Senior Product Engineer at Raspberry AI (United States)

Raspberry AI· United States·2d ago

Role details

Work type

Remote

Employment

Full-Time

Skills

PythonGCPAWSServerless functionsContainerizationBigQueryReactNextJSTypeScriptFastAPIRESTful APIsLLMs

Benefits

Competitive Salary · Equity Options · Health Insurance · Dental Insurance · Vision Insurance · Fully Remote Work

Summary

The Senior Product Engineer will design, develop, and maintain full-stack AI-powered web applications and backend services. Responsibilities include building frontend interfaces with React/NextJS, maintaining RESTful APIs, and collaborating with ML engineers to translate prototypes into production-ready systems.

Job description

About the Company Raspberry AI is a leading provider of AI design software for fashion brands and retailers. Our software empowers brands to understand consumer demand and create unique designs in minutes. Using advanced AI analytics and generative AI, we help fashion brands revolutionize their design and merchandising processes.

We are a Series A startup backed by top-tier venture capital firms including Andreessen Horowitz (a16z), Khosla Ventures, and Greycroft.

Role We are seeking a talented and motivated Full Stack Software Engineer to join our growing team. 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) and 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 degree 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), and familiarity with data analysis tools like BigQuery
Experience building web applications and user interfaces for AI products
Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Huggingface) is a plus
Proven experience building and deploying AI-native applications, with hands-on expertise in LLMs, prompt engineering, and generative AI workflows
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 with a supportive company culture
Be part of a rapidly growing company with significant growth potential

Why work at Raspberry AI

High-growth environment: 120% headcount growth YoY and a fresh $24M Series A from Andreessen Horowitz signal strong momentum and stability.
Mission-driven: The company is reimagining a massive, traditional industry (fashion) with cutting-edge AI, offering the chance to work on impactful technology.
Remote-friendly / Flexible: The team is distributed across 9 countries (US, Italy, India, Pakistan, Egypt, Bangladesh, UAE, Spain, Nigeria), suggesting a remote-first or highly flexible culture. The US is the largest hub (41 employees).
Engineering culture: The technical team makes up 17% of staff, with a focus on machine learning and full-stack engineering. The company values boldness and curiosity ("If you’re bold, curious, and ready to shape the future of digital product development, join our amazing team!").
Diverse talent pool: Employees have come from top companies like Google, Zapier, Browzwear, Polo Ralph Lauren, and Adobe, as well as from diverse backgrounds (QueerCraft, LACLOS Paris).
Active hiring: 11 active job postings across engineering, sales, product, and GTM roles, indicating strong growth and opportunity for new hires to make an impact.

About Raspberry AI

Company Overview

One-liner: Raspberry AI is an end-to-end generative AI design platform purpose-built for fashion and retail brands, enabling them to accelerate product development from first sketch to final campaign.
Entity Type: Private (Series A)
Headquarters: New York, United States
Founded: 2023 (approximate, based on first funding round)
Founders: Cheryl Liu (CEO)

Core Business

Primary Industry: Fashion Technology / Generative AI for Retail
Target Customers: B2B, primarily fashion and retail brands (luxury houses, fashion boutiques, athleisure labels, accessories, footwear, and luggage companies). Customers include Boston Proper, Gruppo Teddy, Li & Fung, MCM Worldwide, and Under Armour.
Mission / Purpose: To reimagine every step of product development from first sketch to final campaign, helping brands design and create products people love while dramatically reducing time-to-market and production costs.

Products & Services

Sketch to Render: Transforms sketches, CADs, or 3D avatars into photorealistic renders in seconds, allowing teams to preview garments, patterns, and textures in real-world contexts without waiting for physical samples.
On-Body Virtual Try On: Visualizes garments on models without a photoshoot, enabling rapid prototyping and fit visualization.
Lifestyle Photography: Generates professional-quality campaign photos instantly, including multi-angle views, background variations, and video content, reducing the need for expensive studio shoots.
Seamless Print Generation: Creates flawless repeating patterns for fabrics and designs.
Graphic & Print Creation: Generates custom logos, graphics, or placement prints.
Design Mixer: Blends multiple inspirations (images, mood boards, sketches) to create entirely new designs.
Model Alterations: Adjusts fit, length, or style with precision on digital models.
Background Generation: Creates or swaps custom backdrops to align with brand campaigns.
Multi-View Generation: Produces consistent front, back, quarter, and side views of products.
Video Generation: Creates animated, on-model visuals for marketing use.
Batch Recoloring: Applies or edits prints, trims, and materials across designs in one click.
3D Avatar to Photorealism: Transforms Clo3D/Browzwear 3D models into photorealistic renders.
Magic Eraser: Removes elements from designs and photography.

Market Standing

Valuation / Market Cap: Not publicly disclosed.
Key Metric: $28.5M in total funding across three rounds (Seed, Series A, Grant).
Notable Investors: Andreessen Horowitz (led Series A), Greycroft (co-led Seed), Khosla Ventures (co-led Seed).
Growth Signals: Headcount grew +120% year-over-year to 52 employees. The company operates in 9 countries. LinkedIn follower growth is +132% yearly. Active job postings increased +1000% year-over-year. Key metrics from their site: customers report 3-5x faster concept-to-market, 30-50% acceleration in speed-to-market, 90% lower production costs, 95% faster campaign turnaround, and 12% increased sell-through rate and revenue.

Competitive Advantages

Purpose-built for fashion: Unlike generic AI image tools, Raspberry AI is specifically designed for the entire design-to-market workflow for apparel, accessories, and footwear, including specialized features like print generation, model alterations, and 3D avatar integration.
Enterprise-grade security: SOC 2 Type II certified, with options for private cloud hosting for enterprise clients. They do not use customer data to train their AI models, and users retain full IP ownership of all generated assets.
Custom brand models: AI models can be custom-trained to represent a brand’s unique style and aesthetic, ensuring outputs align with creative standards.
Integration ecosystem: Integrates with key fashion industry tools like Browzwear, Adobe, Miro, Coloro, and CMYK workflows.
Trusted by global leaders: Top 10 global fashion brands including Under Armour, MCM Worldwide, and Li & Fung are customers.

Strategic Focus

Enterprise expansion: Actively hiring for Head of Enterprise Sales, Strategic Account Executive, and GTM Associate roles, indicating a push into larger enterprise accounts.
Product depth: Continuing to build out the platform with features like video generation, 3D avatar integration, and enhanced customization to serve the full design-to-market lifecycle.
Global reach: With operations in 9 countries and a distributed team, the company is scaling internationally.
AI leadership: Investing heavily in machine learning talent (Senior Machine Learning Engineer, AI Engineering Lead, AI Product Engineer) to advance their core generative AI capabilities.

Sources

Summary

Job description

What You'll Do

Qualifications

Benefits

Why work at Raspberry AI

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