We bring the best industry-leading generative AI capabilities to fashion product development.
Innovative
We thrive at the forefront of AI, pursuing ambitious goals through iterative progress and rapid adaptation. We embrace continuous learning and experimentation, fostering a culture of growth and innovation.
Collaborative
We value open communication, constructive feedback, and mutual support. We operate with a "low ego" approach where everyone's contributions are valued, and team success takes precedence. We encourage direct and respectful interaction among colleagues, fostering a collaborative and inclusive environment where diverse perspectives drive AI breakthroughs.
Customer-Centric
We are deeply customer-obsessed and prioritize delivering exceptional AI-powered solutions. We empower our team to take ownership of their work and focus on practical implementation over excessive documentation. We strive for excellence in everything we do, ensuring impactful results that exceed customer expectations and advance the field of AI.
Customer Success Manager
About Raspberry AI
Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes.
We recently closed $24 million in Series A from a16z, plus seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue. For more information, visit raspberry.ai.
Responsibilities
- Onboarding and Training: Assist new customers with the onboarding process, including guiding them through initial setup, product training, and best practices to ensure a smooth and successful start. Serve as the first line of support for customer inquiries, troubleshooting basic technical issues, and escalating more complex problems to the appropriate teams (e.g., Support, Product)
- Designing value realization: Work closely with key decision makers to design proper timelines, goals and KPIs to help them realize value from their use of the platform. Guide KDMs think through design calendars, set up and perform key analysis
- Proactive Customer Engagement: Regularly communicate with customers through various channels (email, phone, potentially in-app messaging) to understand their needs, provide value, and build rapport
- Meticulous Customer Tracking: Accurately and diligently update customer information and interactions within our CRM system, track key customer success metrics (e.g., usage, satisfaction). Monitor customer usage patterns and identify opportunities to encourage greater product adoption and ensure they are leveraging key features effectively. Identify at-risk customers, proactively taking steps to mitigate churn. Proactively solicit customer feedback on their experience, product usability, and feature requests, and relay this information to the Product and Sales teams
- Contributing to Customer Success Initiatives: Participate in team meetings and contribute to the development and improvement of customer success processes and strategies. Contribute to the development of helpful resources (e.g., FAQs, knowledge base articles, customer user stories) and share with the relevant customers
- Identifying Upsell and Cross-sell Opportunities: Recognize opportunities to expand customer relationships by identifying potential needs for additional features or products and collaborating with the Sales team
Qualifications
- Bachelor's degree or equivalent relevant experience
- ~3-4 years of experience in a customer-facing role, preferably in a strategy consulting and/or SaaS environment
- Excellent written and verbal communication skills, with the ability to explain technical concepts clearly and concisely
- Ability to learn quickly and adapt to changes
- Strong problem-solving and analytical skills, with the ability to diagnose and resolve customer issues effectively
- Highly organized and detail-oriented, with the ability to manage multiple tasks and prioritize effectively
- Empathetic and customer-centric approach with a genuine desire to help customers succeed
- Proficiency in using CRM software (e.g., Salesforce) and other customer success tools
- Ability to work independently and as part of a collaborative team in a fast-paced, dynamic environment
- A passion for technology and a willingness to learn and adapt
Bonus Points
- Excitement about Generative AI and exploration of available tools (e.g., ChatGPT, Dall-E, MidJourney etc)
- Familiarity with the fashion industry
- Experience creating customer-facing content (E.g., slide decks, carefully crafted emails)
Benefits*
- Competitive salary and equity options
- Comprehensive benefits package including 401k, health, dental, and vision insurance
- Opportunity to work on cutting-edge AI technology with a high-impact team
- Fully remote and a supportive company culture
- Be part of a rapidly growing company with significant growth potential
ML Ops Lead
About Raspberry AI
Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes.
We recently closed $24 million in Series A from a16z, plus seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue. For more information, visit raspberry.ai.
About the Role
We're looking for an ML Ops Engineer to own the machine learning infrastructure that powers our generative AI systems. You'll be responsible for designing, deploying, and scaling our ML workflows while optimizing for cost, performance, and reliability— across cloud providers (e.g., GCP, AWS) and API vendors. This role sits at the intersection of engineering and ML, with a focus on infrastructure efficiency and observability.
Key Responsibilities
- Build and manage scalable infrastructure for model training, fine-tuning, and inference
- Monitor and optimize Gen AI models usage, latency, and token costs across providers
- Implement logging, observability, and cost dashboards for model performance and usage
- Automate model pipelines, versioning, and deployment workflows
- Work with engineering and product teams to integrate models into production systems
- Identify cost/performance tradeoffs and propose strategies for smarter model selection or hosting
Qualifications
- 3–5+ years of experience in ML Ops, DevOps, or ML infrastructure roles
- Deep understanding of cloud infrastructure (AWS/GCP/Azure) and container orchestration (e.g., Kubernetes), with a focus on managing production-level ML model services.
- Hands-on experience with computer vision models
- Strong Python and infrastructure-as-code skills (Terraform, Docker, etc.)
