Chief Technology Officer

Blooming Health; United States; On-site; USD 240,000 - 360,000; Full time

Job summary

Blooming Health is seeking a strategic CTO with a strong track record in AI/ML and scalable architectures to lead our technology roadmap. You will empower a lean, elite engineering team, scale AI initiatives, and partner with executive leadership to drive growth and impact across the health-tech ecosystem.

Ideal candidates bring 12+ years in engineering with 5+ years in senior executive roles, deep cloud experience (GCP/AWS), and a commitment to data privacy, risk management, and operational

Qualifications

• 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.
• AI/ML Expertise: Demonstrated success integrating and scaling AI/ML products (LLMs, agents, predictive models) within production environments.
• High Talent Density Hiring: Proven ability to recruit, retain, and develop elite technical talent.
• Architectural Oversight: Deep technical credibility across modern cloud architectures (GCP/AWS), APIs, microservices, and data pipelines.
• 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.
• Operational Rigor: Experience implementing documented feedback loops, succession planning, and zero-downtime delivery practices.
• Executive Presence: Strong cross-functional partnership skills with Marketing, Operations, BD, and the executive team.
• Excellent communication and influencing skills with both technical and business stakeholders.

Responsibilities

• AI Strategy & Roadmap Ownership: Define the technical and AI roadmap at Blooming Health.
• Engineering Excellence: Lead a lean, high-talent team for reliable AI/backend delivery.
• AI/ML Innovation & Scaling: Oversee AI/ML initiatives and scalable architectures.
• Capital Efficiency & Budget Stewardship: Manage budgets with clear ROI.
• Data Governance & AI Ethics: Enforce privacy, IAM, and risk mitigation standards.
• Cross-Functional Leadership: Align AI capabilities with company growth with other leaders.
• Talent Maturation & Succession Planning: Develop pipelines for AI/ML talent.
• Organizational Stability: Ensure knowledge transfer and zero-downtime during transitions.
• Global Technical Strategy: Architect systems for a distributed engineering footprint.
• AI Vision & Roadmap: Drive AI-first product strategy with LLMs and proprietary models.
• Strategic Risk Management: Balance innovation with security and compliance requirements.

Skills

Strategic Technical Leadership

AI/ML Expertise

High Talent Density Hiring

Architectural Oversight

Capital Efficiency

Compliance & Security

Operational Rigor

Executive Presence

Communication & Influence

Tools

GCP

AWS

APIs

Microservices

Data Pipelines

Job description

About Blooming Health

Blooming Health is on a mission to transform social care! Our AI-powered platform identifies social needs and barriers by continuously collecting real-time data from member interactions and screenings. 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. The result is improved access to care, higher program participation, and better outcomes across diverse populations. 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.

As we scale, we’re looking for a strategic and execution-driven Chief Technology Officer (CTO) to own our technical and AI strategy. We do have a strong preference for NY-based candidates, but it is not a requirement.

What You'll Do

AI Strategy & Roadmap Ownership: Serve as the primary architect for the technical and AI roadmap, pivoting the organization from tactical management to high-velocity, intelligence-driven delivery.

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.

AI/ML Innovation & Scaling: Oversee the integration and scaling of core AI/ML initiatives, ensuring robust architectures that maintain a competitive edge in the health-tech ecosystem.

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.

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.

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.

Global Technical Strategy: Architecting systems and strategy for a globally distributed engineering footprint, ensuring high performance across diverse regions.

AI Vision & Roadmap: Leading the organization’s pivot toward an AI-first product ecosystem, integrating LLMs and proprietary ML models into core offerings.

Strategic Risk Management: Balancing aggressive technical innovation with the security and compliance requirements of a scaling global enterprise.

What We're Looking For

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. Deep familiarity with modern AI architectures and the build-vs-buy decision framework.

• High Talent Density Hiring: Proven ability to recruit, retain, and develop elite technical talent. Track record of building lean, high-performing teams that out-execute much larger organizations.

• Architectural Oversight: Deep technical credibility across modern cloud architectures (GCP/AWS), APIs, microservices, and data pipelines. Capable of guiding strategic build-vs-buy and platform decisions and partnering effectively with senior architects.

• Capital Efficiency Discipline: Experience managing engineering and AI/research budgets with measurable ROI. History of reducing coordination overhead while maximizing output per dollar.

• 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.

• Operational Rigor: Experience implementing documented feedback loops, succession planning (“Shadow Pipelines”), and zero-downtime delivery practices that scale predictably under pressure.

• Executive Presence: Strong cross-functional partnership skills with Marketing, Operations, BD, and the executive team.

• Excellent communication and influencing skills with both technical and business stakeholders.

Preferred Qualifications:

• Healthcare Technology Experience: Direct experience in health tech, particularly with EHR integrations (Epic/Cerner, FHIR), HIPAA, and the payer/provider ecosystem. Strongly preferred.

• Distributed Team Leadership: Experience leading geographically distributed engineering and AI teams, including India-based teams, with sensitivity to communication, cultural nuance, and operational cadence for global teams.

• MLOps & Data Engineering: Familiarity with the MLOps lifecycle, model governance, and managing teams building data-intensive applications.

• Specific Stack Elements: GCP, MongoDB, PostgreSQL, Node.js, and modern AI/ML frameworks. Beneficial but less critical than leadership track record.