S

Selector Software

AI-driven network observability and AIOps platform

Technical Marketing Engineer

Product MarketingConfirmed live in the last 24 hours
Full-timeRemote in IndiaRemote

About the Job

Requirements

  • A bachelor's degree in Marketing, Business, Engineering, or a related field is required.
  • Five or more years of engineering experience are required.
  • Proficiency with Cursor or similar AI-augmented integrated development environments to create React-, Vue-, or Tailwind-based front-end demos is required.
  • Familiarity with video capture and editing tools such as Camtasia, Loom, Descript, or Adobe Premiere is required.
  • Knowledge of BGP, gNMI, flow data, and OpenConfig is required.
  • Strong analytical skills and the ability to use data to inform decisions are required.
  • The candidate must be able to work as a self-starter in a fast-paced, dynamic environment.

Responsibilities

  • Develop technical assets, including deep-dive white papers, reference architectures, technical blogs, and detailed how-to guides.
  • Build, maintain, and script demo environments, ensuring the sales engineering team has sandboxes to showcase machine-learning-driven insights.
  • Conduct hands-on lab testing of competing products and create technical competitive battlecards.
  • Build and record technical tutorials designed to reduce time-to-value for new users.
  • Use modern AI coding tools such as Cursor, GitHub Copilot, or Replit to rapidly prototype custom front-end dashboards and visualization layers.
  • Stay up to date on networking technologies, industry trends such as AIOps, network automation, SASE, and SD-WAN, and competitor products.

Desired Qualifications

  • An MBA is a plus.

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

Recently Posted Jobs

Explore more opportunities at Selector Software

See more jobs