Vice President, Technology and Product
New
J
JobgetherDigital healthcare
Based in the United StatesFull-TimeVp
Salary not disclosed
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Job Details
- Experience
- 7+ years of progressive technology leadership experience, including at least 3 years managing and scaling engineering teams
- Required Skills
- AWSArtificial IntelligenceMachine LearningRESTful APIsLLMGenerative AI
Requirements
- Bring 7+ years of progressive technology leadership experience.
- Have at least 3 years managing and scaling engineering teams in complex digital environments.
- Demonstrate experience in digital publishing, content platforms, healthcare technology, or similarly sophisticated technology ecosystems.
- Have a track record delivering AI/ML initiatives, generative AI applications, rapid prototypes, experimentation frameworks, and data-driven product capabilities into production.
- Know AI/ML platforms, large language models, generative AI, recommendation systems, predictive analytics, and real-time personalization technologies.
- Understand MarTech ecosystems, including CDPs, DMPs, marketing automation, attribution, audience activation, and omnichannel engagement.
- Have experience developing community platforms, professional networks, user-generated content systems, moderation capabilities, and digital engagement features.
- Demonstrate expertise in first-party data strategies, identity resolution, privacy-conscious targeting, behavioral data activation, and secure data collaboration.
- Have experience with modern cloud platforms and event-driven architectures; AWS is preferred, along with scalable APIs and integration frameworks.
- Be comfortable with hands-on experimentation, rapid iteration, hypothesis-driven development, and MVP-oriented delivery.
- Have a proven ability to build high-velocity engineering organizations, develop technical talent, and foster a culture centered on experimentation, learning, and business outcomes.
- Experience with healthcare or medical professional communities, programmatic advertising, ad tech, yield optimization, growth engineering, conversion optimization, or API ecosystems is a plus.
- Familiarity with Segment, mParticle, Adobe Experience Platform, FHIR, or HL7 is advantageous.
Responsibilities
- Define and execute the technology and product roadmap, focusing on AI-driven personalization, content intelligence, experimentation, and digital experiences.
- Partner with Product, Editorial, Sales, Marketing, Data, and other business functions to translate priorities and customer needs into scalable technical solutions.
- Lead development of AI and machine learning capabilities, including recommendation engines, predictive engagement models, generative AI applications, and automated content analysis.
- Architect and scale digital platforms, APIs, integration layers, first-party data infrastructure, personalization engines, and modular systems.
- Build and evolve a MarTech ecosystem with customer data platforms, marketing automation, omnichannel orchestration, audience segmentation, and privacy-conscious activation.
- Establish experimentation frameworks for A/B testing, feature flagging, rapid prototyping, innovation sprints, and MVP development.
- Develop community capabilities for healthcare professionals to collaborate, exchange knowledge, contribute content, and participate in discussions and peer review.
- Establish a first-party data strategy that unifies behavioral, preference, and interaction signals while supporting privacy-compliant targeting and predictive analytics.
- Build and scale engineering teams and foster innovation, continuous learning, rapid iteration, and measurable business impact.
- Ensure platforms meet reliability, security, scalability, privacy, and healthcare compliance requirements, including applicable requirements such as HIPAA.
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