AI Safety Manager

Job description

Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We’re building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we’d love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role We’re hiring a leader to help shape how we approach trust and safety at Ash, in our model and in our product. People bring deeply personal things to Ash. That creates difficult questions about how the product should behave, how we respond when something goes wrong, and how we protect people while respecting their privacy and autonomy. You’ll work alongside psychologists, researchers, and machine learning engineers to develop novel systems for AI in a sensitive domain. You’ll help us answer hard, ambiguous questions about our model’s policy, investigate, research, develop new policies, and implement them, and communicate clearly about them to both internal and external audiences. The role combines strategy, hands-on operations, and communication. You might spend one day working through a difficult safety decision with our clinical and legal teams, the next building a process for handling user reports, and the next writing an explanation of our approach for the public. We’re looking for a thoughtful generalist who learns quickly, makes things happen, and cares deeply about getting this right. What you’ll do Develop our principles and policies. Work through questions where safety, privacy, user autonomy, and product usefulness pull in different directions. Research the problem, seek expert input, and make a reasoned recommendation. You’ll work with our team, our advisors and experts and others to build principles for how to handle decisions. Turn ambiguous issues into clear decisions. Investigate user reports, emerging risks,…