Selector

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.

selector.ai

Selector

selector.ai

HQUS

Team Size143

Open Jobs11

Total Funding-

Latest FundraiseUnknown

TL;DR

Founded: 2019

Headquarters: Santa Clara, California

Product: AI-driven AIOps/observability platform with Network Language Model

Recent funding: Series B ~ $33M (Nov 2024); additional $32M round announced Feb 2026

Employees (approx.): 143

Company Overview

Problem Domain

Network, infrastructure, and application observability/AIOps

Founded

2019

Industry

Software Development

Funding Track Record

Series A- March 2022

$28M

Series B- November 2024

$33M

- February 18, 2026

$32M

Round announced with participation from existing investors

Investor Signal

“Combination of venture and strategic corporate investors including Two Bear Capital, Atlantic Bridge, SineWave Ventures, Ansa Capital, AT&T Ventures, Bell Ventures, Comcast Ventures, and Singtel Innov8”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Selector

selector.ai

Selector

selector.ai

HQUS

Team Size143

Open Jobs11

Total Funding-

Latest FundraiseUnknown

TL;DR

Founded: 2019

Headquarters: Santa Clara, California

Product: AI-driven AIOps/observability platform with Network Language Model

Recent funding: Series B ~ $33M (Nov 2024); additional $32M round announced Feb 2026

Employees (approx.): 143

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Company Overview

Problem Domain

Network, infrastructure, and application observability/AIOps

Founded

2019

Industry

Software Development

Funding Track Record

Series A- March 2022

$28M

Series B- November 2024

$33M

- February 18, 2026

$32M

Round announced with participation from existing investors

Investor Signal

Founders

What we do

Join the Team

Senior Pre-Sales Systems Engineer

On-SiteBengaluru, Karnataka, IN

On-Site • Bengaluru, Karnataka, IN

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Senior Pre-Sales Systems Engineer

Selector AI

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Data Scientist

Part-timeHamburg, DE

Part-time • Hamburg, DE

AI Researcher

InternshipRotterdam, NL

Internship • Rotterdam, NL

Machine Learning Engineer

InternshipTel Aviv

Internship • Tel Aviv

Mobile Developer

InternshipNiš, RS

Internship • Niš, RS

Software Engineer

Full-timeManchester, GB

Full-time • Manchester, GB

DevOps Engineer

InternshipBerlin, DE

Internship • Berlin, DE

Deliver technical presentations to demonstrate Selector Software’s usable AIOps analytics solution capabilities to prospects and customers using strong understanding of application and network protocols. Talk with customers to educate them on the use of the SelectorAI platform and ensure their success on the SelectorAI platform and work closely with our Enterprise prospects to determine technical requirements. Scope and architect customer deployments of the SelectorAI platform and Selector Software’s usable AIOps analytics solution, along with troubleshooting technical challenges. Participate in POC with the customer and solution engineers to show value and outcomes of the AIOps solution leveraging SelectorAI platform by understanding various network and monitoring protocols such as SNMP, telemetry (gNMI), and other tools which would interop with the SelectorAI platform. Help customers solve issues while using the SelectorAI platform and Selector Software’s usable AIOps analytics solution related to network and application layer protocols like TCP/IP, DNS, HTTP, VoIP, etc. Provide post-sales technical support (training, deployment, support, etc.) in collaboration with Customer Success team. Provide technical prospecting to support the technical sales process and help uncover sales opportunities. Research technical topics such as Content Delivery Networks (CDN), cloud computing, cloud infrastructure to learn about industry developments and explore technical topics impacting the industry to grow as an industry leader. Interface with product management and engineering teams to provide product feedback from customer interaction and present technical topics and successful wins as well as share technical challenges and ways to overcome them. Deliver talks on technical topics at trade shows and marketing events to promote products. Build and maintain technical and trusted advisory relationships with customers and peers.