Little more about the team:

Product marketing at Honeycomb is a small team with a wide surface area. We decide how Honeycomb is positioned, what we say at launch, what the sales team brings into a deal, and how an engineer who has never heard of us understands the product in the first two minutes. Because the team is small, the work is broad: in one week you might rewrite a product page, build a competitive one-pager, interview a customer, and run the launch checklist for a new feature.

This role is built for someone early in a product marketing career who wants to systematically improve the customer buying journey. As a product and messaging expert, you will partner with go-to-market teams to drive business impact through sales and marketing campaigns. You will get real ownership of real launches, and you will have senior product marketers, a technical field team, and engineers who like explaining their work close at hand. Our audience is engineers and platform teams, so the bar is accuracy first: we would rather be precise and useful than clever.

What you’ll do in the role:

You will support and execute product marketing across Honeycomb's core products, with a generalist mix of messaging, launches, content, enablement, and competitive work. Expect to start by contributing to pieces of each and to own more of them over your first year.

Responsibilities

• Messaging and positioning: Write and maintain messaging for features and product areas, from the one-sentence version an engineer reads on a web page to the slide a sales engineer uses in a technical conversation. Keep it accurate and grounded in what the product actually does.
• Launches: Run launch execution for small and mid-sized releases and support the larger ones. Build the plan, write the assets, coordinate Product, Marketing, Sales Engineering, and Customer Success, and report on how the launch performed.
• Content: Produce the practical material that helps people evaluate and adopt Honeycomb: blog posts, solution briefs, web copy, demo scripts, FAQs, and customer-facing one-pagers.
• Sales enablement: Equip the field with what they need to run a good conversation, including pitch narratives, objection handling, battlecards, and release updates. Join customer calls, listen to recorded ones, and fix the material that isn't landing.
• Competitive and market intelligence: Track the observability market and competitor moves. Maintain competitive assets and keep them current and honest, so the field trusts them.
• Voice of customer and proof points: Talk to customers and prospects, turn what you hear into case studies, quotes, and proof points, and bring the patterns back to Product and Marketing.
• Measurement: Help define what success looks like for your work, pull the data, and share what you learn, including the things that didn't work.

What you’ll bring to the role:

• 2 to 5 years of experience in product marketing, or in a closely adjacent go-to-market role such as content marketing, sales engineering, technical writing, developer relations, or product management, with at least some of it in B2B SaaS.
• Strong writing. You can take a dense technical explanation and turn it into something short, accurate, and useful, and you can tell the difference between the two yourself.
• Curiosity about technical products and the patience to learn how they work. You ask engineers questions until you actually understand the answer, and you are comfortable in a product that assumes a technical user.
• Passion about the team winning: Sales, marketing, and product teams will depend on you to succeed. Their success is your success, but you’re not simply an order taker: you look for the smart solutions and don’t wait to be asked.
• The ability to run a project across teams without formal authority: setting a timeline, chasing the open items, and telling people clearly when something has slipped.
• Comfort with ambiguity and a bias toward shipping. Our priorities move, the team is small, and the best work here comes from people who start rather than wait for a brief.
• Willingness to use data to decide and to evaluate your own work honestly.
• Demonstrated experience applying AI tooling in your work.

Nice to have

• Exposure to observability, developer tools, distributed tracing, OpenTelemetry, platform engineering, or reliability and SLO practices. We will teach this, but a head start helps.
• Experience marketing to engineers as the primary audience.
• Hands-on familiarity with AI and LLM tooling, including coding agents and MCP-based workflows.
• Experience with webinars, conference talks, or community programs.
• Experience working in a fully distributed company.