Lead Product Designer, AI Planet
Listed on 2026-09-14
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Persons in these roles are expected to work from our offices in Seattle. On‑site requirements vary based on position and team. If you have questions about on‑site work arrangements for this role, please ask your recruiter.
Our base salary range is $137,520 - $206,289, and in addition we have generous bonus plans to provide a competitive compensation package.
Who We Are:We are a small product team at the Allen Institute for AI working on AI for the Planet. We're working on maritime conservation, food security, disaster resilience, and climate solutions with some of the most impactful organizations on the planet. Design, engineering, product, and partnerships work side by side with an ML research team, building products that support our environmental and high‑impact users.
Today, our team works on two products:
Skylight provides AI‑powered intelligence to combat illegal, unreported, and unregulated fishing to protect our oceans. Governments, enforcement agencies, and conservation organizations in 95+ countries use Skylight data to protect their waters today via our interface, API, and most recently an agentic interface named Shippy. Read more at https://allenai.org/skylight.
Olmo Earth is an open platform built around our family of foundation models for Earth observation. Users create custom fine‑tuned models to detect and classify novel geospatial features. The platform handles the full loop: imagery acquisition, annotation, as well as model training and inference for ML and non‑ML experts alike. Partners today include International Food Policy Research Institute, The Group on Earth Observation, NASA Harvest, Global Mangrove Watch, Amazon Conservation Alliance and more across for‑good domains.
Read more at https://allenai.org/olmoearth.
You'll own the design for these products, and you'll have designers around you. Ai2's design group spans the organization, with designers working on open models, scientific agents, and our other conservation platforms. We lean on each other for critique, shared systems, and solving hard interaction problems. It's a small group, so the patterns you set here influence other teams and products.
If you're the kind of designer who is excited by how fast the craft is changing and wants your work to support for‑good efforts in agriculture, ocean conservation, forests, and the climate, this is for you.
What we believe:- The mission is the point. We're building AI for the planet: environmental conservation, food security, climate. If it’s important to you to work on problems with a positive impact on our planet and the world, you’re in the right place.
- Great products are built alongside users. We put weight in listening to users, sitting with partners, and working side by side with researchers. This team travels regularly to sit with the people using what we build, watch them work, and bring what we learn back into the product.
- Ship small, learn fast. Our users are tackling huge problems and need tools that genuinely help. The fastest way to build those tools is alongside them: ship something functional, learn from how they use it, iterate. We hold a high bar for what we put in front of users, and we move with urgency. When something breaks, we focus on understanding the system, not blaming individuals.
- In-person matters. A lot of the best work on this team happens in unscheduled hallway conversations. We're in the office most days because that's where the team is at its best.
- We hire for curiosity. The tools we use and domains we operate in will change over the years. The people who do well here are the ones who enjoy learning new things, a new domain, and a new way of working, not the ones who have mastered a particular toolkit.
- Ideas get better when they're challenged.…
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