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Honeycomb.io

Observability platform for cloud applications

Enterprise Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of full-cycle enterprise software-as-a-service selling experience, ideally in DevOps, observability, or cloud infrastructure.
  • Proven ability to land deals of $500,000 or more spanning multiple years and involving complex buying committees.
  • Ability to influence C-level stakeholders across technical and non-technical roles.
  • Expertise in discovery, storytelling, and consultative selling.
  • A track record of building champions and navigating enterprise buying cycles.
  • Experience using MEDDPICC, Command of the Message, or similar enterprise sales frameworks.

Responsibilities

  • Own and drive complex sales cycles lasting 6–12 or more months with Fortune 1000 and Global 2000 companies.
  • Build strategic, multi-threaded relationships across engineering, DevOps, observability, and procurement leadership.
  • Sell consultatively, bringing a deep understanding of customers’ businesses, technical landscapes, and buying processes.
  • Collaborate with Solutions Architects, Product, and Customer Success to shape high-value, tailored deals.
  • Deliver predictable pipeline growth, accurate forecasting, and exceed quota targets.
  • Represent Honeycomb at key industry events, conferences, and executive briefings.

Desired Qualifications

  • Experience in DevOps, observability, or cloud infrastructure enterprise selling.

About the Company

Honeycomb.io

Observability platform for cloud applications

Honeycomb.io provides a cloud observability platform for cloud applications. It collects telemetry data from applications and lets users query billions of events to understand performance and behavior. It uses Service Level Objectives (SLOs) to alert when customer experiences degrade, enabling teams to quickly debug issues. It offers tools like Query Builder, Query Assistant, and BubbleUp to analyze data and compare subsets against baselines. Its pricing is likely subscription or usage-based, charging based on data sent for analysis. The company differentiates itself by handling high-cardinality event data at scale with fast, flexible querying and by focusing on problem diagnosis and reliability for a wide range of customers. The goal is to help teams identify, debug, and optimize cloud applications to improve reliability and customer experience.

Company size
201-500
Company stage
Series D
Total funding
$146.9M
Headquarters
San Francisco, CA
Founded
2016

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