Sr Manager/Director AIML Engineering
Listed on 2026-01-14
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Software Engineer
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
- 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.
- 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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).