Full-Time

Account Executive

Enterprise, AI

Confirmed live in the last 24 hours

LogicMonitor

LogicMonitor

1,001-5,000 employees

IT infrastructure monitoring platform with AI

Enterprise Software
AI & Machine Learning

Compensation Overview

$137.5k - $156.3kAnnually

+ Equity Compensation

Senior

San Francisco, CA, USA

Category
Field Sales
Sales & Account Management
Required Skills
Product Management
Salesforce
Requirements
  • 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.
Responsibilities
  • 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.

LogicMonitor provides a platform for monitoring IT infrastructure across both on-premises and cloud environments. Its service is designed for a variety of clients, including large enterprises and service providers, who need effective monitoring solutions to maintain operational efficiency and avoid system failures. The platform operates on a subscription model, allowing users to scale their monitoring capabilities as needed and deploy them quickly. By utilizing artificial intelligence and machine learning, LogicMonitor can anticipate potential problems and offer actionable insights, enabling businesses to concentrate on growth rather than maintenance. With offices in multiple countries, including the United States, the United Kingdom, India, Australia, and Singapore, LogicMonitor serves a global customer base. The company's goal is to provide real-time visibility and predictive analytics to help businesses enhance their operations and discover new growth opportunities.

Company Stage

N/A

Total Funding

$139.1M

Headquarters

Santa Barbara, California

Founded

2007

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

20%
Simplify Jobs

Simplify's Take

What believers are saying

  • The introduction of AI-driven tools like Edwin AI and LM Co-Pilot can significantly reduce incident response times and alert fatigue, enhancing operational efficiency.
  • The LM Cost Optimization tool can help businesses manage and reduce cloud spending, which is crucial in a down economy, providing a competitive edge.
  • The appointment of experienced leaders like Brooke Cunningham and Karthik Sj can drive strategic growth and innovation, further solidifying LogicMonitor's market position.

What critics are saying

  • The rapid integration of multiple AI tools may lead to complexity and potential usability issues for end-users.
  • The competitive landscape in observability and IT operations is intense, with major players like Splunk and Datadog posing significant threats.

What makes LogicMonitor unique

  • LogicMonitor's integration of generative AI into its observability tools, such as Edwin AI and LM Co-Pilot, sets it apart by offering advanced, interactive experiences for IT operations teams.
  • The LM Cost Optimization tool provides a unique value proposition by combining cost management with hybrid observability, addressing both cloud and on-premises infrastructure.
  • The company's focus on hybrid observability, powered by AI, allows it to cater to complex multi-cloud environments, distinguishing it from competitors who may focus solely on cloud or on-premises solutions.

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