Product Manager, Core Platform

FLORA•New York, NY

3d•Onsite

About The Position

We build creative tools for the new creative class—an intelligent canvas where the best AI models enable professional craft. We're a team of ~20 who recently closed our Series A, backed by investors like Hanabi Capital, Menlo Ventures, Justin Kan, and Gabe Whaley (founder of MSCHF). Our customers include Pentagram, Lionsgate, and Nike. We're looking for a Product Manager, Core Platform to own the foundation that makes FLORA powerful—the visual programming experience, block system, and canvas performance that serious creative teams rely on daily. FLORA is a visual programming system for generative creation. While our techniques marketplace drives distribution and our AI agent (Fauna) drives activation, the core platform is what makes workflows composable, powerful, and delightful to build. This role owns that layer: block architecture, noodle inputs, bulk operations, canvas performance, and the deep controls that let users finish professional work without leaving FLORA. You'll drive the roadmap for everything that makes FLORA feel like a precision instrument—faster canvas rendering, better block interactions, smarter workflow logic, and the 80/20 media controls that cover most use cases elegantly. You'll also shape how we surface and integrate generative models across modalities—understanding which models excel at what, and how to give users the right tools to get the most out of them. Your north star is depth: increasing the percentage of users who build complex, multi-step workflows and keep coming back. This is a craft-obsessed role. You'll sweat the details that separate a good tool from a great one, while shipping at the pace of a Series A startup. You'll work closely with our Craft engineering pod, Design, and the broader product team to ensure the foundation is solid as we scale.

Requirements

4+ years of product management experience, ideally on core product experiences at creative or developer tools
Fluency in the generative AI landscape—you have opinions on which image, video, audio, and text models are best for different use cases, and you stay current as the space evolves
Deep appreciation for product craft—you notice the micro-interactions, care about performance, and believe the details compound
Experience working on visual or canvas-based products (Figma, Miro, Notion, design tools, DAWs, video editors, or similar)
Technical intuition for how complex UIs work—you can discuss rendering performance, state management, and interaction models with engineers
A track record of shipping polished, high-quality features under time pressure
Strong collaboration skills with Design and Engineering—you know when to push for polish and when to ship and iterate
Comfort with ambiguity—you can take a broad mandate like "make workflows more powerful" and turn it into a concrete roadmap

Nice To Haves

Hands-on experience with generative AI tools and workflows—you've built with Midjourney, Runway, Stable Diffusion, Kling, Sora, ElevenLabs, or similar, and can articulate their strengths and limitations
Experience building block-based, node-based, or visual programming interfaces
Background in creative tools, game engines, or professional media software
A design sensibility—you can sketch interactions, give precise feedback on UI, and hold a high bar for craft
Experience with performance optimization as a product problem (not just an engineering problem)
Understanding of how LLM capabilities translate into product features—context windows, fine-tuning, multimodal inputs, and how these shape what's possible
Contributions to product quality culture—you've raised the bar for what "done" means at a previous company

Responsibilities

Drive the roadmap for everything that makes FLORA feel like a precision instrument—faster canvas rendering, better block interactions, smarter workflow logic, and the 80/20 media controls that cover most use cases elegantly.
Shape how we surface and integrate generative models across modalities—understanding which models excel at what, and how to give users the right tools to get the most out of them.
Increasing the percentage of users who build complex, multi-step workflows and keep coming back.