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About Arcade
Arcade is building the world’s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we’re building the infrastructure to make that real.
We’ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.
Arcade is headquartered in San Francisco’s Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We’re pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we’re building fast.
Role Summary
Note: we are open to fall, winter, and spring internships.
Arcade’s inaugural Associate Product Manager (APM) program is designed for individuals with extraordinary talent and ambition who want to build at the frontier of AI and consumer experience. As an APM, you will be embedded deeply within our product team and work alongside leadership, engineers, designers, and AI researchers to launch category-defining experiences.
APMs at Arcade will own critical products from day one, prototyping novel workflows, defining product strategy, and driving cross-functional execution at the speed of a high-velocity early-stage startup.
What You'll Do
- Design and launch work that has real-world impact, cultural visibility, and end-to-end ownership, shaping an entirely new consumer category and product paradigm
- Own end-to-end product workflows, from ideation to launch, including user research, technical scoping, and post-launch iteration
- Collaborate closely with engineers, AI researchers, and designers to integrate cutting-edge models and tools into intuitive, production-ready features
- Design and test agentic workflows, LLM chains, and multimodal model calls to power core user actions
- Run prompt tuning, tool usage evaluations, and comparative model benchmarks
- Prototype, test, and refine generative AI interfaces that make product creation feel magical, personal, and effortless
What We're Looking For
- Arcade APMs are individuals who have accomplished remarkable things, want to immerse themselves fully in AI product development, and possess an unrivaled work ethic.
- Unconventional and extraordinary talent proven in AI, engineering, design, startups, research, or unexpected fields like sports, arts, etc.
- Technically fluent builders comfortable reading source code, working in notebooks, and debugging eval pipelines
- Agents and LLM tinkerers with experience building agentic workflows in personal, research, or production settings
- Deeply curious AI thinkers especially across LLMs, diffusion models, vector search, tool use, and prompt evaluation
- Clear thinkers and communicators who bring structure to ambiguity and can engage engineers, researchers, and designers alike
- High-agency operators who move fast, take ownership, and bias toward impact
- Tasteful, low-ego teammates who bring humility, energy, and judgment to every interaction
We're looking for:
What You Bring
- Currently in school with a background in Computer Science, Engineering, Physics, Mathematics, or a similar field
- Experience building or shipping products: personal projects, internships, startups, or open-source contributions all count
- Familiarity with modern AI systems and infrastructure: LLMs, multimodal models, vector databases, or agent frameworks
- A strong product sense and attention to user experience: you care deeply about making products that feel magical and intuitive
- Clear thinking, fast learning, and a deep curiosity about the future of design, manufacturing, and creativity
- Bonus: experience as a startup founder, in early-stage startups, or in creator platforms and marketplace ecosystems
Additional
Competitive compensation
Lunch provided daily
Company events
Arcade is an equal opportunity employer. We’re committed to building a diverse, inclusive, and supportive team, and to creating a platform where anyone, anywhere, can make something meaningful.
Arcade (arcade.ai) San Francisco, California, USA Office
San Francisco, CA, United States, 94129
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
