Product Marketing Manager
New
H
HoneycombObservability software
Remote - United StatesFull-TimeManager
Salary125,000 - 190,000 USD per year
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Job Details
- Experience
- 2 to 5 years of experience in product marketing, or in a closely adjacent go-to-market role
- Required Skills
- Project ManagementData Analysis
Requirements
- Have 2 to 5 years of experience in product marketing or a closely adjacent go-to-market role.
- Have at least some experience in B2B SaaS.
- Write clearly, turning dense technical explanations into concise, accurate, useful material.
- Be curious about technical products and willing to learn how they work.
- Run cross-team projects by setting timelines, tracking open items, and communicating delays.
- Be comfortable with ambiguity and able to move work forward without waiting for a brief.
- Use data to make decisions and evaluate work honestly.
- Demonstrate 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.
- Nice to have: experience marketing to engineers as the primary audience.
- Nice to have: familiarity with AI and LLM tooling, including coding agents and MCP-based workflows.
- Nice to have: experience with webinars, conference talks, community programs, or fully distributed companies.
Responsibilities
- Write and maintain accurate messaging for product features and areas.
- Run launch execution for small and mid-sized releases and support larger launches.
- Build launch plans, create assets, coordinate teams, and report on launch performance.
- Produce blog posts, solution briefs, web copy, demo scripts, FAQs, and customer-facing one-pagers.
- Equip sales teams with pitch narratives, objection handling, battlecards, and release updates.
- Join customer calls and review recordings to improve sales materials.
- Track the observability market and competitor activity, and maintain competitive assets.
- Interview customers and prospects and turn insights into case studies, quotes, and proof points.
- Help define success measures, analyze data, and share results.
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