Lead Product Manager, AI & Spatial Experiences - East Coast Preferred

Geomagical Labs

2h•$180,000 - $230,000•Remote

About The Position

We empower everyone to reimagine a home they love. At Geomagical Labs (IKEA), we build spatial, 3D, and AI-powered experiences that help millions of people imagine, plan, and furnish their homes with confidence, turning real spaces into intelligent, explorable digital environments. We’re looking for a Lead Product Manager who loves to build, explore, and ship amazing products. This role is focused on early-stage product experiences and experimentation, launching new ideas, learning fast, and helping shape what’s worth scaling next. You’ll work in technically rich areas such as room scanning, space understanding, Machine Learning, Computer Vision, and 3D graphics. You’ll start by helping drive new experiences and exploratory bets, and you’ll also act as a force multiplier across the product organization, stepping in to support, unblock, or accelerate other product areas when needed. This is a senior individual contributor role with high trust, high autonomy, and real impact.

Requirements

Have 8+ years of experience in Product Management or closely related technical roles
Have built 0→1 products or experiments in complex environments
Are comfortable collaborating deeply with ML- and Computer Vision–heavy teams
Can reason about data, models, system trade-offs, and technical constraints
Are an excellent communicator — written, visual, and verbal
Enjoy being a multiplier across teams, not just owning “your” area

Nice To Haves

Have been a founder or early-stage builder
Have worked on AI-heavy, 3D, graphics, or spatial products
Love prototyping, demos, and early validation more than polished roadmaps

Responsibilities

Launch and validate early-stage product experiments to test ideas and learn quickly.
Prototype new ways to interact with rooms, products, and spaces using 3D and spatial technologies.
Act as a builder and leader in ambiguous problem spaces where the path forward is not yet defined.
Transform technical capabilities in AI, Machine Learning, and Computer Vision into lightweight and testable experiences.
Partner with engineering teams on execution including backlog shaping, sprint planning, and prioritization.
Create clear narratives, demos, and slides to translate technical inputs into product direction for stakeholders.
Actively contribute across the portfolio by stepping in to support other PMs and helping shape the broader product strategy.