ironquill.tech/board

$ cat jobs/clinical-product-specialist-blueprint-health-98e2b0d4b97a.json

Clinical Product Specialist

blueprint health·US·United States·mid
Apply on himalayas → Get AI match score →
We’re hiring a Clinical Product Specialist to advance the usefulness and trustworthiness of Blueprint’s AI tools for mental health professionals. Building AI for clinicians requires more than adding clinical review at the end of the product-development process. Clinical judgment must shape how problems are defined, how systems are designed, and how quality is measured. We're looking for someone who has actually done the work—sat with a client in acute risk and decided what to do next, chosen an intervention and adjusted it when it wasn't landing, managed a full week of sessions and everything that surrounds them—and who can bring that judgment directly into how our products get built. You’ll develop evaluation methods, improve AI behavior, identify failure modes, and help teams make thoughtful clinical, product, and business trade-offs. This is not a traditional clinical-advisory position. You’ll work hands-on with AI systems while serving as a clinical expert among clinicians, product managers, designers, and engineers. You’ll turn nuanced clinical needs into clear product requirements and measurable quality standards, then help carry solutions from an ambiguous problem through a successful release. What you’ll own Define what clinically excellent AI output looks like for the product surfaces you support, translating clinical judgment into clear standards and measurable criteria. That typically includes designing and maintaining clinical evaluation suites, including representative test cases, scoring rubrics, benchmarks, and processes for identifying regressions Ground those standards in evidence-based practice and real-world care delivery, for example how a clinician actually reasons through a case, selects and sequences interventions, responds and documents risk, and what a clinician needs in order to trust and act on what the product tells them Work hands-on with prompts, models, and product workflows to improve quality, analyze failure modes, and determine when