Lead, Product Safety & Wellbeing

Flagship Pioneering•Cambridge, MA

9d•Remote

About The Position

The Company FL105 is a privately held, early-stage company pioneering the use of artificial intelligence to transform how people navigate life’s challenges and wellbeing. We are creating a platform that empowers people to build a life they are proud of and fulfilled by. We bring together psychology, product, design, engineering, and machine learning to build digital experiences that are engaging, trustworthy, and genuinely helpful. FL105 is backed by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and builds companies that invent breakthrough technologies that transform the world. Flagship has created over 100 groundbreaking companies since 2000, including Moderna. We're looking for an experienced and creative leader to own and continually improve product performance. This person will lead on how we define and measure safety, and partner across disciplines to strengthen our evaluations, safety systems, and user experience. This role sits at the intersection of psychology, AI, product development, and applied research. Candidates should have a strong background in clinical science with the ability to lead projects and communicate effectively across teams to translate insights into actionable and meaningful improvements across AI tools and workflows. The role offers a unique opportunity to help drive the strategy of an early stage AI-focused company. The ideal candidate is a self-starter who knows how to balance safety, quality, and rigor with speed and experimentation. They are passionate about creating user experiences that help people feel supported, understood, and empowered in their everyday lives. This dynamic role offers significant opportunities for impact and professional growth, helping shape how AI can responsibly support wellbeing at scale.

Requirements

Advanced training (PhD, PsyD, LCSW, or equivalent experience) in psychology, behavioral science, mental health, or a closely related field
Deep expertise in psychological safety, crisis response, and risk assessment; strong judgment around conversations involving emotional distress, self-harm, suicide, abuse, or other sensitive situations
Experience developing evaluation frameworks or quality assurance processes
Excellent communication, analytical, and problem-solving skills with the ability to translate expertise into clear operational and product guidance for AI systems.
Ability to collaborate effectively with engineers, researchers, designers, and product managers
Ability to make and communicate tradeoffs and clear decisions in ambiguous environments
Experience building with LLMs, conversational AI, or generative AI products
Up to date on current clinical AI best practices and emerging guidelines and standards.

Nice To Haves

Experience leading annotation or human evaluation programs
Experience developing AI evaluation benchmarks or automated evaluation systems
Experience working closely with product or engineering teams

Responsibilities

Serve as the subject matter expert on safety systems, owning the safety roadmap and continuously improving guardrails as the product evolves.
Develop a deep, data-driven understanding of product performance across safety risks; identify strengths, limitations, failure modes, emerging risks, and opportunities for improvement.
Develop and evolve safety frameworks, benchmarks, evaluation methodologies, rubrics, quality standards, and meaningful safety metrics.
Lead human and automated evaluation programs, including annotation programs, annotator and AI judge training and calibration, and improvements to evaluation reliability and scalability.
Conduct qualitative and quantitative reviews from both expert and user perspectives, translating findings into clear, actionable product recommendations.
Partner with Engineering, ML, Product, and Data Science to improve risk detection, prompting strategies, response generation, routing and escalation logic, automated evaluation pipelines, and the overall user experience.
Prototype and test new safety approaches, product features, and user experiences to improve safety and broader product quality.
Own ongoing safety monitoring and assessment, including dashboards, key metrics, trend analysis, emerging risk identification, safety reviews, and refinement of safety protocols.
Evolve and own safety and launch-readiness criteria for new features and capabilities, identifying risks and ensuring appropriate mitigations are in place.