Raspberry AI

Customer Success Manager

• Own long-term relationships and commercial outcomes for a portfolio of fashion brands and retailers, including renewals, retention, and expansion.
• Drive strategic conversations with key decision-makers to help them maximize value from Raspberry AI.
• Manage the full post-sale lifecycle, ensuring seamless renewals and identifying upsell opportunities to expand platform usage.
• Partner with customer teams to define success metrics, create onboarding and adoption plans, and drive usage across their organizations.
• Guide brands in integrating Raspberry into design and merchandising workflows, ensuring measurable ROI.
• Facilitate regular business reviews to align on goals and uncover growth opportunities.
• Monitor account health and product usage, proactively engaging customers to drive deeper adoption of key features.
• Accurately maintain customer information and interactions within our CRM, track key success metrics (e.g., usage, satisfaction), and identify churn risks early while leading resolution efforts.
• Work closely with Product, Engineering, and Support to surface feedback, influence the roadmap, and ensure timely resolution of issues.
• Collaborate with Sales to align on account strategy, pricing conversations, and long-term growth.
• Participate in team meetings and contribute to the ongoing improvement of account management processes and strategies. Develop resources (e.g., FAQs, knowledge base articles, customer case studies) and share them with relevant customers.

Product Manager

• Own end-to-end product management for core features across our platform
• Define and document product requirements for AI- and ML-powered capabilities
• Daily collaboration with engineering and ML teams to scope and sequence technical roadmaps
• Collaborate with designers, product specialists, and customer success to translate user feedback and usage data into actionable product improvements
• Partner with the CTO to enhance our custom model training workflows
• Prioritize features that drive adoption, engagement, and design outcomes for fashion teams
• Leverage Amplitude and internal analytics tools to surface insights and inform product prioritization
• Communicate product vision, KRs, updates, and outcomes clearly across internal stakeholders

Senior Product Manager

Account Executive

• Own the full sales cycle: prospect → qualify → demo → negotiate → close → expand.
• Develop multi-threaded relationships across Marketing, Innovation, IT, and Procurement.
• Craft ROI-driven executive narratives and business cases.
• Run 3–6 month cycles with focus on annual contracts, expansion, and retention.
• Build creative pipeline through outbound, phone, events, and social proximity—not just sequences.
• Collaborate with Product, CS, and Marketing on account strategy.

Strategic Account Executive

Machine Learning Engineer

• Conduct applied research and experimentation on state-of-the-art diffusion model architectures and training techniques.
• Implement and evaluate novel techniques for improving quality and controllability in generated designs.
• Analyze and interpret experimental results, draw meaningful conclusions, and communicate findings effectively.
• Collaborate closely with the team to translate prototypes into production-ready systems.
• Stay abreast of the latest advancements in diffusion models, deep learning, and generative AI research.

Senior Machine Learning Engineer

Principal Machine Learning Engineer

• Create customer success strategy for enterprise customers
• Drive segmentation strategy for enterprise accounts
• Build playbooks to maximize pilot conversion, value realization, onboarding, user engagement, and user adoption
• Establish strong relationships with enterprise clients
• Own pilot success plans and develop frameworks to convert pilots into contracts
• Partner with Sales to shape deal structure and success metrics
• Lead quarterly business reviews (QBRs) and align executive support
• Build and lead a world-class Customer Success team
• Serve as the voice of the customer to cross-functional teams

Customer Success Manager

Senior Product Manager

Strategic Account Executive

Senior Machine Learning Engineer

Principal Machine Learning Engineer

Head of Customer Success