Raspberry AI Jobs Hiring Now

INTRODUCTION

Raspberry AI is a generative AI design platform built for fashion brands and retailers. We help design, merchandising, and product development teams move faster — from concept to market-ready assets — using industry-leading AI. Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We closed $24 million in Series A from a16z, plus $5 million in seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include the REVOLVE and Reformation founders and the President of Saks Fifth Avenue.

ABOUT THE ROLE

We're hiring a Marketing Engineer to build the agents, automations, and systems that power Raspberry's entire marketing engine — and to own the growth and product-marketing outcomes those systems drive. This is not a traditional marketing role, and it's not a pure engineering role. You'll sit at the intersection of marketing strategy and technical execution: designing the positioning, running the demand-gen programs, and building the engineering layer beneath it all — autonomous agents, programmatic workflows, real-time data pipelines, and scalable infrastructure that turn marketing into a system. Every major shift in how people discover and buy has added work for marketing; headcount grows linearly while the to-do list grows exponentially. We're betting on a different model: someone with the marketing judgment to know what's worth building and the technical skill to build it, so the team does more, better marketing without simply adding more people. You'll accelerate the existing playbook by automating the repetitive parts, then invent capabilities that didn't exist before. This is a builder's role. You'll set up the systems, run the campaigns, prove what works, and scale it. You'll fix any problem you see — demand gen, positioning, content, lifecycle, web, events — not just the ones in a job description. If that's not how you operate, this isn't the role.

Build the marketing engine:

- Build marketing agents and automations for repetitive, time-sensitive workflows — content drafting, lead follow-up, sentiment monitoring, campaign reporting, and competitive tracking.
- Own the marketing data infrastructure: connect campaign performance, attribution, AI-citation tracking, and pipeline impact into dashboards and reporting that stay accurate and actionable.
- Architect publishing and distribution systems — integrations across CMS, data sources, and channels — so content moves from creation to distribution with minimal manual intervention.
- Instrument brand presence in LLMs and search: structured data, schema markup, and content architecture that increase visibility and citation frequency across traditional search and AI-generated answers (AEO).
- Codify what works into templates, scripts, and repeatable playbooks; run disciplined experiments and treat each deployment as a hypothesis.

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, and turn research into strategic recommendations (ideally via agents that catch competitive shifts in real time).

Enable sales:

- Equip sales reps with materials, talk tracks, case studies, and competitive intelligence ahead of events and meetings.
- 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.

WHO YOU ARE

- 7+ years across growth/demand generation and/or product marketing, ideally at a high-growth B2B SaaS or AI company; fashion/retail/creative tech a plus.
- A proven track record building demand-gen programs that drove measurable pipeline, and developing positioning and messaging that drives it.
- Hands-on with demand-gen channels (paid search/social, email, webinars, ABM) and the tooling behind them (marketing automation, CRM, attribution); experience with CRM platforms (i.e.g, Salesforce or HubSpot).
- Comfortable builder who has taught themselves or learned how to build data pipelines, automated workflows and other key AI-first workstreams.
- Interest in working with AI agents and LLM-powered tooling, and familiarity with how search engines and AI models discover, index, and surface content.
- A systems thinker who prioritizes scalable solutions over one-off execution, and who's willing to challenge assumptions and test ideas with evidence rather than defaulting to best practices.
- Strong analytical instincts; comfortable owning a number and reporting on it honestly.
- A bias toward action and ownership, energized by building from zero and comfortable with ambiguity.
- A true business partner to sales; highly organized, able to run multiple programs under tight deadlines, with excellent written and verbal communication.
- Based in or willing to relocate to NYC.

HOW WE WORK

- 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.

WHAT WE OFFER

- 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.

LOCATION

New York, NY (Hybrid)

JOB TYPE

Full-Time