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

Reposted 16 Days Ago
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Santa Clara, CA, USA
In-Office
180K-220K Annually
Expert/Leader
Artificial Intelligence • Information Technology • Software
The Role
The Product Manager will engage with enterprise customers to develop AIOps solutions for network and infrastructure monitoring, driving product roadmap and collaborating across teams to solve operational pain points and deliver enterprise-class capabilities.
Summary Generated by Built In

About Us

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, 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. 

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 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. 

Requirements

  • 10+ years of product management experience in infrastructure monitoring,
    observability, APM, or IT operations software. 
  • 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.

Compensation

The salary for this role is $180,000 - $220,000.  Final offer amounts are determined by multiple factors, including prior experience, and may vary from the amount listed.

Top Skills

Aiops
APIs
Application Performance Monitoring
Azure
Cloud (Aws
Data Platforms
Gcp)
Infrastructure Monitoring
Kubernetes)
Observability
Telemetry
Virtualization (Vms
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The Company
HQ: Santa Clara, CA
104 Employees
Year Founded: 2019

What We Do

Selector AI is the industry leading AIOps platform designed to provide instant, real-time actionable insights for managing multi-domain network and application infrastructures. By bringing together multiple sources of data into one easy to use platform, IT teams can troubleshoot network issues faster, avoid downtime, reduce MTTR and improve efficiency.

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