Product Manager, Clinical (BCBA Preferred)

Job Summary 
The Clinical Product Manager at RethinkBH partners with engineering, design, analytics, and go-to-market teams to build products that measurably improve care delivery and outcomes in ABA and behavioral health settings. This role is ideally suited for a Board Certified Behavior Analyst (BCBA) with deep clinical experience who can translate evidence-based practice into scalable digital workflows, ensure clinical quality, and connect user needs to business and product strategy. 
  

Clinical Product Managers at RethinkBH drive product vision, strategy, success metrics, roadmaps, and prioritized backlogs for solutions used by clinicians, supervisors, and operational teams. They bring strong product craft and deep clinical judgment—grounding decisions in behavior analytic principles, real-world care delivery workflows, and measurable client outcomes. The Product Manager is expected to leverage AI tools to accelerate research synthesis, prototyping, and requirements development while maintaining privacy, safety, and clinical integrity. 

 
Key Responsibilities 

Product Strategy & Clinical Innovation 

• 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  

Clinical Users & Insights 

• 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 

Execution & Delivery 

• 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 

Performance & Growth 

• 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 

 
Qualifications 

• 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 

• Ability to travel occasionally as needed