Blooming Health
Chief Technology Officer
United States · Exec
Sponsorship not specifiedDetected 85 days ago
Node.jsPostgreSQLMongoDBAWSGCPMachine LearningData EngineeringLLMsMLOpsComplianceBusiness DevelopmentCadenceHIPAAEpicCernerHL7/FHIREHR/EMRResearchLeadershipCommunication
About the role
- The result is improved access to care, higher program participation, and better outcomes across diverse populations.
- We do have a strong preference for NY-based candidates, but it is not a requirement.
- Data Governance & AI Ethics: Establish and enforce rigorous IT and compliance standards, with specific focus on data privacy for AI models, IAM protocols, and technical risk mitigation.
Responsibilities
- Engineering Excellence (The "Strike Team" Model): Lead and mentor a consolidated team of elite, vetted experts, prioritizing high talent density over volume to ensure 100% certainty in AI and backend execution.
- Capital Efficiency & Budget Stewardship: Manage and optimize the engineering and AI research budget, demonstrating clear ROI by reducing coordination overhead and maximizing output per dollar.
- Cross-Functional Leadership: Partner directly with executive leadership across Marketing, Operations, and Business Development to align AI capabilities with aggressive organizational growth targets.
- Talent Maturation & Succession Planning: Implement documented feedback loops and "Shadow Pipelines" to identify high-potential AI/ML talent and mitigate key-person dependency risks.
- Organizational Stability: Act as the stabilizing force during technical transitions, ensuring seamless knowledge transfer of complex AI systems and zero-downtime execution during lead-level rotation.
- Manage and optimize the engineering and AI research budget, demonstrating clear ROI by reducing coordination overhead and maximizing output per dollar.
- Implement documented feedback loops and "Shadow Pipelines" to identify high-potential AI/ML talent and mitigate key-person dependency risks.
- It then drives action through automated, empathetic outreach in 55+ languages/dialects to engage individuals across voice, SMS, and email, and coordinating referrals to the right services at the right time.
- Our platform supports 1,000+ community organizations across the US, helping millions of members access the support they need to stay healthy.
- We don't just offer software-we deliver impact.
Requirements
- Strategic Technical Leadership: 12+ years of progressive engineering experience with 5+ years as a CTO, VP of Engineering, or equivalent senior technical executive at a high-growth B2B SaaS company.
- Track record of leading technical organizations through critical inflection points.
- AI/ML Expertise: Demonstrated success integrating and scaling AI/ML products (LLMs, agents, predictive models) within production environments.
- Capital Efficiency Discipline: Experience managing engineering and AI/research budgets with measurable ROI.
- Compliance & Security Leadership: Expertise establishing IT, security, and compliance frameworks - including data privacy, IAM protocols, and technical risk mitigation.
- HIPAA, SOC2, or HITRUST experience required.
- 12+ years of progressive engineering experience with 5+ years as a CTO, VP of Engineering, or equivalent senior technical executive at a high-growth B2B SaaS company.
- Expertise establishing IT, security, and compliance frameworks - including data privacy, IAM protocols, and technical risk mitigation.
Nice to have
- Strongly preferred.
- Specific Stack Elements: GCP, MongoDB, PostgreSQL, Node.js, and modern AI/ML frameworks.
Skills
- Deep technical credibility across modern cloud architectures (GCP/AWS), APIs, microservices, and data pipelines.
- Excellent communication and influencing skills with both technical and business stakeholders.
- GCP, MongoDB, PostgreSQL, Node.js, and modern AI/ML frameworks.
- Beneficial but less critical than leadership track record.
Benefits
- Blooming Health is on a mission to transform social care!
- Oversee the integration and scaling of core AI/ML initiatives, ensuring robust architectures that maintain a competitive edge in the health-tech ecosystem.
- Direct experience in health tech, particularly with EHR integrations (Epic/Cerner, FHIR), HIPAA, and the payer/provider ecosystem.
- AI Vision & Roadmap: Leading the organization's pivot toward an AI-first product ecosystem, integrating LLMs and proprietary ML models into core offerings.
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