Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal AIOps Specialist Account Executive

LogicMonitor
London
7 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer - Azure Databricks (Unity Catalog)

Principal Data Engineer - Azure Databricks (Unity Catalog) - Contract

Principle Data Engineer

Senior Data Analyst

Data Analyst

Data Scientist - Ad Campaign Performance

What You'll Do:

LM Envision, LogicMonitor's leading hybrid observability platform powered by AI, helps modern enterprises gain operational visibility into and predictability across their IT stacks, so they can continue to deliver extraordinary employee and customer experiences. LogicMonitor has a layered approach to intelligence, where AI and Machine Learning is baked into every facet of the LM Envision platform to help IT teams improve efficiency, minimize alert fatigue, proactively predict trends, and maximize enterprise growth and transformation. 

Our customers love LogicMonitor's ability to bring cloud and traditional IT together into one view, as seen in minimal churn rates, expansion business, and exciting new customer references. In fact, LogicMonitor has received the highest Net Promoter Score of any IT Infrastructure Management provider. LogicMonitor also boasts high employee satisfaction. We have been certified as a Great Place To Work®, and named one of BuiltIn's Best Places to Work for the seventh year in a row! 

This is a once in a lifetime opportunity to be a part of an organization with an outstanding product, operation and culture. We are seeking an experienced AIOps seller who has sold extensively at the enterprise level. This role will work closely with customers/prospects, functional leaders, organizational units, and subject matter experts, driving the AIOps solution business. This is an overlay sales position which will act primarily as a quota-carrying solution seller, and will also assist as a strategic liaison to marketing, product and customer success teams to help maximize success of newly launched AIOps products.

Here's a closer look at this key role:

Meet and exceed AIOps pipeline and revenue targets with overlay responsibility Close both net new accounts and grow existing accounts Act as an AIOps domain expert, supporting sales activities with clients and internal teams. Clearly communicate the unique value and differentiators of LM’s AIOps products. Collaborate with cross-functional teams to shape go-to-market strategies for AIOps and its connection to the LM Envision Platform. Support pipeline generation teams by providing competitive positioning insights. Partner with Sales and Engineering teams to develop customer-focused account strategies. Support Sales Specialist leadership  Act as an extension of the Product Management team by delivering the solution roadmap, capturing client feedback, and identifying changes in the market and competitive landscape Work with Product Marketing as a subject matter expert to create campaigns and collateral that drive demand. Represent the company at key customer and industry events. Stay up-to-date on the latest AIOps trends and their impact on businesses.

What You'll Need:Bachelor’s degree in Business, Information Systems, or equivalent experience. 4+ years Solution selling or specialist-selling 6+ years in customer-facing B2B sales Expertise in AIOps, observability, monitoring, and Cloud technologies Proficient in Salesforce and other go-to-market tools. Ability to simplify and articulate complex technologies. Proven track record of exceeding sales targets and growing business.

Click to read our International Applicant Privacy Notice.

LogicMonitor is an Equal Opportunity Employer
At LogicMonitor, we believe that innovation thrives when every voice is heard and each individual is empowered to bring their unique perspective. We’re committed to creating a workplace where diversity is celebrated, and all employees feel inspired and supported to contribute their best.

For us, equal opportunity means fostering a truly inclusive culture where everyone has the chance to grow and succeed. We don’t just open doors; we invite you to step through and be part of something bigger. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

#LI-XX1 #LI-REMOTE #LI-Hybrid #BI-Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.