Hello! Please give this job description a thorough perusal before you decide to apply. There are aspects that will immediately knock you out of contention and we don't like raising hopes unnecessarily. For example, the ability to Claude code alongside engineers (Python/JS, LLMs/eval frameworks strongly preferred), Prior Auth domain knowledge, strong product-data prowess (SQL-querying), etc., Again, give it a good review. The fit may not be there.

Cover letters are welcomed, appreciated, and reviewed (by a human).

Applicants must reside in the States.

Location: 100% Remote w/ occasional in-person meetups Comp: $110–$130k + bonus (DOE & location)

Who is PrescriberPoint?

PrescriberPoint, a Series A startup incubated by BCG Digital Ventures and funded by Lilly, Pfizer, MasterCard, and Adobe, is modernizing how U.S. healthcare professionals (HCPs) get patients on therapy. Our platform streamlines prescribing by bringing together trusted drug information, coverage and prior authorization requirements, patient affordability options, and practice tools—while enabling compliant collaboration with pharmaceutical brand teams. PriorAuth is our flagship AI-powered workflow automation platform, transforming healthcare case management from manual processes to intelligent, automated conversations.

What You'll Be Doing

You'll own execution and outcomes for PriorAuth—our AI-powered prior authorization and case management platform—within the product strategy set by the Director of HCP Product. Your north star: shape an intelligent, automated product experience for the HCPs and clinical staff who submit prior authorizations, with a relentless focus on automation and AI-enablement that reduces manual effort and earns their trust.

You'll work from a Jobs-To-Be-Done mindset to deeply understand clinical workflows (eligibility checking, PA form completion, medical necessity letters, case tracking) and translate those jobs into experiences powered by agentic AI. You'll ship production code alongside engineering—building features and supporting experiments hands-on—and stay close to the data, reporting on how the product is used so we can focus our investment on scaling and growth. You'll partner closely with engineering leads across each workstream, design, and AI/data science to deliver production-ready AI that reduces administrative burden while ensuring clinical safety and compliance.

What You'll Achieve (Outcomes)

• Shape the prior authorization experience: Help shape an intuitive, trustworthy product experience for HCPs and clinical staff submitting prior authorizations—making a historically painful workflow feel simple.
• Advance automation & AI-enablement: Move PA workflows toward intelligent, agentic experiences—identifying where automation and AI can remove steps, surface answers, and speed decisions for clinical teams.
• Build & ship: Ship production code alongside engineering—delivering features and standing up experiments that move the PA experience forward.
• Report on product & data usage: Instrument the product and report on how it's used, turning usage and adoption signals into a clear view of where to focus for scaling and growth.
• Protect trust & compliance: Ensure the experience stays clinically safe, compliant, and trustworthy as automation and AI expand.

You'll Be Responsible For…

• Shape the product experience: Follow the vision for PriorAuth to organize and deliver work against the key clinical workflows HCPs rely on.
• Ground decisions in HCP needs: Build a deep understanding of clinical PA workflows and the jobs HCPs and staff need done, and translate them into intuitive, AI-enabled experiences.
• Ship code & experiments: Write and ship production code alongside engineering, and help design, run, and learn from product experiments with data science. Claude is here to partner with you.
• Product data & reporting: Define the metrics that matter, instrument analytics, query the data yourself, and report on product usage so the team can focus on scaling and growth.
• AI partnership: Work closely with data and AI teams to productionize AI—helping define confidence thresholds, fallback mechanisms, eval criteria, and clinical decision-support requirements.
• Integration strategy: Help shape integrations with ePA, pharmacy, and EMR systems, and navigate FHIR-based data exchange and the evolving TEFCA / QHIN landscape.
• Engineering collaboration: Work closely with engineering leads across each workstream, writing clear requirements and guiding execution toward measurable outcomes.
• GTM collaboration: Work closely with GTM so product priorities reflect market needs and business strategy.
• Compliance & security: Ensure HIPAA compliance, proper access controls, and comprehensive audit logging for all AI-assisted clinical decisions.

Competencies We Respect

• Hands-on engineering (required): Comfortable writing and shipping production-quality code, and getting hands-on with prototypes, prompts, and experiments to learn quickly.
• AI product experience: Track record with AI/ML products—conversational AI, agentic automation, or clinical decision support—including prompt engineering, evals, and model reliability.
• User empathy: Demonstrated ability to convert clinical workflows and trust requirements into intuitive product experiences that earn provider confidence.
• Data fluency: Strong analytical skills—comfortable querying product data, defining metrics, and reporting on usage to guide where the product scales next.
• Healthcare domain depth: Familiarity with prior authorization workflows, pharmacy processes, hub services, clinical case management, practice operations, and EMR integration patterns.
• Technical depth: Comfortable with microservices, API integrations, and cloud infrastructure, and able to evaluate AI model performance and reliability.
• Cross-functional influence: Excellent partner to engineering, UX, AI/data teams, and clinical stakeholders.

Requirements (though not all are required, per se…)

• Bachelor's degree in a relevant field (Business, Healthcare, CS, or similar) or equivalent experience.
• 3–5+ years in product management, with significant time in healthcare technology, SaaS, or B2B platforms serving professional users.
• Hands-on coding ability— with Claude, you can write and ship production code alongside engineers (experience with modern AI coding tools, Python/JS, and LLM/eval frameworks strongly preferred).
• Strong product-data skills—defining metrics, querying data (SQL or equivalent), using product analytics tools, and reporting on usage to drive scaling and growth.
• User-centered judgment—able to ground product decisions in HCP needs and translate them into intuitive experiences.
• Proven track record shipping products in agile environments with cross-functional teams, ideally in regulated industries (healthcare, finance).
• Experience with AI/ML products or automation platforms; understanding of confidence scoring, evals, error handling, and human-in-the-loop workflows is essential.
• Healthcare domain knowledge—prior authorization, pharmacy workflows, clinical case management, and practice operations.
• Familiarity with healthcare compliance (HIPAA), electronic health records, and clinical data standards (FHIR, HL7 v2, CDA); understanding of the TEFCA framework and QHIN ecosystem is a strong plus.
• Experience with EMR integration strategies (e.g., Epic SMART on FHIR) and an understanding of app marketplace certification requirements.
• Excellent communication and stakeholder management—able to translate complex technical concepts for clinical and business audiences.
• Bias for action with the ability to move quickly in ambiguous environments while maintaining quality and safety standards.