
Job Overview
Location
Remote - United States
Job Type
Full-time
Category
Software Engineering
Date Posted
April 14, 2026
Full Job Description
đź“‹ Description
- • As a Staff Solution Architect at Honeycomb Inc., you will drive technical strategy on the company's largest and most complex deals, partnering with Strategic AEs and Sales Leadership to shape major customer decisions and influence go-to-market strategy.
- • Day to day, you will lead discovery, solution design, and executive conversations; own the technical win by guiding POCs and competitive bake-offs; advise engineering leaders on AI-era observability; turn complex customer environments into clear architectures; leverage AI tools; get hands-on with instrumentation and issue resolution; build scalable technical content and demos; deliver impactful presentations; collaborate across Sales, Product, Marketing, Field Engineering, and DevRel; bring field signals back to shape product direction; and mentor peers while modeling judgment and autonomy.
- • Honeycomb is a fully distributed, Series D-funded observability platform serving companies like HelloFresh, Slack, LaunchDarkly, and Vanguard. Named to Forbes’ America’s Best Startups of 2022 and 2023, the company values impact, culture, inclusion, and responsibility, operating with trust, autonomy, and accountability from Day 1.
- • In this role, you will deepen your expertise in enterprise technical selling, shape product direction through field feedback, build reusable assets and thought leadership, mentor peers, and illustrate a clear path to broader leadership while helping customers modernize their observability and AI-assisted workflows.
Skills & Technologies
About Honeycomb Inc.
Honeycomb provides observability and debugging tools for modern software systems. Its platform ingests high-cardinality event data, letting engineers query traces, logs, and metrics interactively to resolve production issues faster. The company serves cloud-native and microservice architectures, focusing on developer-centric workflows, distributed tracing, and real-time analytics to improve system reliability and performance.
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