Sr Manager / Director AIML Engineering

Who is cPacket?

cPacket is a leading provider of next-generation Network Observability for the modern enterprise. cPacket's solutions are the leading-edge foundation for network observability for enterprises, cloud and hybrid deployments.

Why cPacket?

At cPacket, we’re a tight-knit team driven by innovation, curiosity, and a shared commitment to excellence. We take smart risks, move fast, and bring deep expertise to everything we do — from cutting-edge hardware and software to real-time network analytics. Together, we’re reshaping what’s possible in the network observability space.

If you're someone who thrives on challenges, loves solving hard problems, and wants to make a real impact, you’ll feel right at home here. Our team includes world-class software engineers, FPGA designers, data scientists, and technologists who are passionate about building powerful solutions that matter.

We’re big on growth — both personal and professional — and we don’t back down in the face of uncertainty. We push forward, we adapt, and we support each other every step of the way.

The Role:

Reports to: SVP of Engineering

cPacket is building the next generation of intelligent network observability. As part of this vision, we are developing a new AI/ML-powered platform designed to deliver network observability insights, answering the 4 W (What, When, Where and Why) for network anomalies across complex network environments.

We’re seeking a Senior Manager of AI/ML Engineering to lead the cPacket AI engineering team through all phases of product development — from proof-of-value to production deployment, and operational scaling. In this leadership role, you will lead a team of incredibly talented data scientists, software engineers, and architects, and you will work with the latest AI and software technology.

• This is a technical leadership role that requires strong technical depth in AI/ML systems, software, data pipelines, distributed architectures, excellent cross-functional collaboration skills, and the ability to move fast in the face of ambiguity.
• Lead a multi-functional team encompassing data scientists, SW engineers, UI developers, data pipeline engineers and Kubernetes experts.
• Work on cutting-edge AI, ML and MCP applications deployed in large-scale networking environments.
• Be a key driver of an innovative new product line with company-level impact.
• Collaborate with a world-class team across engineering, product, and customer success.
• Influence the direction of a fast-growing technology company transforming network observability

Major Responsibilities

• Build, manage, and mentor a multidisciplinary engineering team including data scientists, data architects, software engineers, UI developers, MLOps engineers
• Lead the design, development, testing, deployment, and support of the entire solution including internally developed models and LLM interfaces.
• Design and build the operational capabilities to deploy and operate the solution
• Work with the product team to refine and clarify the product requirements
• Engage directly with large enterprise customers to drive POV / MVP deployments, capture learnings and feedback
• Lead the team to productization and operation post-MVP
• Make high-impact, high-judgment decisions on technical direction, model evaluation, system readiness, architecture, performance, and scalability.
• Contribute to the technical vision and the long-term roadmap of AI-based products at cPacket
• Set and communicate your team’s goals and establish plans and schedules to attain them. Turn ambiguous product requirements into actionable plans and designs.
• Fully own and manage all technical and non-technical aspects of product development and delivery for your engineering teams
• Foster a collaborative and fast-paced development environment.
• Attract and retain top talent in the AI industry and nurture professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.  

Minimum Requirements

• You have 15 years of overall software engineering experience, working on production code, with at least 7 years of hands-on technical leadership and people management experience
• You have the ability and proven track record to successfully lead and ship complex software products in a loosely structured environment
• In-depth knowledge and proven track record in AI/ML technology in product development, including time series modeling and unsupervised learning. Experience with leading and managing machine learning teams of applied data scientists and engineers.
• Experience with Agentic AI/MCP required. Kubernetes experience desired.
• Proven ability to deliver high-quality software and models in an agile, fast-paced environment.
• Understanding of networking fundamentals and network protocols. Understanding of distributed architectures
• You can hire, coach, motivate, develop, and delegate to team members with different skill sets from your own
• You can resolve problems, manage risk, lead change, and facilitate collaborative decision-making in a multi-functional team
• You are able to prioritize, organize, and drive the team’s work alongside your product management peers
• Known for balancing fast iteration, strategic ambiguity, and high-quality outcomes in a dynamic business environment.
• Strong project management skills, with the ability to manage and prioritize across multiple projects.
• Excellent written and verbal communication skills, with the ability to articulate product strategies to diverse stakeholders.

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