Product Manager, Clinical – BCBA Preferred

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RethinkFirst

Site WebLinkedInTous les Emplois

51 - 200 employés

⚕️ Assurance santé

🤖 Intelligence artificielle

📚 Éducation

Healthcare Insurance • Artificial Intelligence • Education

RethinkFirst est une entreprise dédiée à la transformation de la santé comportementale grâce à son expertise clinique, à la science des données et à la technologie. En s'appuyant sur ces forces, RethinkFirst vise à autonomiser ses clients et à améliorer les résultats, influençant ainsi positivement la vie de millions de personnes dans le monde. La société propose des solutions pour divers secteurs, y compris les écoles et les entreprises, en soutenant tant les étudiants que les employés avec des ressources et des outils pour la santé mentale. Avec des contributions significatives dans l'éducation, notamment en travaillant avec huit des plus grands districts scolaires et en soutenant plus de 3 millions d'étudiants, et dans le bien-être en entreprise, comme la réduction de l'absentéisme pour des entreprises comme Volvo, RethinkFirst utilise l'IA et le big data pour prévoir les progrès des patients et améliorer les résultats cliniques. Ses services s'étendent à travers 225 pays, influençant significativement 11 millions de vies à l'échelle mondiale.

Description

• Define and drive product vision, roadmap, and positioning for ABA/behavioral health solutions used by clinicians, supervisors, and operational teams • Build business cases grounded in clinical outcomes, care delivery efficiency, and measurable customer value (e.g., documentation quality, supervision effectiveness, retention, utilization) • Partner with clinical leadership to ensure features align to evidence-based practice, ethical standards, and payer/regulatory expectations where applicable • Leverage AI tools (e.g., prototyping, vibe coding) to rapidly design and validate workflows • Deeply understand ABA clinical personas and workflows (e.g., RBTs/BTs, BCBAs, clinical directors, schedulers/billers) and how they intersect across the care journey • Use qualitative and quantitative data (including AI-assisted analysis) to uncover friction, quality gaps, and opportunities to improve outcomes and clinician experience • Continuously gather feedback from clinicians and customers to inform product direction, adoption, and clinical quality; incorporate learnings into roadmap and backlog • Own end-to-end product lifecycle from discovery to launch and iteration for clinical workflows (e.g., assessment support, treatment planning/BIPs, session documentation, supervision, outcomes reporting) • Translate strategy into epics, features, acceptance criteria, and prioritized backlogs for Agile teams; clarify clinical edge cases and decision logic • Partner with design and engineering to deliver usable, scalable solutions that fit real clinical environments and reduce cognitive burden • Use AI-assisted workflows to accelerate documentation of requirements, test planning, and iteration while ensuring clinical safety and privacy controls • Align stakeholders, manage dependencies (e.g., clinical, compliance, billing/ops), and drive timely delivery across releases • Define and track success metrics tied to clinical quality, outcomes, and operational impact; use data to optimize product performance • Monitor adoption and utilization across clinical roles; iterate via experimentation, rapid prototyping, and structured feedback loops with clinicians • Partner with commercial and customer teams to support sustainable growth while protecting clinical integrity and customer trust

🎯 Exigences

• BCBA preferred • Product management experience (or equivalent experience owning digital workflows/tools) with demonstrated impact on adoption, retention, revenue, and/or outcomes • Strong knowledge of ABA clinical workflows and artifacts (assessment, treatment planning/BIPs, skill acquisition and behavior reduction programming, session notes/data capture, supervision) • Comfort translating clinical requirements into clear product requirements (epics, user stories, acceptance criteria) and partnering with design/engineering to deliver • Data-informed decision making: ability to define success metrics, analyze usage/outcomes signals, and run experiments to validate solutions • Excellent communication and stakeholder management skills; able to align clinical, operational, and technical audiences • Experience with privacy/security and regulated data (e.g., HIPAA/PHI) and applying appropriate safeguards when using AI tools

🏖️ Avantages

• Professional development • Travel occasionally as needed