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!
Neuron7.ai San Jose, California, USA Office
5302 Beaumont Canyon Dr, San Jose, CA, United States, 95138
Neuron7.ai Santa Clara, California, USA Office
2445 Augustine Dr, Suite 150 Santa Clara, CA 95054 United States, Santa Clara, United States, 95054
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
