Responsibilities

• Build the marketing engine
• Shadow marketing and GTM functions to identify high-leverage systems to build from scratch, leaving only the decision points where human judgment matters
• Decompose marketing and growth workflows into their component parts — the tools, data sources, outputs, conditions that need a human, and checks that catch when something's gone off track — and direct the build (in-house or with engineering/no-code support)
• Ship full pipelines, not demos — a system isn't done until it's adopted by the team, handles edge cases, and reflects Raspberry's voice, brand, and positioning
• Build evaluation frameworks that measure agent output, surface quality issues, and tie clearly back to marketing and pipeline KPIs
• Build the search and AI visibility infrastructure — structured data, schema markup, and the systems that monitor how Raspberry's content and positioning show up in AI-generated answers
• Invent capabilities the team doesn't have yet — a competitive-intel agent that updates battlecards in real time and flags shifts before the next sales call, a system that turns every customer story into distribution-ready content, a sentiment-monitoring pipeline across customer and market signals
• Own the marketing data infrastructure: connect campaign performance, attribution, and pipeline impact into dashboards and reporting that stay accurate and actionable
• Codify what works into templates, scripts, and repeatable playbooks; run disciplined experiments and treat each deployment as a hypothesis
• Multiply the rest of the team with enablement — document your builds, share walkthroughs, and make your systems usable by marketing and sales without you in the loop

Requirements

• 4+ years across growth/demand generation, product marketing, marketing operations, or a similar role combining marketing strategy with hands-on systems building; ideally at a high-growth B2B SaaS or AI company (fashion/retail/creative tech a plus)
• Have shipped internal tools or systems that a team fully adopted and used to move real marketing or pipeline metrics
• A proven track record building demand-gen programs that drove measurable pipeline, and developing positioning and messaging that drives it
• Comfortable operating in ambiguity — you don't wait to be told what to build next; you have the marketing instincts to know what's valuable and the resourcefulness to make it happen
• Hands-on, practical experience with AI tools and no-code/low-code platforms (e.g., Claude, ChatGPT, Zapier, Make, or similar) to design and stand up automations and workflows yourself — no coding background required
• Hands-on with demand-gen channels (paid search/social, email, webinars, ABM) and the systems behind them — marketing automation, CRM (e.g. Salesforce or HubSpot), ESPs, attribution
• Familiarity with how search engines and AI models discover, index, and surface content
• Strong analytical instincts; comfortable owning a number and reporting on it honestly

Benefits

• Innovative culture: a generational opportunity to define the role of AI in one of the world's largest industries
• Growth paths: opportunities to drive impact well beyond your immediate role as the company scales
• Learning & development: annual discretionary stipend for professional development
• Annual company offsite that brings the whole team together
• Competitive salary and equity options (Salary range: $140,000 - $180,000 USD)
• Comprehensive benefits package including health, dental, and vision insurance