Vice President, Technology and Product

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Vice President, Technology and Product based in the United States. This is a senior technology and product leadership role focused on transforming digital healthcare engagement through AI, data, and innovative platform capabilities. You will define and execute a forward-looking technology strategy spanning product development, engineering, AI/ML, data infrastructure, MarTech, and physician community experiences. The role combines strategic vision with a strong emphasis on experimentation, rapid prototyping, and measurable business impact. You will shape platforms that enable personalized, omnichannel engagement while maintaining high standards for scalability, security, privacy, and healthcare compliance. The position requires close collaboration across Product, Editorial, Sales, Marketing, Data, and global technology teams to translate business opportunities into scalable technical solutions. You will also build and lead high-performing engineering teams, establish a test-and-learn culture, and champion emerging technologies such as generative AI and real-time personalization. This is an opportunity to influence the evolution of a large-scale healthcare technology ecosystem serving millions of users and supporting sophisticated digital engagement programs.

Define and execute the technology and product roadmap, with a strong focus on AI-driven personalization, content intelligence, experimentation, and innovative digital experiences. Partner closely with Product, Editorial, Sales, Marketing, Data, and other business functions to translate strategic priorities and customer needs into scalable technical solutions. Lead the development of AI and machine learning capabilities, including recommendation engines, predictive engagement models, generative AI applications, automated content analysis, classification, and knowledge graphs. Architect and scale robust digital platforms, APIs, integration layers, first-party data infrastructure, personalization engines, and modular systems that enable rapid feature deployment and experimentation. Build and evolve a modern MarTech ecosystem incorporating customer data platforms, marketing automation, omnichannel orchestration, audience segmentation, and privacy-conscious activation capabilities. Establish a comprehensive experimentation framework, including A/B testing, feature flagging, rapid prototyping, innovation sprints, and MVP development to support data-driven product decisions. Develop community and engagement capabilities that enable healthcare professionals to collaborate, exchange knowledge, contribute content, and participate in discussion, peer review, ratings, and other social experiences. Establish a first-party data strategy that unifies behavioral, preference, and interaction signals while supporting privacy-compliant targeting, secure data collaboration, and predictive analytics. Build and scale a high-performing engineering organization, fostering a culture of innovation, continuous learning, rapid iteration, and measurable business impact. Create cross-functional teams combining engineering, data science, product, and growth expertise, while partnering with talent teams to attract and develop specialized AI/ML and growth engineering talent. Ensure technology platforms meet high standards for reliability, security, scalability, privacy, and healthcare compliance, including applicable regulatory requirements such as HIPAA. Evaluate and manage strategic relationships with MarTech, AI/ML, advertising technology, data enrichment, and other technology partners while optimizing technology investment around measurable ROI. Collaborate with broader technology teams on shared AI initiatives, data strategies, and platform capabilities, and communicate technology strategy, innovation progress, and experimentation outcomes to senior executives and board-level stakeholders. Requirements: Bring 7+ years of progressive technology leadership experience, including 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, ideally supporting platforms with millions of users and high availability requirements. Have a strong track record delivering AI/ML initiatives, generative AI applications, rapid prototypes, experimentation frameworks, and data-driven product capabilities into production environments. Possess deep knowledge of AI/ML platforms, large language models, generative AI, recommendation systems, predictive analytics, and real-time personalization technologies. Bring strong understanding of 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. Be comfortable with modern cloud platforms and event-driven architectures, with experience in environments such as AWS preferred, as well as scalable APIs and integration frameworks. Demonstrate strong strategic thinking while remaining comfortable with hands-on experimentation, rapid iteration, hypothesis-driven development, and MVP-oriented delivery. Possess excellent communication and stakeholder management skills, with the ability to engage effectively with technical teams, business leaders, executive stakeholders, and external partners. Show a proven ability to build high-velocity engineering organizations, develop technical talent, and create 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 platforms such as Segment, mParticle, or Adobe Experience Platform, as well as healthcare interoperability standards such as FHIR and HL7, is advantageous. Experience with Design Sprints, Lean Startup methodologies, developer ecosystems, API marketplaces, or high-growth and private-equity-backed environments is also valued. Benefits: Competitive compensation package. Health and dental coverage. Life, accident, and disability insurance. Prescription plan. Flexible Spending Account (FSA). 401(k) plan with employer matching. Paid holidays and vacation. Sick days and personal days.

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