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Selector Software

AI-driven network observability and AIOps platform

Product Manager - Multiple Teams

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USAIn-person

About the Job

Requirements

  • At least 10 years of product management experience in infrastructure monitoring, observability, application performance monitoring, or IT operations software.
  • Strong understanding of infrastructure and network domains, including routing protocols and switching, with CCIE or JNCIE exposure.
  • Understanding of cloud platforms including AWS, Azure, and GCP.
  • Understanding of virtualization and containers, including virtual machines and Kubernetes.
  • Understanding of network telemetry, including SNMP, flow data, metrics, logs, and traces.
  • Understanding of hybrid and distributed system architectures.
  • Proven ability to work with engineering teams on complex, data-intensive products.
  • Experience with AIOps concepts such as event correlation, topology modeling, root cause analysis, 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.
  • Ability to communicate complex concepts clearly in writing and verbally to technical and non-technical stakeholders.

Responsibilities

  • Engage directly with engineering, NOC, SRE, and IT operations teams at enterprise customers to understand workflows, pain points, and success metrics for their networks.
  • Drive the product roadmap to address customers’ operational pain points and integrate Selector’s solution into their day-to-day operational procedures.
  • Define differentiated product capabilities and solutions to address high-impact operational problems in cloud, infrastructure, and network environments.
  • Prioritize competing enhancement requirements and balance customer needs, Selector’s business growth goals, and broader AI/ML trends.
  • Analyze competitive products to identify gaps, strengths, and opportunities for differentiation.
  • Partner with sales and customer success to support solution positioning, demonstrations, and proof-of-value engagements.
  • Write clear, precise product requirements documents focused on ingesting customer data and delivering operational outcomes; define success metrics such as alert reduction, noise reduction, MTTR improvement, alert fidelity, and automation effectiveness.
  • Collaborate with engineering, data science, solutions, and customer success management teams to deliver features that meet or exceed customer expectations.
  • Ensure AI-driven features are explainable, trustworthy, and aligned with how operators make decisions under pressure.
  • Partner with marketing on messaging, positioning, and launches of new features.
  • Enable internal teams with product documentation, training materials, competitive narratives, and customer-facing artifacts.
  • Support strategic accounts and lighthouse customers where product depth and credibility matter.

Desired Qualifications

  • Experience with application performance monitoring is highly desirable but not mandatory.

About the Company

Selector Software

AI-driven network observability and AIOps platform

Selector AI provides an AI-driven observability and network intelligence platform that unifies monitoring and automates root-cause analysis for large enterprises. The platform ingests and correlates metrics, logs, events, and configurations from hundreds of sources to deliver actionable insights through a single interface, eliminating the need for multiple siloed tools. It includes Selector Copilot, a Network Language Model for natural language queries, and a Digital Twin to visualize dependencies and simulate changes, along with AI-powered root-cause analysis. Offered as SaaS with on-premises or VPC-hosted options, the company aims to reduce downtime and MTTR for Fortune 1000 customers while expanding AI capabilities and its global footprint.

Company size
51-200
Company stage
Late Stage VC
Total funding
$98M
Headquarters
Santa Clara, CA
Founded
2019

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