Builds AI and LLM observability capabilities across data ingestion, infrastructure, analysis, and product visualizations. The role develops systems surfacing cost, token usage, errors, and anomalies; contributes to data models; collaborates with product and design; and ships customer-facing SaaS features. Engineers participate in on-call rotation, experimentation, and fast feedback cycles, with opportunities to work on production LLM and agent-powered features.
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you.
What you’ll do in the role:- Deliver AI observability capabilities end to end, from ingestion to in-product visualizations.
- Contribute to the data model and infrastructure that let us observe agents and their ecosystems across the Honeycomb product.
- Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies.
- Collaborate with product and design partners to make sure what we build is usable, intuitive, and unlocks meaningful user workflows.
- Share what you learn about exploring and understanding AI system behavior across conversations and workloads.
- Iterate through fast feedback loops and experimentation, and share both wins and failures.
- 3+ years of software engineering experience.
- Experience shipping customer-facing features at a SaaS company, beyond internal tooling.
- Full-stack range, with proficiency in backend development (Go and/or Python) and frontend development (TypeScript and React).
- A track record of working with product managers and designers.
- Regular, hands-on use of AI tools in your day-to-day engineering work.
- Experience being on call. You'd join our rotation after about 90 days.
- A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the job.
- Bonus: Experience building LLM or agent-powered features in production.
- Bonus: Hands-on experience with observability tooling, such as OpenTelemetry.
Base Salary based on level of experience
$160,000—$180,000 USD
What you'll get when you join the Hive:
- A stake in our success - generous equity with employee-friendly stock program
- It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
- Time to recharge with unlimited PTO
- A distributed-first mindset and culture (really!)
- Home office, co-working, and internet stipend
- Full benefits coverage for employees, with additional coverage available for dependents
- Up to 16 weeks of paid parental leave, regardless of path to parenthood
- Annual development allowance
- And much more...
Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
- All communications will come from an @honeycomb.io email address
- We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—never personal accounts like Gmail or Yahoo.
- Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to:
- Social security or tax identification numbers
- Credit card numbers
- Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the Honeycomb Privacy Notice.
If you do not want us to retain your information, or want us to update it, please contact [email protected]. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Similar Jobs
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads the strategy, engineering, delivery, and operations of global enterprise infrastructure across networking, cloud platforms, on-premises systems, data centers, identity, and automation. Manages Network Engineering, Cloud Platform Engineering, and IT Infrastructure Engineering organizations; establishes service-management practices, resiliency standards, security controls, budgets, vendor relationships, and operational metrics. Partners with cybersecurity and business teams to deliver scalable, secure, cost-efficient infrastructure and leads major incident response and modernization initiatives.
Top Skills:
AiopsAWSBackup And RecoveryCi/CdCloud IdentityCloud NetworkingColocationComputeConfiguration ManagementData CentersDevOpsDisaster RecoveryEnterprise NetworkingFirewallsInfrastructure As CodeInfrastructure AutomationItilLoggingAzureMulti-CloudNetwork Access ControlNetwork SegmentationObservabilityRoutingSaseSd-WanStorageSwitchingVirtualizationVpnWanZero-Trust Network Access
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Design, build, and operate enterprise applications, APIs, integrations, and distributed event-driven systems using C#/.NET, React, cloud platforms, and messaging technologies. Integrate business systems, implement resilient architectural patterns, add AI capabilities, and support CI/CD, observability, security, and production troubleshooting. Collaborate with stakeholders and engineers, contribute to technical standards, lead projects when needed, and deliver reliable solutions across engineering, manufacturing, supply chain, and finance functions.
Top Skills:
.Net 6+AksApplication InsightsArenaArtifactoryAsp.Net CoreAWSAws GovcloudAzureAzure Container AppsAzure DevopsAzure GovernmentAzure Service BusBicepC#Claude CodeCostpointCqrsCursorDatadogDockerEksEntity FrameworkGitGithub CopilotGitlabGrafanaIpaasKafkaKubernetesMasstransitMicrosoft Entra IdMqttNist 800-218NservicebusOauth 2.0Openid ConnectOpentelemetryPostgresPythonRabbitMQRbacReactRest ApisSagaSonarqubeSQL ServerSsoTeamcenterTerraformTypescript
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Staff software engineer responsible for designing, building, and operating production authorization services. The role develops role-based, attribute-based, and policy-driven access controls; leads security reviews; builds cloud-native microservices and APIs; establishes engineering standards, observability, and deployment practices; mentors engineers; and supports critical systems through on-call rotations.
Top Skills:
Argo CdAzureAzure Key VaultDockerGithub ActionsGitopsGoGraph DatabasesHelmIamInfrastructure As CodeJavaJavaScriptKubernetesOauthOidcPythonRedisRelational DatabasesSpicedbSpring BootZanzibar
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
