In the competitive field of AI-driven network operations, effective channel partnerships are crucial for market expansion. To empower this growth, Selector, a leader in AIOps, has announced the launch of a comprehensive Channel Partner Program and a dedicated Partner Portal. This new ecosystem is designed to enable organizations to leverage Selector's AI solutions, providing them with the tools and support needed to scale go-to-market efforts within a high-quality partner network.
Selector launches a Channel Partner Program and Portal to drive AIOps market expansion.
The program offers partners deal registration, lead sharing, and joint marketing opportunities.
A new Partner Portal centralizes sales and technical enablement resources.
Selector has hired channel veteran Chris Martinez as Director of Channel Sales to lead the initiative.
The company's AIOps platform provides network visibility, an LLM Copilot, and an Operational Digital Twin.
This move aims to simplify the sales cycle for partners and accelerate customer adoption.
The new Channel Partner Program is structured to provide mutual benefits, allowing partners to sell Selector's AI solutions while receiving dedicated support. Key incentives include priority deal registration, which protects partner-driven opportunities, and access to shared leads. The program also facilitates joint marketing initiatives to boost market exposure. Complementing the program is the new Partner Portal, which serves as a centralized hub for all critical sales collateral, technical documentation, and enablement materials, streamlining the process for partners to market and sell complex AI-driven products.
To spearhead this strategic initiative, Selector has appointed Chris Martinez as its new Director of Channel Sales. Martinez brings over 13 years of experience in the channel space, specifically in observability, networking, and IT operations. His mandate is to build and scale Selector's partner ecosystem from the ground up, focusing on driving channel-led growth and ensuring partners are equipped to deliver significant value to their customers.
"This is an exciting time to join Selector as it continues to expand globally and solidify its position at the forefront of AI-powered operations," said Martinez. "I am passionate about driving channel-led growth and my background provides me with a unique perspective on the challenges and opportunities facing today's enterprises."
Selector's platform is the foundation of this partner push. It moves beyond traditional monitoring and observability tools by offering a unified AI-driven operations intelligence platform. Its core products include advanced Correlation & Root Cause Analysis, an industry-first network Large Language Model (LLM) & Copilot that allows for natural language interaction with network data, and an Operational Digital Twin. This patented technology is recognized for its ability to help enterprises drastically reduce repair times and achieve rapid time-to-value, making it a compelling solution for partners to bring to market.
Martinez added that Selector's patented technology is transforming how organizations simplify operations and maximize the value of their IT and network data. The ability to deliver quick time-to-value with enterprise clients has fueled rapid adoption across industries.
Selector is an AIOps solution that gives the world's largest companies complete visibility and intelligence into their highly complex networks, infrastructure, and applications. Leading telecommunications companies, cloud service providers (CSPs), and enterprises across various industries utilize the company's technology to ensure their networks are up and running, generating revenue. It achieves this by eliminating 90% of the repair time teams spend manually identifying the origins of incidents and outages. Selector's AI engine interfaces directly with its industry-first network large language model (NLM) to autonomously sort through enormous volumes of data, making troubleshooting instantaneous. Now, for the first time, network teams can have real-time conversations in human language with all their data across warehouses and tooling, fixing issues exponentially faster.
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