Senior Product Designer

About onX

We’re a team of builders, adventurers, and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone, we build products that optimize every outdoor experience and inspire confidence to get out and go further. We’re a high‑growth tech company. The pace is fast, the work takes grit, and ambiguity is part of the job.

As the world changes around us, we adapt – continuously evolving how we build, prioritize, and deliver. Our business moves quickly, and there’s real opportunity to shape what we build next. Each of our verticals – Hunt, Offroad, Backcountry, and Fish – is at a different stage of maturity, which means the challenges you encounter and the impact you have will vary depending on where you sit and what the business needs most.

We operate with an experimentation mindset, continually iterating and improving how we solve problems. We expect our people to use the latest tooling, including AI, thoughtfully and responsibly, pairing human judgment with technology to increase quality, speed, and impact. Our impact comes to life through the products we build, in the stories of our customers, and in our growing commitment to land stewardship and recreational access.

onX is seeking a Senior Product Designer, AI Foundations
, to help shape how AI is thoughtfully integrated into our product ecosystem. This role sits at the intersection of emerging technology, evolving user expectations, and real‑world product constraints. Our AI practice is actively developing, and we are experimenting, learning, and refining how AI should show up in our products. We are looking for a senior designer who is comfortable working in ambiguous spaces and can help define foundational interaction models, experience principles, and patterns that others can build on over time.

In this role, you will design and prototype AI‑enabled experiences from early exploration through iteration, helping ensure that technical AI capabilities are aligned to meaningful customer problems. You will partner closely with Product Management, Engineering, and Research to explore, test, and refine AI‑driven workflows that are useful, trustworthy, and grounded in real user needs. This role is an individual contributor position within the UX Design & Research team.

You may own one or more AI‑focused initiatives while also influencing broader design direction through shared patterns, documentation, and storytelling. You will report to the Head of UX Design & Research and work closely with the AI Foundations team.

• Lead design efforts in early‑stage, AI‑enabled problem spaces where best practices are still emerging. This includes shaping interaction models, defining appropriate experience boundaries, and translating complex AI‑driven capabilities into intuitive, usable experiences for customers.
• Work in iterative cycles that prioritize learning and signal in early phases while also considering how design decisions contribute to durable UX foundations over time. This may include contributing to patterns, principles, and guidance that support broader AI adoption across the product organization.
• Apply systems thinking to anticipate downstream effects, edge cases, failure modes, and trust implications associated with AI‑enabled features. In collaboration with Product and Engineering, you will help clarify trade‑offs, constraints, and responsible uses of AI in customer‑facing workflows.
• Conduct lightweight research as part of your design process, including interviews, usability testing, and synthesis, and partner with UX Research when deeper investigation is required.
• Help elevate AI fluency within the design organization. This includes demonstrating practical uses of AI tools in design workflows, articulating their strengths and limitations, and modeling thoughtful, responsible adoption.

• Six (6) or more years of experience designing complex digital products or systems, including experience working in ambiguous or 0–1 environments where direction was not fully defined.
• Hands‑on experience designing AI‑assisted, data‑informed, or…