Jobs at Honeycomb.io

Support product marketing for Honeycomb’s observability products through messaging, positioning, launches, content, sales enablement, competitive intelligence, customer research, and performance measurement. The role partners across Product, Marketing, Sales Engineering, and Customer Success, creates technical customer-facing materials, coordinates launches, and translates complex product capabilities into accurate, useful messaging for engineers and platform teams.

Develop and execute product marketing for Honeycomb’s observability products, including messaging, positioning, launches, content, sales enablement, competitive intelligence, customer research, and performance measurement. Partner cross-functionally with Product, Marketing, Sales Engineering, and Customer Success to improve the technical buyer journey and support business growth. The role requires strong technical writing, project coordination, data-driven decision-making, and practical use of AI tools.

Owns product strategy and roadmap for Honeycomb’s AI-powered observability experiences, including Canvas, agentic investigations, Skills, and MCP. The role combines customer research, AI/ML trend analysis, strategic prioritization, cross-functional collaboration, product innovation, and technical evangelism. The successful candidate will ship AI features, guide portfolio-wide AI adoption, communicate trade-offs, and articulate Honeycomb’s perspective on AI observability to customers and technical communities.

Owns product strategy and roadmap for Honeycomb’s AI-powered observability experiences, including Canvas, agentic investigations, Skills, and the MCP server. The role combines customer research, AI/ML trend analysis, cross-functional product leadership, feature delivery, and external thought leadership. The manager will guide AI adoption across the product portfolio, evaluate technical approaches, and translate emerging customer and engineering needs into impactful product investments.

Manage US, Canada, UK, and global Employer of Record payroll operations; validate payroll data, process special payments, maintain compliance, audit tax records, reconcile payroll accounts, prepare journal entries, and support financial audits. Administer payroll and expense systems, maintain employee and benefits data, produce payroll reports, document controls, analyze payroll expenses, and respond to employee inquiries while collaborating with HR and Finance.

Build full-funnel reporting connecting marketing activity to sales opportunities and revenue. Define attribution and shared metrics, improve lead scoring and Salesforce workflows, measure campaign ROI, and create executive dashboards in BI tools. Analyze data to uncover insights and support forecasting across marketing, sales, customer success, and revenue operations. The role requires strong analytical, marketing, stakeholder management, and SaaS experience, with curiosity about AI.

Lead delivery and growth of Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer engagements, and cross-organizational engineering priorities. Build and develop a senior engineering team, maintain operational health and on-call practices, support enterprise security and procurement processes, and scale the product for increased demand. The role requires Kubernetes and AWS fluency, customer-facing leadership, strong prioritization, and experience operating software in private cloud, on-premises, or similar environments.

Lead the delivery of AI-powered workflows across go-to-market, support, and business operations. Partner with business leaders to identify opportunities, build production systems with evaluation and monitoring, establish reusable AI infrastructure and governance patterns, and drive adoption through documentation, training, and enablement. Collaborate with Data, Engineering, Security, IT, and Legal on scalable, safe AI deployment, data handling, access controls, and compliance.

Leads the deployment of AI-powered workflows across business functions, transforming manual processes into measurable, production-ready systems. Partners with department leaders and Engineering to build automation, evaluation, monitoring, governance, and shared AI infrastructure. Develops templates, playbooks, training, and enablement to increase adoption while ensuring security, privacy, compliance, and responsible data use. Requires strong hands-on AI fluency, cross-functional leadership, workflow expertise, and the ability to teach complex concepts clearly.

Lead the engineering team responsible for Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer deployments, and enterprise support. Partner across engineering, sales, field engineering, and support; prioritize roadmap tradeoffs; maintain operational health; and grow the team through hiring and onboarding. The role requires technical leadership across Kubernetes and AWS, customer-facing collaboration, production on-call experience, and software delivery in private cloud, on-premises, BYOC, or managed single-tenant environments.

Build and maintain production-grade AI agents that investigate, reason over, and act on high-cardinality observability data in Honeycomb Canvas. Own agent development from prototype through production, including evaluation frameworks, performance, reliability, memory, spatial awareness, and full-stack integration. Extend Canvas, the MCP server, and Canvas Skills while applying product judgment to define future agent capabilities.

Design and implement high-quality storage and query infrastructure for billions of events. Independently scope and deliver complex projects, improve performance and reliability, support production systems through on-call rotations, and reduce operational toil. Collaborate with Product Management and engineering teams, mentor peers, debug critical issues, define KPIs and SLOs, and drive foundational technical improvements across the organization.

Own full-cycle recruiting for technical and R&D roles, managing priority requisitions from intake through offer acceptance. Advise hiring managers on search strategy, leveling, compensation, and funnel data; build structured interview processes; maintain ATS data and hiring SLAs; improve diversity sourcing, candidate experience, and recruiting operations. Partner with R&D leadership and the Head of Talent Acquisition in a fully remote, high-growth technology environment.

Drive new business with global enterprise customers by managing full-cycle sales, developing executive relationships, creating account strategies, and closing complex multimillion-dollar deals. The role requires consultative selling, MEDDPICC qualification, multi-threaded campaigns, strategic account planning, accurate forecasting, and collaboration with Sales Engineering, Marketing, Customer Success, and leadership. The position is fully remote and focused on observability software, cloud infrastructure, and developer tooling markets.

Own complex enterprise SaaS sales cycles with Fortune 1000 and Global 2000 companies. Build multi-threaded relationships across technical, executive, and procurement stakeholders; conduct consultative discovery; collaborate with Solutions Architects, Product, and Customer Success; grow pipeline; forecast accurately; exceed quotas; and represent Honeycomb at industry events. The role requires landing large multi-year deals and navigating complex enterprise buying committees.

Own complex enterprise SaaS sales cycles with Fortune 1000 and Global 2000 companies. Build multi-threaded relationships across technical and procurement leadership, sell consultatively, collaborate with Solutions Architects, Product, and Customer Success, grow pipeline, forecast accurately, exceed quotas, and represent Honeycomb at industry events. The role requires closing large multi-year deals and navigating complex enterprise buying committees.

Design, implement, and support high-performance storage and query infrastructure handling billions of events. Independently scope and deliver complex projects, optimize query performance, improve reliability, participate in on-call rotations, define KPIs and SLOs, reduce operational toil, debug production issues, collaborate cross-functionally, and mentor engineers.

Design, build, and operate production-grade LLM-based agents that investigate, reason, and act on live observability data inside Canvas. Own agent features end-to-end from prototype to production, extend Canvas and backend surfaces (MCP server, Skills, memory), improve agent performance and evals, and set measurable definitions of agent quality. Collaborate on fullstack work and prioritize agent designs that leverage Honeycomb's high-cardinality datastore.