Product Manager, Selector AI
AIOps, Network, Infrastructure & Cloud Observability
$180-220k
Office located in Santa Clara, CA
AIOps platform for operational intelligence
Be an early applicant
AIOps platform for operational intelligence
101-200 employees
Be an early applicant
$180-220k
Office located in Santa Clara, CA
101-200 employees
Company mission
To help teams understand, troubleshoot, and operate complex infrastructure using AI-native observability and correlation.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
- 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
Our take
Selector AI is an AIOps solution that provides 360-degree visibility across a company’s complex network, infrastructure and applications. Especially useful for cloud network providers and telecom companies with large, complex and connected customer bases, Selector’s clients include the likes of NBC and Lumen who leverage the technology to mine deep insights from problems across their networks.
Selector’s AI-powered event intelligence platform effectively diagnoses the root cause of network and infrastructure errors. The company’s 2024 Series B round is being used to expand its presence, with new offices across the US, Canada, Europe, Singapore, India and Japan. This indicates the company’s move into an ambitious period of growth after 5 years of developing its product.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Nov 2024
$33m
SERIES B
Mar 2022
$28m
SERIES A
Total funding: $66m
Company benefits
- Participate in Our Success - Selector offers competitive equity packages that allow employees to participate in the company’s success
- Healthcare - Along with comprehensive dental, vision, and health benefits, Selector employees also have optional participation in flexible spending and health savings account programs
- Flexibility - Taking time off keeps our team members fresh and engaged. We offer unlimited PTO in most geographies
- Retirement Benefits - Employees are eligible to participate in the company’s 401K and Roth 401K plans
- Insurance - Selector provides basic life insurance, an optional supplemental Life & AD&D insurance plan, and short and long-term disability benefits
- A Hybrid Work Environment - At Selector, our team members can combine in-office and remote work to meet their unique requirements. We also offer entirely remote positions
Company HQ
Santa Clara, CA
Leadership
Nittin Kumar
(Co-Founder & CTO)Previously VP of Juniper Networks, Senior Software Engineer at Procket Networks and FORE Systems.
Kannan Kothandaraman
(Co-Founder & CEO)Previously VP of Product Line Management at Juniper Networks and Software Engineer at Cisco Systems.
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