General Interest Application

Role and Responsibilities

Loti AI is a growing technology company working at the intersection of AI, digital identity, and digital rights. As we continue to scale, we’re always interested in connecting with thoughtful, curious people who are excited about the work we’re doing. If you don’t see an open role that aligns with your background right now, you’re welcome to submit a general interest application. We review these applications as new opportunities open across the company.

Who Should Apply

• Candidates interested in future roles across:

• • Engineering
  • Go-To-Market
  • Product & Design
  • Operations
  • Marketing & Communications
  • Research & Policy
  • Finance & Administration

• People who want to be considered as the team grows

What to Submit

• Resume
• A brief note about your background, interests, the type of role you’re looking for, why you’re interested in Loti and why you should be on our team.
  
  

What to Expect

• Applications are reviewed on a rolling basis
• We may reach out if a role opens that aligns with your experience
• Submission does not guarantee an interview

Why Join Loti AI?

At Loti AI, we are pioneering digital likeness protection and setting the highest standards in a rapidly evolving landscape.

• Dynamic, high-performance, ambitious culture where highly accountable individuals are empowered to take ownership, deliver impact and drive results.
• We’re creating an entirely new market that didn’t exist 10 years ago. With the proliferation of deepfakes and adoption of new legislation to combat them, we’re at the intersection of a critical need for both generative AI companies and high-profile individuals.
• You’ll be joining us at a sweet spot where the company is still early but significantly de-risked.
• You will have ownership and strong influence over our core processes, directly driving success for Loti, our clients, our partners, and you.

Loti AI is an equal opportunity employer. We value diverse backgrounds, ideas, and lived experiences.

Compensation offered will be determined by a number of factors including job-related knowledge, domain knowledge, skills, skill level, relevant years of experience, geographic location and interview performance.