Full Stack Product Engineer

About IdeogramIdeogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love.We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship. Explore Ideogram 3.0, Canvas, and Character blog posts, and try Ideogram at ideogram.ai.About The RoleAs a Full-Stack Product Engineer at Ideogram, you'll build the products that put generative AI directly into the hands of creators. You'll work across the entire stack, from crafting delightful user experiences to optimizing backend systems that serve millions, with a relentless focus on shipping features that users love. We're looking for someone who combines product instinct with strong ownership, user empathy, and the ability to move fast in an evolving AI landscape.What We're Looking ForProduct & AI MindsetDeep curiosity about generative AI and genuine excitement about its potential to empower creatorsStrong product intuition; you think about user problems first, then architect solutionsExperience building features where AI is core to the user experience (not just a backend detail)Ability to navigate ambiguity and turn open-ended problems into shipped featuresAI-Native Full Stack ExecutionExperience building and shipping full stack applications with real user impactComfortable working across frontend and backend systemsFamiliarity with cloud infrastructure and modern web technologiesCan design APIs and data models that support evolving product needsUse AI-native engineering tools (e.g., Claude Code, Codex, or similar) to meaningfully accelerate development velocity, debugging, and codebase comprehensionOwnership & ExecutionSelf-starter who takes initiative to identify opportunities and drive them to completionOperates with urgency. You ship incremental value and iterate based on real user feedbackComfortable working with minimal direction in a fast-moving environmentTakes responsibility for outcomes, not just code—you care about whether users love what you buildCollaboration & CommunicationCan explain technical concepts to both engineers and non-technical stakeholdersSeeks feedback, acknowledges mistakes, and learns quicklyPushes for quality through constructive code review and collaborationBachelor's degree in Computer Science, Engineering, related field, or equivalent practical experienceOur StackWe primarily use React and Python. Familiarity with the following technologies is a plus, but not required:OpenAPI & gRPCKubernetesRedis & MemcachedGCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/SubDocker & TerraformCloudflareNice to HaveExperience integrating ML models into production applications (inference, prompt engineering, fine-tuning workflows)Track record of shipping consumer-facing AI products or featuresContributions to design systems, component libraries, or developer toolingExperience with experimentation frameworks and feature flaggingFamiliarity with real-time systems or high-throughput applicationsOur CultureWe’re a team of exceptionally talented, curious builders who love solving tough problems and turning bold ideas into reality. We move fast, collaborate deeply, and operate without unnecessary hierarchy, because we believe the best ideas can come from anyone.Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. We thrive on curiosity, creativity, and shared ownership. We b ... (truncated, view full listing at source)