bots, and self-service portals diagnose and resolve any issue instantly, accurately, and more profitably. Groundbreaking AI and Natural Language Processing (NLP) technology unlocks tribal knowledge so that all service team members perform like experts. Neuron7 is headquartered in San Jose, CA, and backed by Nexus Venture Partners and Battery Ventures.

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