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Senior Engineering Manager- AI/ML & networking

5-10 Years
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  • Posted 9 days ago
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Job Description

Key Responsibilities

  • Lead a team of engineers working on AI-driven solutions in the networking and network security domain
  • Act as a hands-on technical leader, guiding design, architecture, and implementation
  • Work closely with customers, solution architects, and delivery teams to understand requirements and propose solutions
  • Collaborate with client product managers, architects, and engineering stakeholders to align on technical direction, scope, and roadmap
  • Drive execution of AI-based automation, analytics, and optimization use cases in networking projects
  • Ensure timely delivery of high-quality software aligned with client expectations
  • Stay abreast of industry trends in AI and networking to identify innovation opportunities
  • Foster a collaborative and performance-driven culture within the team
  • Lead internal product accelerators and contribute to reusable solution assets and frameworks
  • Drive engineering best practices including Agile/Scrum methodologies, CI/CD, code quality, design reviews, and architecture decision records
  • Oversee hiring and onboarding of engineers; collaborate with recruitment to build high-caliber teams
  • Identify and manage risks proactively, including technical, resourcing, and delivery-related risks
  • Coach, mentor, and grow engineering leads and senior developers; foster a culture of learning, collaboration, and ownership

Basic Qualifications

  • 8+ years of experience in engineering roles, with at least 2 years in a team leadership or engineering management capacity (or 12+ years with 4+ years in leadership roles)
  • Proven experience in projects at the intersection of AI/ML and networking technologies
  • Deep understanding of network communication protocols (e.g., TCP/IP, SNMP, BGP, OSPF)
  • Practical knowledge of AI/ML tools and frameworks (e.g., Python, TensorFlow, PyTorch, Scikit-learn)
  • Strong problem-solving and analytical skills with a hands-on mindset
  • Proven experience managing multiple product engineering teams in a client-facing services environment
  • Excellent communication and stakeholder engagement skills
  • Knowledge of cloud-native platforms (AWS, Azure, GCP), containerization, and microservices

Preferred Qualifications

  • Experience working with OEMs, MSPs, or service providers in the networking domain
  • Understanding of SDN, NFV, or cloud networking architectures (AWS, GCP, Azure)
  • Exposure to AI/ML Ops tools (e.g., MLflow, Kubeflow, SageMaker)
  • Ability to manage cross-functional teams and lead delivery across multiple projects
  • Excellent communication and stakeholder engagement skills (reiterated for emphasis due to client-facing nature)

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About Company

Gruve was founded on the premise that new technologies in Machine Learning, Data Sciences, Artificial Intelligence, and Software Development are transforming Enterprise Services. Our goal is to harness these advancements to deliver services with superior efficiency and tangible outcomes.

Job ID: 122870063