Demand Generation Specialist | Canada | Remote

Opportunity

We’re looking for an experienced, AI-native demand generation specialist to own our lifecycle and nurture programs — the strategic engine driving users from awareness to adoption and expansion across Grafana’s growing user base. This role sits at the intersection of AI-driven program evolution, multi-channel execution, and business impact. The right candidate brings deep experience, a genuine AI-native working style, and the strategic instinct to connect their work to what the business cares about most.

What You’ll Be Doing

• Own AI-Driven Nurture Program Expansion – Lead the strategy and evolution of AI-powered nurture programs, identifying opportunities to deepen engagement, improve conversion, and expand pipeline attribution across the funnel. AI is the core operating layer.
• Multi-Channel Execution with AI Integration – Own strategy and execution for lifecycle campaigns across email nurture, website personalization, and paid channels with AI workflows embedded throughout. You build programs where AI handles scale and you handle judgment.
• Data Analysis & Attribution – Conduct complex campaign analysis using both traditional analytics tools and AI-assisted analysis. Translate findings into clear recommendations for GTM leadership. You define what we measure and why, including how influence traces across OSS adoption, self-serve trials, and enterprise pipeline.
• Cross-Functional Ownership – Partner with Sales, SDRs, content, and creative to drive alignment and own shared outcomes – not just your lane. You build relationships, enable other teams, and hold the result accountable across org lines.

What Makes You a Great Fit

• 3+ years of experience in B2B SaaS demand generation or growth marketing, ideally within a technical product or developer-focused environment.
• Demonstrated experience owning a program end-to-end – from ideation and strategy through launch, reporting, and continuous optimization.
• Active AI tool usage: you’ve built workflows, automated processes, or designed AI-assisted programs – not just used AI for content drafts.
• Strong data literacy and attribution capability – you conduct complex analysis across a PLG + commercial motion, develop attribution models, and advise on analytics strategy, connecting OSS adoption, self-serve cloud trials, and enterprise pipeline signals into a coherent view of program impact.
• Clear, confident communicator with marketing and GTM leadership. You translate program performance into business narrative and hold a point of view when challenged, in live conversations and async updates.
• Deep proficiency across core lifecycle channels – email nurture, website optimization, paid media – with demonstrated ability to layer AI workflows and automation on top of established channel fundamentals.
• Fluency with technical audiences – you understand how technical practitioners and developer teams evaluate, adopt, and expand product usage. You can connect lifecycle program execution to the buying motion of a developer-focused, PLG-led product, and translate that context into messaging and strategy decisions.

Bonus Points For

• Hands‑on experience with Claude Code.

Compensation

In Canada, the base compensation range for this role is CAD 77,989 – CAD 93,587. Actual compensation may vary based on level, experience, and skill set as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success.

Equal Opportunity Employer

We will recruit, train, compensate, and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Recruitment Process Note

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.