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Vice President of Engineering | US -Remote

3 hours, 29 minutes 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 the architecture and delivery of AI/GenAI platforms, including LLMs, RAG, NLP, and agentic systems.
  • Ensure the scalability, reliability, and performance of enterprise SaaS products.
  • Partner with Product, Sales, and Customer teams to deliver customer-centric solutions.
  • Establish software development, DevOps, and quality engineering best practices.
  • Lead engineering hiring, mentoring, and leadership development.
  • Drive innovation across AI, data platforms, and cloud infrastructure.
  • Manage budgets, planning, and execution for engineering initiatives.

Requirements

  • 15+ years of software engineering experience, including 5+ years in senior leadership roles.
  • Experience leading engineering teams at high-growth SaaS or AI companies.
  • Expertise in distributed systems, cloud platforms such as AWS, Azure, or GCP, and microservices.
  • Experience building and scaling AI/GenAI systems, including LLMs, RAG, NLP, and 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 domains (preferred).
  • Familiarity with Salesforce, ServiceNow, or enterprise system integrations (preferred).
  • Experience with vector databases, embeddings, and AI evaluation frameworks (preferred).
  • Background in data engineering, analytics, or search systems (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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