Principal AIOps Specialist Account Executive

LogicMonitor
London
11 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Principal Data Analyst

Principal Machine Learning Engineer - Production Systems

Principal Data Engineer...

Principal Data Engineer...

Principal Data Engineer

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.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.