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Vice President of Engineering | US -Remote

4 weeks ago
United States
Full-time
Executive
VP of Engineering
Software Development
AWS Azure GCP Generative AI LLM Microservices NLP Salesforce
Apply Now
Neuron7.ai

Neuron7.ai

Neuron7.ai revolutionizes customer and field service with AI and NLP, providing fast and accurate resolutions for complex service issues, empowering service teams with AI-generated insights at scale.

Internet Software & Services
11-50
Founded 2020
$14M raised
View All Jobs 4

Description

  • 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, including LLMs, RAG, NLP, and agentic systems.
  • Ensure scalability, reliability, and performance of enterprise SaaS products.
  • Partner 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.

Requirements

  • 15+ years of experience in software engineering, including 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 such as AWS, Azure, or GCP, and microservices.
  • Experience building and scaling AI/GenAI systems such as LLMs, RAG, NLP, and search platforms.
  • Track record of delivering enterprise-grade products at scale.
  • Strong leadership, communication, and stakeholder management skills.
  • Experience in the field service, customer service, or enterprise operations domain is preferred.
  • Familiarity with Salesforce, ServiceNow, or enterprise system integrations is preferred.
  • Experience with vector databases, embeddings, and AI evaluation frameworks is preferred.
  • Background in data engineering, analytics, or search systems is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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