AI Growth Lead

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.

Responsibilities

• 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.

Requirements

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.