Vice President, Technology and Product

Accountabilities:

• 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.