Senior Product Engineer

Ello•San Francisco, CA

80d•Onsite

About The Position

Our mission at Ello is simple and urgent: Maximize the potential of every child, everywhere. We’re building the world’s first AI teacher to close that gap: one that listens, speaks, adapts, and inspires, just like the best human educators. Our first product, Read with Ello, is already helping tens of thousands of kids each week learn to read. It listens as they read aloud, offers support when they stumble, and generates magical, personalized stories using generative AI. It works—and kids love it. Now, we’re scaling that success into something even bigger: a complete AI teacher for all children. We’re building a real-time learning platform—one that combines language, speech, and memory to power personalized, interactive education for kids worldwide. We’re moving fast: we ship weekly, test directly with kids and families, and push the boundaries of what AI can do in education. With the resources of the world's top investors and the heart of a public benefit corporation, we’re here to revolutionize how children learn globally. Featured on TIME’s Best Inventions and Fortune’s Change the World, Ello is a small, mission-driven team taking on one of the most important challenges of our time: to democratize education. Who you’ll be joining Ello is a rapidly growing, series A startup focused on revolutionizing the way children learn and interact with technology. You will work directly with Ello’s Co-founder & CTO, Catalin Voss, on a small team (<10) of engineers, learning designers, and PMs to develop new products. You’ll be surrounded by a team of A+ engineers and you’ll work with some of the foremost experts in ML to productionize models and build new product experiences. We work in-person out of our San Francisco office and we’re big believers in face-to-face collaboration. About the role We’re looking for a strong Sr. Product Engineer to independently own the build-out of learning activities as part of Ello’s next-generation AI tutoring apps. You will bridge the gap between product development and engineering to own features from conception to playtest, at times acting as your own product manager, and at times collaborating closely with our product team. You’ll be part of a small team that is responsible for bringing Ello’s tutoring AI to life through agent control, character development, and game interactions. You pay attention to the details and thrive building products that delight users. You can work full-stack and across multiple programming languages, build chains, etc. Learning yet another language doesn’t feel like a daunting task at this point. You have experience with or a demonstrated curiosity for GenAI pipelines. On the backend, you’re able to write performant Python code and deal with complex I/O pipelines. On the frontend, you’re able to take an existing component library and build a rough UI from scratch (Flutter & React) without a designer or implement pixel-perfect layouts in collaboration with a designer. We welcome candidates from all backgrounds – mobile engineering, machine learning, or design & product – but we prioritize strong technical foundations and demonstrated execution speed in shipping. As an ideal candidate, you’ll have built and shipped software products end-to-end in the past, for example through an initiative you championed at a prior job, through an impressive side project, or as the founder of your own company. We’d love to hear about those in the interview process!

Requirements

Engineering: Excellent production-grade engineering & debugging skills across backend, ML, and mobile frontend
Experience with at least one of Flutter, native Android development in Java/Kotlin, or iOS development in Swift/ObjC
Experience with ML tooling and GenAI tools (you don’t need to be a linear algebra beast designing your own models, but you should understand how multimodal models work and communicate with ML engineers in their language)
Some experience with GenAI models & pipelines, including human eval infrastructure
Familiarity with Git flow, etc.
Basic data science skills (enough to analyze your own product insights)
Familiarity with basic infrastructure setup, continuous integration, and production release workflows
Design & Product: Very high level of attention to detail. For example, you see how small changes in a character’s facial expression or the shading of a background affect the emotional impact of the end product
Demonstrated bias to action in product building: creating something from nothing and turning chaos into order
Demonstrated ability to work within existing design systems and brand standards to build new front-end components
Cross-functional skills; you likely either picked up engineering from a product/design domain or product skills from a computer science background
Familiarity with project management tools and collaborative development tools

Nice To Haves

Experience with game development
Experience as a product manager or in a role with significant ownership over features or components
Deep understanding of mobile app architecture, design patterns, and performance optimization techniques
Experience with designing products for children

Responsibilities

Own and build features end-to-end, from concept to delivery
Build agent-based AI pipelines, interfacing with ML engineers working on core models (e.g. our child speech recognition pipeline)
Serve as a bridge between product design and engineering, moving fluidly between UX/UI and technical problem-solving
Develop and integrate front-end components for mobile and web platforms, leveraging existing design systems and brand guidelines
Do whatever it takes to go from product conception to playtest

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