Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
ChatGPT @ 4
Communication @ 9
Grafana
Marketing @ 4
Observability
Product Management @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Grafana Labs is seeking a tech-forward product marketer to grow its observability products through product positioning, messaging, campaigns, content, events, and training. The role owns messaging and positioning for a broad product area and partners closely with product managers, engineering, and go-to-market teams to help customers adopt Grafana products.
Product Marketing operates within the Product organization and focuses on teaching product managers and engineers about growth and demand, as well as codifying product marketing knowledge into AI-forward tools and processes. The role combines strategic planning, teaching, and hands-on execution, including blogs, webinar outlines, video scripts, enablement materials, and product information.
Responsibilities
- Partner with and teach product managers to define product value, messaging, and go-to-market strategy.
- Develop competitive positioning and sales enablement collateral.
- Work with product management, engineering, and go-to-market teams to create reference architectures, implementation guides, and detailed product information.
- Own customer lifecycle campaigns covering competitive positioning, retention, upsell, and cross-sell.
- Conduct market and customer research to understand pain points, competition, and opportunities.
- Train go-to-market and sales teams on product capabilities and value.
- Deliver enablement that helps customer-facing teams engage effectively with customers, partners, and prospects.
- Lead product and feature launches both autonomously and collaboratively.
- Analyze campaign performance and lifecycle metrics to make data-driven recommendations.
Requirements
- 4+ years of relevant experience in product marketing, solutions marketing, or product management.
- Experience marketing and selling to a technical audience.
- Passion for open source, cloud-native, and infrastructure technologies.
- Proven ability to manage complex projects from start to finish.
- Ability to clearly articulate the value of technical products to customers and sellers.
- Experience leading product or feature launches.
- Experience using AI tools such as ChatGPT and Claude to automate messaging and workflows.
- Comfort working with diverse internal and external stakeholders in complex processes.
- Strong product and technical curiosity, with the ability to create clear packaging, positioning, and messaging.
- Demonstrated quantitative and analytical skills for campaign and lifecycle metric analysis.
- Exceptional writing and communication skills.
- Strong execution and delivery skills.
Benefits
- 100% remote global culture.
- Restricted Stock Units (RSUs).
- Career growth pathways.
- In-person onboarding.
- Global annual leave policy of 30 days per annum, including 3 Grafana Shutdown Days, subject to local legislation.
Grafana Labs is an equal opportunities employer. The company may use AI tools in its recruitment process to assist with matching CV information to job postings, while recruitment staff continue to manually review applications.