The Technical Product Manager will own the end-to-end delivery of platform features, from initial requirements and scoping to launch and feedback. They will act as the connective tissue between engineering, research, sales, and delivery teams to ensure alignment on product vision and quality standards.
The Staff Accountant will manage day-to-day accounting operations, including accounts payable, bank reconciliations, and credit card management. They will also collaborate with the VP of Finance to execute the month-end close process and support special financial projects.
The Technical Program Manager will lead the implementation and delivery of mpathic's solutions across clinical research programs and healthcare studies. They will serve as the primary operational point of contact, managing project timelines, site training, and cross-functional coordination between engineering, product, and clinical teams.
The role involves collaborating on AI safety initiatives by roleplaying clinical scenarios, identifying behavioral edge cases, and providing expert feedback on mental health policy. You will also design testing scenarios, conduct qualitative analysis, and develop behavioral taxonomies to ensure accurate AI responses to psychological distress.
The IT Specialist will provide day-to-day technical support, manage company hardware and SaaS applications, and administer user access. They will also assist with security compliance initiatives, specifically focusing on SOC 2 evidence collection and endpoint security.
Design and evaluate clinically realistic tasks to benchmark multimodal AI systems in the radiology domain. Provide expert reference answers and detailed feedback to improve AI diagnostic reasoning and instruction-following.
Evaluate and improve AI models supporting clinical operations and administrative workflows to ensure accuracy and practical application. Review real-world healthcare scenarios and provide expert feedback on AI-generated responses regarding EHRs and regulatory standards.
Design realistic clinical scenarios and evaluate AI-generated responses to ensure clinical accuracy and safety. Provide actionable feedback to improve the reliability and trustworthiness of healthcare AI models.
Design expert-level cybersecurity prompts and evaluate AI-generated responses for technical accuracy and safety. Provide actionable feedback to improve the reliability and security of frontier AI systems.
Evaluate AI-generated prior authorization recommendations and specialty medication requests for accuracy and alignment with payer requirements. Provide actionable feedback to improve AI performance on complex pharmacy authorization workflows.
Design clinically realistic psychiatric scenarios and prompts to test and improve the reasoning of large language models. Evaluate AI-generated responses for accuracy and safety while providing structured feedback to researchers.
Responsibilities focus on reviewing AI-generated financial content and conversations to identify risks such as misleading guidance, overconfidence, and inappropriate agreement, while also participating in adversarial probing exercises to surface failure modes.
