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Vatica Health

Risk adjustment and quality-of-care solutions

Vice President of Product Management - Risk & Quality AI Solutions

Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 10 years of data- or AI-oriented product management experience, including a track record of building and launching Risk & Quality solutions powered by machine learning or artificial intelligence.
  • Demonstrated success delivering mission-critical, regulated software products at scale, and experience building and leading product teams.
  • Experience operationalizing AI- or data-driven products in production, including evaluation and monitoring frameworks for large language model or natural language processing workflows.
  • Expertise in measurement and evaluation methodologies, including precision and recall, false positives and false negatives, and continuous performance monitoring.
  • Technical fluency to work closely with Engineering on system architecture, data pipelines, application programming interface design, and integration patterns.
  • Experience working within an AI development lifecycle, from data and model development through evaluation, deployment, monitoring, and iteration.
  • Experience leading or operating in blended offshore/onshore teams, including managing delivery across time zones and distributed collaboration.
  • Experience working in cross-functional product, AI, and engineering pods, aligning product, data science, and engineering toward shared outcomes.
  • Working knowledge of Medicare Advantage, HCC coding, and CMS risk adjustment models, including the transition to the v28 model.
  • Hands-on experience integrating frontier AI models such as OpenAI GPT or Anthropic Claude into production products.
  • Experience designing or evaluating large language model-powered systems for chart abstraction, summarization, or coding assistance.
  • Familiarity with evaluation tooling such as LangSmith, Ragas, or Phoenix, and human-in-the-loop review systems.
  • Familiarity with clinical data interoperability standards including FHIR, C-CDA, and HL7, and health-plan integrations.
  • Understanding of data governance and PHI security frameworks such as SOC 2, HITRUST, and HIPAA.
  • Background scaling SaaS products for complex workflows across payer and provider ecosystems.

Responsibilities

  • Own the annual roadmap for the Risk & Quality AI Solutions portfolio, aligning it to company priorities and opportunities for new revenue, efficiency, and enhanced client value.
  • Partner with business stakeholders and the ML/AI team to identify and prioritize high-impact AI-native product bets across the combined Vatica and Cozeva product lines.
  • Design and deliver AI-native solutions applying agents, OCR, NLP, and LLMs to automate clinical and operational workflows while maintaining accuracy standards for regulated healthcare.
  • Own the AI solution lifecycle end to end, including problem framing, build, evaluation, production monitoring, and retirement, in close partnership with Engineering and ML/AI.
  • Define and scale human-in-the-loop review for use cases such as chart abstraction, summarization, and coding assistance, balancing automation with clinical and compliance safeguards.
  • Establish evaluation and monitoring frameworks for LLM- and NLP-based workflows, using rigorous measurement methodologies such as precision/recall and false-positive/negative analysis, and continuous performance monitoring.
  • Define and track KPIs for each product and the broader portfolio, tying them directly to client impact and efficiency gains.
  • Govern AI-related costs and evaluate model and engineering effectiveness to ensure a sustainable, scalable solution suite.
  • Lead responsible-AI policy and practice for the Risk & Quality portfolio, ensuring solutions are transparent, auditable, and compliant with applicable healthcare regulations; verify applicable frameworks and obligations with Compliance.
  • Mentor a high-performing product management team, implement OKRs, and drive consistent, predictable delivery.
  • Set annual product strategy and operationalize AI/ML, agentic, and LLM-driven workflows in a regulated healthcare environment while championing responsible AI.
  • Partner closely with Engineering, the ML/AI team, Clinical, Compliance, and the Data organization to build products on reliable, well-governed data.

About the Company

Vatica Health

Risk adjustment and quality-of-care solutions

Vatica Health provides risk adjustment and quality-of-care solutions to healthcare providers, health plans, and patients. Its products help clinicians capture accurate health data at the point of care, using proprietary technology that speeds up coding so clinicians can spend more time delivering care. The platform emphasizes compliance to lower audit risk and supports the delivery of Annual Wellness Visits and preventive services. Revenue comes from partnerships with providers and health plans, with growth aided by strategic investment (notably from Great Hill Partners since 2019). The company differentiates itself through a clear focus on compliance and financial performance improvements enabled by its proprietary technology. Its goal is to transform the risk adjustment industry by improving patient outcomes and the financial health of its clients through efficient, compliant clinical encounters.

Company size
201-500
Company stage
Early VC
Total funding
$1.2M
Headquarters
Georgia, United States
Founded
2012

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