Vice President, Technology and Product

Posted Sep 28

This is a fully remote position, open to applicants in United Kingdom, +1 more country.

📋 Description

• Define and implement the technology roadmap centered on AI-driven personalization and content intelligence.

• Advocate for rapid prototyping and experimentation across engineering and product teams.

• Convert business requirements into technical solutions in collaboration with Product, Editorial, Sales, and Marketing teams.

• Lead AI/ML projects focused on content curation, recommendation engines, and predictive physician engagement.

• Establish A/B testing frameworks and data-driven decision-making processes.

• Foster innovation sprints and hackathons.

• Create community platforms that facilitate peer-to-peer engagement among healthcare professionals.

• Develop a comprehensive MarTech stack that includes CDP, marketing automation, and omnichannel orchestration.

• Design first-party data infrastructure and unified physician profiles.

• Create scalable APIs and integration layers for pharmaceutical partner platforms and data exchanges.

• Implement real-time personalization engines leveraging machine learning and behavioral targeting.

• Ensure platform reliability, security, and compliance with healthcare industry regulations.

• Build and expand a high-performing engineering organization.

• Set aside time for innovation and conduct regular hackathons.

• Adopt an agile development approach focusing on swift iterations and MVP strategies.

• Establish cross-functional pods that integrate engineering, data science, and growth teams.

• Collaborate with HR on talent acquisition initiatives aimed at securing AI/ML and growth engineering talent.

• Develop first-party data strategies, CDP capabilities, data clean rooms, and privacy-centric targeting frameworks.

• Create predictive models to assess content affinity, engagement propensity, and lifetime value.

• Spearhead generative AI transformation for content creation, summarization, medical literature analysis, and insight extraction.

• Build ML pipelines for content tagging, classification, and knowledge graphs.

• Design features for physician communities, social elements, user-generated content, moderation, and quality control systems.

• Develop programs for gamification, social proof, referrals, and advocacy.

• Evaluate and integrate MarTech vendors while establishing AI/ML and data partnerships.

• Manage relationships with advertising technology partners.

• Collaborate with M3 global technology teams on AI initiatives and data strategies.

• Present technology strategies and experimentation outcomes to the board and executive stakeholders.

• Optimize technology expenditures based on ROI from rapid prototyping and MVP validation.


⛳️ Requirements

• Over 7 years of progressive leadership experience in technology.

• At least 3 years of experience managing engineering teams.

• Proven experience in digital publishing, content management, or healthcare technology sectors.

• Experience scaling platforms that serve millions of users with stringent availability requirements.

• Demonstrated success in the implementation of AI/ML and rapid prototyping initiatives.

• Background in establishing experimentation frameworks and data-driven product development.

• Proven track record in developing community platforms and systems for user-generated content.

• Deep knowledge of AI/ML platforms, LLMs, and generative AI applications.

• Experience with MarTech ecosystems, including CDPs, DMPs, marketing automation, and attribution.

• Proficient in building community platforms and systems for user-generated content.

• Strong background in experimentation platforms and feature flagging systems.

• Knowledge of first-party data strategies, identity resolution, and privacy-compliant targeting practices.

• Experience with real-time personalization, recommendation engines, and predictive analytics.

• Familiarity with modern cloud platforms, preferably AWS, and event-driven architectures.

• Strategic vision combined with a hands-on approach to experimentation and rapid iteration.

• Strong advocate for data-driven decision-making and hypothesis-driven development.

• Ability to cultivate and champion a test-and-learn culture.

• Excellent communication skills for engaging both technical and non-technical stakeholders.

• Experience in driving growth through technical innovation and swift market testing.

• Proven experience in building high-velocity engineering teams focused on delivering business impact.

• Preferred: experience in creating professional communities or social platforms within healthcare/medical sectors.

• Preferred: background in programmatic advertising, ad tech, and yield optimization.

• Preferred: familiarity with Customer Data Platforms such as Segment, mParticle, and Adobe Experience Platform.

• Preferred: experience with rapid prototyping methodologies like Design Sprints and Lean Startup.

• Preferred: successful implementation of generative AI in production environments.

• Preferred: knowledge of FHIR and HL7 standards.

• Preferred: experience in growth engineering and conversion rate optimization.

• Preferred: background in developer ecosystems and API marketplaces.

• Preferred: previous experience in private equity portfolio companies or high-growth environments.


🏝️ Benefits

• Health and Dental coverage.

• Life, Accident, and Disability Insurance.

• Prescription Plan.

• Flexible Spending Account.

• 401k Plan with Matching.

• Paid Holidays and Vacation time.

• Sick Days and Personal Days.

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