Define and continuously refine messaging and positioning for products and features, ensuring clarity and consistency across all channels and audiences.
Lead end-to-end GTM strategy for product launches, from naming and positioning through enablement, campaign orchestration, and post-launch measurement.
Own analyst relations completely, including managing relationships with firms like Gartner and Forrester, coordinating briefings and inquiries, responding to research requests, and ensuring is accurately and favorably represented in relevant reports and evaluations.
Conduct win/loss interviews, competitive analysis, and customer research to sharpen positioning and keep the team ahead of market shifts.
Develop high-quality sales and customer-facing materials, including pitch decks, one-pagers, battlecards, and technical explainers.
Collaborate closely with Product, Sales, DevRel, and Content to ensure a unified narrative across the funnel.
Act as the voice of the market in roadmap planning, pricing discussions, and strategic initiatives.
Identify opportunities to incorporate AI tools into content creation, competitive research, and campaign workflows to increase speed and quality of output.
Track and report on PMM impact across pipeline influence, win rates, analyst positioning, and content usage.
Requirements: 4-6 years of B2B SaaS product marketing experience; devtools, infrastructure, or cloud experience is a strong plus.
Proven ability to translate complex technical concepts into strategic business narratives that resonate with both technical and executive audiences.
Exceptional writing and storytelling skills, with a developer-savvy tone and strong instincts for what lands with infrastructure buyers.
Experience owning product launches end-to-end, with a track record of driving measurable pipeline impact.
Hands-on experience managing analyst relations, including briefings, inquiries, and report participation with major firms.
Comfortable operating in a high-growth startup environment with a high degree of autonomy.
Deep knowledge of Kubernetes, cloud cost, or the DevOps ecosystem is required.
Curiosity about AI tools and how they can accelerate research, content, and go-to-market execution.
This position is open to all candidates.