- Familiarity with model monitoring tools (e.g., Grafana, Prometheus), cost analytics, and optimization techniques
- A pragmatic mindset—balancing model quality with infrastructure cost and complexity
Benefits
- Competitive salary and equity options
- Comprehensive benefits package including 401k, health, dental, and vision insurance
- Opportunity to work on cutting-edge AI technology with a high-impact team
- Fully remote and a supportive company culture
- Be part of a rapidly growing company with significant growth potential
Principal Machine Learning Engineer
About Raspberry AI
Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software helps companies understand consumer demand and create unique designs in minutes, leading to high purchase likelihood and increased revenue. By translating insights into inclusive marketing campaigns and virtual photoshoots, we enable brands to connect authentically with diverse audiences.
We recently closed $24 million in Series A from a16z, plus seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue. For more information, visit raspberry.ai.
About the Role
This is a full-time remote role for a Senior Machine Learning Engineer at Raspberry AI. We are seeking a highly talented and motivated Machine Learning Engineer to join our growing ML team. In this role, you will focus on improving the quality and performance of our cutting-edge diffusion models, pushing the boundaries of generative AI in the fashion domain.
Key Responsibilities
- 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.
Qualifications
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
- 3+ years of industry experience.
- Strong theoretical and practical understanding of deep learning, with a focus on generative models (e.g., GANs, VAEs, Diffusion Models).
- Hands-on experience with deep learning frameworks such as PyTorch.
- Experience with training and evaluating generative models on cloud GPU platforms (e.g., AWS, GCP, Azure).
- Proficiency in using and tuning multimodal LLMs, including experience with both API-based and open-source model implementations.
- Ability to effectively present complex technical information to both technical and non-technical audiences.
Benefits
- Competitive salary and equity options.
- Comprehensive benefits package including 401k, health, dental, and vision insurance.
- Opportunity to work on cutting-edge AI technology with a high-impact team.
- Fully remote and a supportive company culture.
- Be part of a rapidly growing company with significant growth potential.
Full Stack Engineer
About Raspberry AI
Raspberry AI is a leading provider of industry-defining AI design and marketing/branding software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. We are an E2E solution where retailers can then take these designs and use them on their ecommerce websites as PDP ready shots or use them in marketing campaigns. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes.
We are a Series A startup, backed by top-tier venture capital firms such as Andreessen Horowitz (a16z), Khosla Ventures and Greycroft.
About the Role
We are seeking a highly talented and motivated FS Software Engineer to join our growing team. In this role, you will play a critical part in developing and enhancing core components of our AI-powered design platform.
What You'll Do
- Design, develop, and maintain a frontend generative AI web app (React/NextJS/Typescript), as well as related backend services (FastAPI/Python)
- Develop and maintain RESTful APIs for seamless integration with frontend applications.
- Collaborate closely with machine learning engineers to translate prototypes into production-ready systems.
- Participate in all phases of the software development lifecycle, including design, implementation, testing, and deployment.
Qualifications
- Bachelor's or Master's in Computer Science, Software Engineering, or a related field.
- 6+ years of industry experience.
- Strong programming skills in Python. Experience with cloud platforms like GCP or AWS (e.g., serverless functions, containerization). Familiarity with data analysis tools like BigQuery.
- Experience with building web applications and user interfaces for AI products.
- Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Huggingface) is a plus.
- A creative and problem-solving mindset with an eagerness to explore new technologies like LLMs.
- Excellent communication and collaboration skills.
Benefits
- Competitive salary and equity options.
- Comprehensive benefits package including health, dental, and vision insurance.
- Opportunity to work on cutting-edge AI technology with a high-impact team.
- Fully remote and a supportive company culture.
- Be part of a rapidly growing company with significant growth potential.
AI/ML Engineer
About Raspberry AI
Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes.
We are a Series A startup, backed by top-tier venture capital firms such as Andreessen Horowitz (a16z), Khosla Ventures and Greycroft.
About the Role
We are seeking a highly talented and motivated Machine Learning Engineer to join our growing ML team. In this role, you will focus on improving the quality and performance of our cutting-edge diffusion models, pushing the boundaries of generative AI in the fashion domain.
Key Responsibilities
- 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.
Qualifications
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
- 3+ years of industry experience.
- Strong theoretical and practical understanding of deep learning, with a focus on generative models (e.g., GANs, VAEs, Diffusion Models).
- Hands-on experience with deep learning frameworks such as PyTorch.
- Experience with training and evaluating generative models on cloud GPU platforms (e.g., AWS, GCP, Azure).
- Proficiency in using and tuning multimodal LLMs, including experience with both API-based and open-source model implementations.
- Ability to effectively present complex technical information to both technical and non-technical audiences.
Benefits
- Competitive salary and equity options.
- Comprehensive benefits package including health, dental, and vision insurance.
- Opportunity to work on cutting-edge AI technology with a high-impact team.
- Fully remote and a supportive company culture.
- Be part of a rapidly growing company with significant growth potential.
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