Neuron7.ai Logo

Neuron7.ai

Vice President of Engineering | US -Remote

Posted Yesterday
Be an Early Applicant
In-Office or Remote
Hiring Remotely in CA
Expert/Leader
In-Office or Remote
Hiring Remotely in CA
Expert/Leader
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.
The summary above was generated by AI

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!

Similar Jobs

21 Minutes Ago
In-Office or Remote
CA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead end-to-end delivery of high-priority revenue programs, coordinating Product, Sales, Marketing, Finance, Legal, Risk, and Operations. Drive launch readiness for products and partnerships, establish governance and operating cadences, create repeatable launch frameworks and executive communications, and continuously improve cross-functional execution.
21 Minutes Ago
In-Office or Remote
CA
Mid level
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design, build, and operate services powering card issuance, transaction authorization, wallet provisioning, 3-D Secure, and disputes. Own features end-to-end within a microservice, event-driven architecture, write well-tested code, participate in reviews, and perform operational ownership including on-call and incident response. Leverage AI developer tools to improve velocity and quality.
Top Skills: AuroraAWSBuildkiteClaudeDatadogDynamoDBEvent-Driven ArchitectureGooseGradleGrpcHibernateHTTPJavaJSONKafkaKotlinMcpMicroservicesMySQLProtocol BuffersRedis
24 Minutes Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Design, build, and operate CIAM backend services for registration, authentication, authorization, and account lifecycle. Implement OAuth/OIDC/SAML/SCIM, develop APIs in Python/Kotlin, integrate identity platforms, automate deployments with IaC and CI/CD, and ensure secure, reliable, high-scale identity operations.
Top Skills: Auth0AWSAzure Ad B2CBuildkiteCi/CdCursorForgerockGitInfrastructure As CodeKotlinKubernetesMySQLOauth 2.0OidcOktaPing IdentityPythonSAMLScimSparkTerraform

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account