Vice President of Engineering
New
N
Neuron7.aiAI enterprise SaaS
US -RemoteFull-TimeVp
Salary not disclosed
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Job Details
- Experience
- 15+ years of experience in software engineering, with 5+ years in senior leadership roles
- Required Skills
- AWSGCPAzureMicroservicesSoftware EngineeringNLPDistributed Systems
Requirements
- Bring 15+ years of experience in software engineering.
- Have 5+ years of experience in senior leadership roles.
- Have proven experience leading engineering teams in high-growth SaaS or AI companies.
- Demonstrate strong expertise in distributed systems, cloud platforms (AWS, Azure, or GCP), and microservices.
- Have experience building and scaling AI/GenAI systems, including LLMs, RAG, NLP, or search platforms.
- Show a track record of delivering enterprise-grade products at scale.
- Preferred: experience in Field Service, Customer Service, or enterprise operations.
- 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.
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, 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 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.
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