Product Manager – AIOps (Network, Infrastructure & Cloud Observability)

Selector Software•Santa Clara, CA

10d•$180,000 - $220,000

About The Position

Selector is building an operational intelligence platform for digital infrastructure. By adopting an AI/ML-based analytics approach, the platform provides actionable multi-dimensional insights to network, cloud, and application operators. It enables operations teams to meet their KPIs through seamless collaboration, search-driven conversational user experience, and automated data engineering pipelines. Our solutions are used by leading Telecoms, Media Providers, Retail, and Professional Sports organizations across the world. Our novel approach and rapidly expanding footprint put us in the unique position for continued growth to become a category leader. To fuel our growth, we are seeking passionate, high-energy, results-oriented individuals to join our team. Our mission is to deliver world-class solutions on behalf of the large enterprise. Supported by leading investors, Selector is uniquely positioned to deliver a world-class solution to address large enterprise requirements across the globe. Selector offers a discretionary PTO policy, health insurance, 401k, the opportunity for a bonus, and more. Job Overview Product Manager is responsible for working with Selector customers across large enterprises and service providers to create an AIOps solution to detect, diagnose (find RCA), and remediate operational issues across complex network, infrastructure and cloud deployments. The ideal candidate brings hands-on product experience from modern observability or monitoring platforms (e.g., LogicMonitor, Datadog, Dynatrace, New Relic, AppDynamics), with deep exposure to network, infrastructure and cloud monitoring domains. Experience with application performance monitoring (APM) is highly desirable but not mandatory. PLM will work closely with engineering, data science, UX, sales, and customer success teams to translate real-world operational pain points into enterprise class product capabilities.

Requirements

10+ years of product management experience in infrastructure monitoring, observability, APM, or IT operations software.
Prior experience at or deep familiarity with platforms such as Solarwinds, LogicMonitor, Datadog, Dynatrace, New Relic, AppDynamics, or similar.
Strong understanding of infrastructure and network domains, including: Routing protocols/ Switching (CCIE, JNCIE exposure) Cloud (AWS, Azure, GCP) Virtualization and containers (VMs, Kubernetes) Network telemetry (SNMP, flow data, metrics, logs, traces) Hybrid and distributed system architectures
Proven ability to work w/ engineering on complex, data-intensive products.
Experience with AIOps concepts such as event correlation, topology modeling, RCA, or predictive analytics.
Exposure to network operations, NOC workflows, SRE practices, or large-scale enterprise environments.
Familiarity with APIs, telemetry pipelines, and large-scale data platforms.
Excellent written and verbal communication skills, with the ability to articulate complex concepts clearly to both technical and non-technical stakeholders.

Responsibilities

Customer & Market Understanding & Roadmap Alignment Engage directly with various teams in key enterprise customers - engineering, NOC, SREs, and IT operations teams - to deeply understand workflows, pain points, and success metrics for networks the customers operate.
Drive the product roadmap to solve for operational pain points customers face. Emphasis is on making sure that Selector solution becomes part of day-to-day operational procedures for customers.
Define differentiated product capabilities and solutions to eliminate high-impact operational problems in cloud, infrastructure and network environments across customer base.
Prioritize competing enhancement requirements and drive balance between different specific customer needs, Selector business growth goals, and broader AI/ML trends to stay at the cutting edge of the AI/ML adoption in our chosen market segment.
Analyze competitive products (LogicMonitor, Datadog, Dynatrace, etc.) to identify gaps, strengths, and opportunities for differentiation.
Partner with sales and customer success to support solution positioning, demos, and proof-of-value engagements.
Execution & Delivery Write clear, precise product requirements (PRDs), documents, with a strong focus on ingesting specific customer data and delivering operational outcomes based on available data. These specific outcomes / success metrics for AIOps features include benefits such as alert reduction, noise reduction, MTTR improvement, alert fidelity, automation effectiveness.
Collaborate closely with engineering, data science, solutions and CSM teams to deliver features to meet /exceed customer expectations.
Ensure AI-driven features are explainable, trustworthy, and aligned with how operators make decisions under pressure.
Go-To-Market & Enablement Partner with marketing on messaging, positioning, and launch of new features.
Enable internal teams with product documentation, training material, competitive narratives, and customer-facing artifacts.
Support strategic accounts and lighthouse customers where product depth and credibility matter.