Staff Product Manager, Network Observability

Infoblox•Olympia, WA

18h•$153,400 - $220,000•Remote

About The Position

Infoblox is seeking a Staff Product Manager to join its Product Management team, based anywhere in the US. This role reports to the VP, Products and will be responsible for the strategy, roadmap, and customer outcomes for Infoblox Observability’s Network Monitoring System (NMS), which was formerly Kentik’s NMS. NMS is a foundational component of Infoblox's observability portfolio, providing essential monitoring and telemetry from network devices to help customers understand their infrastructure's availability, health, and performance. The Staff Product Manager will lead the evolution of NMS from device monitoring and data collection into a modern platform for infrastructure understanding, problem diagnosis, and enabling network teams to operate with increased speed and confidence. This role involves integrating Kentik's deep visibility into network traffic, performance, and behavior with Infoblox's authoritative context on network identity, infrastructure, DNS, IP addresses, and associated assets. The goal is to provide network teams with a connected understanding of their network's existence, current state, and underlying causes. The Staff Product Manager will work closely with Engineering, customers, Sales, Marketing, and Customer Success to translate network operations needs into product priorities and measurable outcomes.

Requirements

10+ years experience in networking, network operations, observability, infrastructure, analytics, or another related technical field, with at least 5+ years of experience in product management
Strong working knowledge of networking concepts, network devices, operational workflows, and the needs of network operations teams
Ability to take ownership, operate independently, and translate ambiguous problems and diverse customer requests into focused strategy, roadmaps, and actionable requirements
Comfort using data, metrics, customer insight, experimentation, and product analytics to inform decisions
Strong collaboration and communication skills with Engineering, Sales, Marketing, Customer Success, Support, customers, and executive stakeholders
Familiarity with AI-enabled products and tools, along with the ability to speak thoughtfully about how AI is changing product development and customer expectations
Intellectual curiosity, sound judgment, accountability, and a team-oriented approach
Bachelor’s degree in a relevant field or equivalent practical experience

Responsibilities

Own the product strategy, vision, and roadmap for NMS as part of network observability, shaping a modern experience for increasingly hybrid, cloud-connected networks
Engage directly with customers and cross-functional stakeholders to identify unmet needs, product gaps, and opportunities for differentiated value
Grow our lead in understanding of network operations and customer workflows, translating customer, market, competitive, and technical insights into clear priorities, requirements, and measurable outcomes
Make network discovery, topology, and monitoring continuously useful, helping teams move from “something is broken” on a map to understanding what changed, why it matters, and what to investigate next
Bring network data together into a coherent operational experience, spanning SNMP, streaming telemetry, configuration, topology, performance, flow, and other signals
Continue developing our proactive network operations capabilities using Infoblox’s AI products across the Observability as well as entire Infoblox product suite
Make pragmatic trade-offs across customer value, technical feasibility, resources, deployment and operational simplicity, and long-term product direction
Translate customer, market, and technical insights into clear product requirements, user stories, acceptance criteria, priorities, and success measures
Drive prioritization for a rapidly evolving product area with an established customer base and competing customer requests
Use product data, customer feedback, market context, and competitive insight to guide decisions and measure outcomes
Drive alignment and prioritization across Product, Engineering, Sales, Marketing, Customer Success, Support, and executive stakeholders, using customer feedback, product data, experimentation, and market context to guide decisions
Use AI-enabled tools responsibly to accelerate product discovery and decision-making