Account Executive - Strategic Enterprise

LogicMonitor
London
4 months ago
Applications closed

Related Jobs

View all jobs

Account Executive

Enterprise Account Executive

New Business Account Executive - German Market (UK)

Account Director - MedComms

TECHNICAL SALES ENGINEERS X 5 AI /ML

Technical Sales Engineers / Solutions Engineers – AI & ML

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 sixth year in a row! 

You will have experience in managing complex sales cycles, navigating enterprise organisations to build solid engagements with multiple stakeholders. You will be an extremely positive individual who sees challenges as opportunities and has the ability to motivate and lead by example. The role will involve travel and you should expect varied working hours. We are looking for goal oriented candidates who understand how to build a plan for business development across a territory. The AE acts as the primary contact for prospects managing the relationship from the LogicMonitor side. 

Here's a closer look at the duties in this key role:

Identify and prospect into target accounts Book 2 new logo meetings per week  Attend 2 self sourced new logo meetings per week Understand the LogicMonitor technology platform and be able to present unique business value to prospects Implement Vista Value Selling methodology / sales process to move prospects through the sales cycle Assist prospects progress through sales cycle by engaging our presales, product and management teams  Trial optimisation (proactively adding dashboards, creating sample reports, etc. for all trial prospects) Learn how LogicMonitor solves customer problems and be able to tailor the solution to different types of customers and use cases

What You'll Need:

5+ years of B2B sales experience 2+ years of SaaS sales experience Experience selling into the public sector Ability to simply articulate complex technologies Proven track record of exceeding sales quotas Success closing net new accounts while working existing accounts Experience in prospecting and outbound outreach to book first contact meetings Experience of managing a complex sales cycle and documenting activity in a CRM Motivated self-starter, able to work autonomously as well as part of a team Excellent communication skills with a solid grasp of the English language both written and verbal with competent presentation skills Proven experience of negotiating new business opportunities Proof of meeting or exceeding sales targets in a software sales role Manage and fill a pipeline with limited help from an inside Market Development Team On a weekly basis provide LM managers a monthly & quarterly forecast Travel required

Click to read our International Applicant Privacy Notice.

#LI-SH1 #LI-Hybrid #BI-Hybrid 

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.