Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We’re tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. Leveraging wireless signals, we provide a uniquely scalable, infrastructure-free solution already deployed by international fashion brands.
Founded by an MIT engineering professor and alum behind the award-winning, patented core technologies, Cartesian spun out in 2023. Originally backed by the prestigious SBIR Award from the US National Science Foundation, we've bootstrapped to a live product that's now deployed in over a dozen countries and have been aggressively scaling in the market.
We are looking for a Business Strategy and Operations Associate to join Cartesian at a pivotal moment in our growth. In this role, you’ll play a key role in helping drive critical initiatives across operations and strategy, including refining our product market fit, streamlining internal processes, and informing strategic company decisions. You’ll work closely with the head of operations and founders on projects that shape the future of the business.
Location: In-person in Kendall Square, Cambridge.
We know that no one checks every box—and we don’t expect you to. If this role sounds exciting to you, and you think you could contribute to Cartesian’s mission, we encourage you to apply even if your experience doesn’t perfectly match the description. We care deeply about people who are curious, thoughtful, and motivated to learn, and we believe strong teams are built from a diversity of backgrounds, experiences, and perspectives.
Expected Salary: $70,000 - $100,000 annually
Job details are sourced from the employer's original posting.
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Cartesian Systems is a company focused on advanced robotics and AI, likely developing solutions in areas such as machine learning, perception, and sensor fusion. Their work appears to be at the cutting edge of computer science and engineering research.