Senior Software Engineer (Agent Observability)

Honeycomb; Canada; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

100% covered medical, dental, vision, 

HSA, FSA, disability, and more

Unlimited PTO, sabbatical, and time to

paid sabbatical

401K retirement plans and fully paid

life insurance

Up to 16 weeks paid leave for parent/c

$10K to cover gaps in insurance for ad

$600 per year to spend on perks

A stake in our success

Generous new hire equity and refresh

Annual $1,500 development stipend; and

$500 new hire home setup stipend and $

co-working stipend $200/mo

Job summary

Honeycomb in Canada is hiring to build observability for AI-driven agents, cost tracking, and error analysis. You’ll work in a small, cross-functional team with a product manager and designer, shipping features used in production and surfacing AI-specific signals.

You’ll collaborate on data models and infrastructure to observe agents across the Honeycomb product, enabling meaningful user workflows. The role involves on-call contributions, fast experimentation, and close collaboration with

Qualifications

• 3+ years of software engineering experience.
• Experience shipping customer-facing features at a SaaS company.
• Experience being on call.

Responsibilities

• Deliver AI observability capabilities end to end, from ingestion to in-product visualizations.
• Contribute to the data model and infrastructure that observe agents and their ecosystems.
• Build systems that analyze and surface AI-specific signals such as cost, token usage, errors, and anomalies.
• Collaborate with product and design partners to ensure usability and meaningful user workflows.
• Share learnings about exploring and understanding AI system behavior across conversations and workloads.
• Iterate through fast feedback loops and experimentation, sharing wins and failures.

Skills

Software engineering

Go

Python

TypeScript

React

Observability

LLM/agent features

On-call experience

Cross-functional collaboration

Fast feedback loops

Tools

OpenTelemetry

Cloud tooling

Job description

• 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
• 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

Benefits

• 100% covered medical, dental, vision, HSA, FSA, disability, and more
• Unlimited PTO, synchronous company break, paid sabbatical, and expressed minimum for time to recharge
• 401K retirement plans and fully paid life insurance
• Up to 16 weeks paid leave regardless of path to parenthood; flexible hours for returning parents and caregivers
• $10K to cover gaps in insurance, in support of adoption, surrogacy, preservation, and family-planning costs
• $600 per year to spend on the perks you care for most
• A stake in our success
• Generous new hire equity, and refresh grants
• Annual $1,500 development stipend; funding for cognitive coaching; and a focus on career pathing
• $500 new hire home setup stipend and $200/mo for wifi, phone and co-working

A track record of navigating ambiguity in a fast-moving field where requirements shift and experimentation is a core part of the jobExperience shipping customer-facing features at a SaaS company, beyond internal toolingExperience being on call. You’d join our rotation after about 90 daysRegular, hands-on use of AI tools in your day-to-day engineering work3+ years of software engineering experienceBonus: Experience building LLM or agent-powered features in productionFull-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 designersBonus: Hands-on experience with observability tooling, such as OpenTelemetry