Raspberry AI

AI Engineer

• 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.
• 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.
• 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).
• 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.

AI Growth Lead

Artificial Intelligence

• Lead compelling product demonstrations for prospective customers, showcasing how Raspberry AI supports real fashion workflows
• Partner with Sales during discovery calls to understand customer challenges, workflows, and business objectives
• Tailor demos and presentations to specific customer use cases across fashion design, DPC, product development, merchandising, and visual creation
• Serve as a trusted fashion and workflow expert during the evaluation process, helping prospects envision how Raspberry AI fits within their existing processes
• Conduct workflow discovery sessions with design, product development, merchandising, and creative teams
• Answer product, workflow, and technical questions throughout the sales process via live calls, email, Slack, or Loom
• Create customized demo assets, sample outputs, presentations, and use-case examples that resonate with prospective customers
• Gather and communicate customer feedback, objections, feature requests, and workflow insights to Product and Engineering teams
• Partner with Marketing and Sales to continuously improve demo narratives, messaging, and customer-facing materials
• Create and maintain demo environments, sales enablement materials, workflow examples, presentations, and internal documentation
• Stay current on Raspberry AI product updates and broader AI tools relevant to fashion and design workflows
• Represent Raspberry AI as a product and fashion expert during customer meetings, webinars, events, and industry conversations

Fashion AI Specialist

Implementation Specialist

• Lead customer onboarding and training sessions to help users get productive quickly in Raspberry AI
• Host office hours, follow-up sessions, and working sessions to support ongoing adoption
• Respond to customer questions and troubleshoot issues through the Support Desk, email, Slack, Loom, or live calls
• Help users understand how Raspberry AI fits into real fashion workflows (design, DPC, product development, visual creation, and presentations)
• Review customer usage and feedback to identify blockers, confusion, training gaps, and opportunities for improvement
• Escalate bugs, product issues, and customer pain points to Product and Engineering with clear context and examples (screenshots, repro steps, Looms)
• Create and maintain enablement resources: onboarding scripts, help docs, training decks, Loom videos, workflow guides, and internal SOPs
• Partner with Customer Success to support customer adoption, expansion, and long-term success
• Partner with Product and Engineering to share customer insights and improve the user experience over time
• Support internal teammates by answering product questions, documenting workflows, and contributing to team processes
• Stay current on Raspberry AI product updates and broader AI tools relevant to fashion and design workflows

AI Implementation Specialist

Product Marketing

• Develop and own core positioning and messaging framework, translate complex AI capabilities into clear narratives, partner with product to shape how new features are framed.
• Own GTM strategy and execution for product launches, define launch tiers and success criteria, build and manage cross-functional launch plans.
• Lead ongoing market research and ICP refinement, synthesize buyer insights into actionable frameworks, partner with customer success.
• Partner with content and demand gen teams to brief, review, and approve marketing content, develop thought leadership angles.
• Own competitive intelligence function, build and maintain battlecards, synthesize research into strategic recommendations.
• Own end-to-end product launches including go-to-market messaging, sales enablement materials, and content creation. Partner cross-functionally with product, sales, and design to ensure launches land with clarity and impact across all channels.
• Equip sales reps with localized materials, talk tracks, case studies, and competitive intelligence ahead of events and meetings
• Collaborate with sales on territory goals, messaging, and priorities to ensure field programs are tightly aligned with revenue objectives
• Attend customer-facing meetings and events when marketing presence adds value

Product Marketing Manager

Marketing

• Own end-to-end planning and execution of in-person and virtual events, including trade shows, conferences, roadshows, lunch-and-learns, and hosted executive dinners
• Manage event logistics: venue sourcing, vendor negotiations, booth design, staffing, catering, and post-event follow-up
• Build and maintain a calendar of New York-area events that keeps our brand consistently present in the market
• Track event ROI and report on pipeline influenced, leads generated, and revenue attributed to field programs
• Partner closely with the sales team to identify target accounts and tailor event and outreach strategies to move them through the funnel
• Develop and execute territory-based campaigns that complement field events and drive qualified pipeline

Field Marketing Specialist

Sales

• Lead, coach, and develop a team of Enterprise AEs, Strategic AEs, and BDRs to consistently exceed pipeline and revenue targets.
• Partner closely with the VP of Revenue to define and execute the company's enterprise sales strategy.
• Drive disciplined sales execution: pipeline management, forecasting, deal reviews, and quota attainment.
• Recruit, onboard, and ramp new sales hires as the team scales to 10–15 AEs.
• Build and iterate on playbooks, outbound motions, and sales processes that support repeatable, scalable growth.
• Work cross-functionally with Marketing, Product, and Customer Success to align on ICP, messaging, and expansion opportunities.
• Use data to identify performance gaps and coach individuals toward improvement.
• Represent the sales organization in leadership and planning discussions, including forecasting and pipeline reviews.

AI Growth Lead

Fashion AI Specialist

AI Implementation Specialist

Product Marketing Manager

Field Marketing Specialist

Head of Enterprise Sales