SmarterDx

Program Manager

• Partner with CS leadership to prioritize and drive the strategic roadmap for a portfolio of programs, ensuring alignment with executive-level business objectives
• Regularly deliver concise and impactful program updates, including key achievements, risks, and challenges with proposed mitigation strategies, to CS leadership and cross-functional partners
• Schedule and track complex, high-impact program timelines and milestones using advanced project management tools
• Champion and exemplify program management best practices, tools, and templates across the Customer Success organization, driving continuous process improvement
• Serve as a subject matter expert and mentor for other Program and Project Managers, elevating the overall project management maturity within the department
• Direct and document formal program post-mortems, developing comprehensive recommendations reports to institutionalize learnings from successful and unsuccessful program elements

Senior Program Manager, Operational Excellence

Product Specialist

• Collaborate with Product and Data Science to build and refine prompts, pipelines, and model behavior
• Review AI-generated outputs (summaries, notes, insights) for accuracy, completeness, and clinical defensibility
• Define and operationalize clinical quality standards for models outputs
• Drive iteration loops between evaluation and model improvement to continuously raise quality
• Apply clinical judgment in ambiguous scenarios where documentation quality, trajectory, and context matter
• Partner cross-functionally to ship quickly while maintaining a high bar for clinical rigor
• Assist with designing and translating physician workflows into structured AI tasks, system logic, and product requirements
• Serve as the clinical subject matter expert for physician documentation, charting workflows, and end-to-end care delivery processes

Clinical Product Specialist

Engineering Manager

• Be accountable for all aspects of the team’s performance including velocity of feature delivery, quality, operational excellence, hiring, retention, professional growth, and well-being
• Implement, monitor, and iterate on team metrics to further improve team processes
• Design, build and launch new features and improve the overall quality of our internal and external apps
• Collaborate across disciplines to understand our users and iterate on new ideas
• Protect patients’ privacy by teaching secure coding practices and ensuring they are used throughout the codebase
• Support our apps and systems in production
• Work with the Head of Engineering to improve the broader engineering organization.

Engineering Manager, Product

Data Scientist

• Develop and refine modeling approaches in close collaboration with the Machine Learning Research team, iterating on experiments to improve model performance.
• Execute rapid experimentation cycles, documenting learnings and identifying promising avenues for further development.
• Support deployment efforts by creating standardized model endpoints and interfaces for seamless integration with product workflows.
• Contribute to shared modeling infrastructure, building tools and utilities that accelerate experimentation and standardize workflows across teams.
• Collaborate with Engineering, Analytics, and Product teams to integrate machine learning models into product workflows, ensuring they drive measurable business KPIs.
• Adapt and enhance existing modeling approaches to drive impact in new product areas.
• Identify product needs and communicate them effectively across the Data Science and Machine Learning Research Science teams.

Senior Data Scientist

Product Analyst

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions
• Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results
• Prototype analytics solutions and data products to accelerate product development
• Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications
• Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data
• Building, maintaining, and testing data models which support reporting and analytics.
• Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning

Senior Product Analyst

Product Manager

• Lead the planning and prioritization of ML platform initiatives, balancing cross-team impact and advancing model training, deployment, monitoring, and scalability.
• Define and operationalize success metrics for platform performance, system monitoring and adoption.
• Own the prioritization of work and decisions on the systems that support LLM workflows (prompt iteration, retrieval, fine-tuning).
• Experienced with API-based LLM usage where iteration, speed and eval loops matter most.
• Partner closely with Data Science and ML Engineering, with a strong emphasis on the Machine Learning lifecycle.
• Drive stakeholder alignment across complex data systems (Airflow pipelines, LLM/agentic tooling) and communicate broader business impact.
• Contribute to evolving modeling strategies, productizing and generalizing the work to be consumable and accelerate growth across teams.
• Prioritize and enable cutting edge research and experimentation against product and business goals.
• Write, standardize, and maintain product and technical documentation.
• Develop a roadmap of product enhancements, features, and solutions to continue to innovate and evolve the platform.
• Identify opportunities to enable teams to move more quickly by understanding constraints and trade-offs.
• Lead cross functional team of engineers, data scientists, and product managers through the product development lifecycle from inception to launch of new features.
• Communicate your strategic vision for the platform to cross functional stakeholders, working closely with leadership to ensure alignment.
• Understand interactions and impact across multiple products and decide the best strategic path forward.

Senior Product Manager, ML Platform

Customer Success Manager

• Manage a portfolio of existing, “live” customers on the SmarterDx platform
• Develop deep relationships with customers at all levels, acting as the customer's trusted advisor, and providing guidance and knowledge to help them achieve their business objectives
• Partner with CS leadership to develop team tools, templates and processes, such as implementation plans, CS playbooks, and customer onboarding processes
• Lead hand-offs from Sales to CS, through implementation and go-live
• Coordinate with internal teams to resolve customer issues, access additional resources, and facilitate the solutions needed by customers
• Monitor client performance, report on financial impact to customer executives, drive product expansion, and work with sales to execute renewals
• Deliver customer feedback as a voice of the customer to internal teams, identifying customer needs, ideas, and challenges, and advocate for solutions and product enhancements
• Surface customer success stories, and help build a list of reference customers
• If necessary, coordinate implementation with clients and internal teams to ensure a successful launch

Senior Manager, Customer Success

Manager

• Help hospitals and health systems understand how AI-powered CDI can improve documentation, boost revenue, and drive quality care.
• Work closely with Customer Success to refine documentation workflows and help clients maximize their CDI programs.
• Help design, implement, and refine comprehensive educational materials, guidelines, and curricula for CDI specialists, ensuring they can accurately review AI-driven query recommendations and maintain compliance standards.
• Communicate directly with client CDI leaders to establish trust, address concerns, and demonstrate advanced knowledge of inpatient clinical documentation best practices