Raspberry·28 days ago
Remote (NY Preferred) · Full-Time · Marketing
We are a Series-A (backed by A16Z), AI platform built for fashion brands and retailers. We are the connective tissue between design, product development, merchandising, marketing, ecommerce and wholesale teams. We help them move faster from concept to market-ready assets — using industry-leading AI. Some of the world's top fashion brands (LVMH, Rag & Bone, Under Armour, TJX, Levis, Kate Spade, etc.) rely on us to streamline their workflows and accelerate product development.
We're hiring an Growth Marketing Engineer to build the AI systems that run Raspberry's entire marketing engine — and to own the growth and product-marketing outcomes those systems drive.
This role sits inside marketing, working side-by-side with every function — demand gen, brand, content, sales — to improve not just the speed but the quality and scale of what we do. You'll architect tooling at the systems level to automate at the campaign level, and you'll own the growth motion those systems power: positioning, demand generation, and go-to-market execution.
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
Be the first adopter of AI at Raspberry — consistently incorporate new tools and models, and revisit previous builds to see how they benefit from advances in the space
Own growth and demand generation
Build and scale Raspberry's demand generation function — multi-channel campaigns across paid, email, webinars, and content syndication that drive qualified pipeline
Own the full funnel from lead capture to MQL to pipeline, partnering closely with sales on handoff, scoring, and conversion
Plan and run field marketing — industry events, dinners, conferences, and targeted regional activations (especially in fashion/retail hubs) that generate and accelerate pipeline
Manage budget and external vendors/agencies, making sharp calls on where to spend
Own positioning and go-to-market
Develop and own the core positioning and messaging framework; translate complex AI capabilities into clear narratives, and partner with product to shape how new features are framed
Own GTM strategy and execution for product launches — define launch tiers and success criteria, and build and manage cross-functional launch plans across product, sales, and design
Lead ongoing market and customer research and ICP refinement; synthesize buyer insights into actionable frameworks
Own competitive intelligence — build and maintain battlecards, ideally via agents that catch competitive shifts in real time, and turn research into strategic recommendations
Collaborate with sales on territory goals, messaging, and priorities so field programs stay tightly aligned with revenue objectives
Attend customer-facing meetings and events when marketing presence adds value
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
Be an owner: We take responsibility for outcomes, not just tasks. We don't wait for permission — we step up, move fast, and hold ourselves accountable to results.
Bias to solution: We go beyond identifying problems to actively unblocking ourselves and others.
Customer obsession: Everything we build starts with the customer. We listen deeply, move quickly, and obsess over delivering tools that make their work faster and more creative.
Lowest level of detail: We're not afraid to get in the weeds. Great work comes from people who notice what others miss and ask deeper questions.
1% better every day: Progress compounds. We stay curious, ask for feedback, and look for the small improvements that make tomorrow better than today.
AI first: We use AI across the entire company — from product to growth to operations — to move faster and produce higher-quality work. This role is the sharpest expression of that.
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