About the Role

Ello is seeking a full-time AI Learning Designer (Math) to help shape the instructional vision and design of our math learning experiences. This role sits at the intersection of elementary math pedagogy and AI: you'll build and refine AI-powered math learning activities, steer our AI tutor to teach math the way a great human educator would, and work shoulder-to-shoulder with engineers to make it happen.

This role is ideal for an AI-forward math educator or curriculum designer who can think both instructionally, creatively, and technically-someone who can define what learners need to learn, imagine how that learning can come to life within an AI-powered digital product, and collaborate deeply with engineers to build the future of educational technology.

Because this role sits at the intersection of curriculum and technology, we're looking for someone with a strong technical foundation. That might come from a background in computer science, AI, computational thinking, educational technology, or extensive experience building AI-enabled products and workflows. You don't need to be a software engineer, but you should be excited to work closely with engineers, understand the capabilities and limitations of modern AI systems, and have a strong conceptual understanding of how AI components and software systems work together to deliver intelligent, interactive learning experiences.

You'll collaborate closely with curriculum, product, engineering, and design to shape Ello's elementary math curriculum, develop engaging learning experiences, and ensure our math instruction is grounded in both learning science and exceptional product design.

We're aiming to significantly grow our library of math activities this year, and we need someone who can ramp up quickly and hit that pace independently. This role is open as either a full-time contractor (SF preferred but open to remote candidates) or a full-time employee based in San Francisco. We're moving fast to fill it, but for the right person, we see this as a long-term seat on the learning design team.

What You'll Do

• Design and build AI-powered math lessons that combine strong pedagogy with engaging learner experiences.
• Evaluate AI tutor outputs to ensure they are instructionally effective and developmentally appropriate.
• Guide and refine AI tutor behavior by helping shape prompts so the agent teaches as an expert math tutor would.
• Collaborate with engineers and AI researchers to continuously improve the quality of AI-driven instruction through testing, iteration, and evaluation.

Key Requirements

• Deep expertise in math education, curriculum design, or learning science, particularly in early elementary or elementary mathematics
• A strong technical foundation. This could include experience in computer science, artificial intelligence, educational technology, or building technology-enabled learning products.
• A genuinely AI-forward workflow - you use LLMs and other generative AI tools daily, and can speak specifically to how they've changed how you work
• Comfortable communicating fluently with engineers and product teams, translating instructional ideas into AI-powered learning experiences
• Able to ramp quickly, take ambiguous direction, and hit a high output bar independently

Nice to Have

• Background in computer science, software engineering, data science, or a related technical field
• Experience designing AI-assisted educational experiences
• Experience building edtech products or digital learning experiences
• Familiarity with research-based math instruction, including number sense development, visual representations, and productive struggle
• Portfolio demonstrating curriculum or product work

We Look for Candidates Who

• Obsess over learning design because all children deserve an education that creates impact with delight.
• Experiment constantly, especially with AI, because yesterday's workflows won't build tomorrow's products.
• Have a strong, opinionated sense of what good math pedagogy looks and feels like.
• Move with urgency because opportunities like this don't come around often.
• Default to ownership instead of waiting for permission.
• Build meaningful relationships and communicate with honesty, empathy, and respect.