[Hiring] Vice President, Technology and Product @M3USA

Role Description

Due to our continued growth, we are hiring for a Vice President, Technology and Product to join MDLinx, an M3 company.

Strategic Leadership

• Define and execute the technology roadmap with a focus on AI-driven personalization and content intelligence.
• Champion rapid prototyping and experimentation culture across engineering and product teams.
• Partner with Product, Editorial, Sales, and Marketing teams to translate business needs into technical solutions.
• Lead AI/ML initiatives for content curation, recommendation engines, and predictive physician engagement.
• Establish an experimentation framework with an A/B testing infrastructure and data-driven decision-making.
• Drive innovation sprints and hackathons to accelerate the development of new features.

Platform & Architecture

• Build robust community platforms enabling peer-to-peer engagement among healthcare professionals.
• Develop a comprehensive MarTech stack integrating CDP, marketing automation, and omnichannel orchestration.
• Architect first-party data infrastructure to capture, unify, and activate physician behavioral signals.
• Design scalable APIs and integration layers for pharmaceutical partner platforms and data exchanges.
• Implement real-time personalization engines leveraging machine learning and behavioral targeting.
• Create a modular, composable architecture supporting rapid feature deployment and experimentation.
• Ensure platform reliability, security, and compliance with healthcare industry standards (HIPAA, etc.).

Team Development & Management

• Build and scale a high-performing engineering organization embracing experimentation and innovation.
• Foster a culture of rapid prototyping, fail-fast mentality, and continuous learning.
• Establish innovation time (20% projects) and regular hackathons for creative exploration.
• Implement agile development with emphasis on quick iterations and the MVP approaches.
• Create cross-functional pods combining engineering, data science, and growth teams.
• Partner with HR on talent acquisition, focusing on AI/ML and growth engineering expertise.

Data & Analytics

• Build a comprehensive first-party data strategy to create a competitive advantage in physician engagement.
• Develop unified physician profiles aggregating behavioral, preference, and interaction data across touchpoints.
• Implement a customer data platform (CDP) for real-time audience segmentation and activation.
• Create data clean rooms for secure collaboration with pharmaceutical partners.
• Design privacy-first architecture supporting targeted advertising without third-party cookies.
• Build predictive models for content affinity, engagement propensity, and lifetime value.

AI & Innovation

• Lead AI transformation with a focus on generative AI for content creation and summarization.
• Implement LLMs for automated medical literature analysis and insight extraction.
• Develop an experimentation platform that enables the rapid testing of new features and algorithms.
• Create an innovation lab for exploring emerging technologies (voice interfaces, AR/VR, etc.).
• Build ML pipelines for automated content tagging, classification, and knowledge graphs.
• Foster a fail-fast mentality with a structured approach to proof-of-concepts and MVPs.

Community & Engagement

• Design and implement features for the physician community, enabling peer collaboration and knowledge sharing.
• Build social layers, including discussion forums, case studies, and peer review systems, to foster a collaborative environment.
• Develop gamification strategies to increase engagement and platform stickiness.
• Create user-generated content platforms with moderation and quality control systems.
• Implement social proof mechanisms (ratings, reviews, endorsements) for content and CME programs.
• Build referral and advocacy programs leveraging network effects.

Vendor & Stakeholder Management

• Evaluate and integrate best-in-class MarTech vendors across the marketing technology stack.
• Build strategic partnerships with AI/ML platform providers and data enrichment services.
• Manage relationships with advertising technology partners for programmatic capabilities.
• Collaborate with M3 global technology teams on shared AI initiatives and data strategies.
• Present the technology strategy and experimentation results to the board and executive stakeholders.
• Optimize technology spend with a focus on ROI from rapid prototyping and MVP validation.

Qualifications

• 7+ years of progressive technology leadership experience, with at least 3 years managing engineering teams.
• Proven track record in digital publishing, content management, or healthcare technology sectors.
• Experience scaling platforms serving millions of users with high availability requirements.
• Demonstrated success in AI/ML implementation and rapid prototyping initiatives.
• Background in building experimentation frameworks and data-driven product development.
• Track record in community platform development and user-generated content systems.

Requirements

• Deep understanding of AI/ML platforms, LLMs, and generative AI applications.
• Experience with MarTech ecosystems (CDPs, DMPs, marketing automation, attribution).
• Proficiency in building community platforms and user-generated content systems.
• Strong background in experimentation platforms and feature flagging systems.
• Knowledge of first-party data strategies, identity resolution, and privacy-compliant targeting.
• Experience with real-time personalization, recommendation engines, and predictive analytics.
• Familiarity with modern cloud platforms (AWS preferred) and event-driven architectures.

Preferred Qualifications

• Experience building professional communities or social platforms in healthcare/medical sectors.
• Background in programmatic advertising, ad tech, and yield optimization.
• Knowledge of Customer Data Platforms (Segment, mParticle, Adobe Experience Platform).
• Experience with rapid prototyping methodologies (Design Sprints, Lean Startup).
• Track record implementing generative AI in production environments.
• Familiarity with healthcare data interoperability standards (FHIR, HL7).
• Experience with growth engineering and conversion rate optimization.
• Background in building developer ecosystems and API marketplaces.
• Previous experience in private equity portfolio companies or high-growth environments.

Benefits

• Health and Dental
• Life, Accident and Disability Insurance
• Prescription Plan
• Flexible Spending Account
• 401k Plan and Match
• Paid Holidays and Vacation
• Sick Days and Personal Day