Vice President, Technology and Product

Job not on LinkedIn

🔥 0 minutes ago

🌐 United Kingdom, United States – Remote

🇬🇧 United Kingdom – Remote 🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

👔 Vice President

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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M3 USA

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

M3 USA is a company that specializes in providing market research, recruitment, and promotional solutions to the healthcare industry. They focus on connecting healthcare professionals, particularly physicians, with tools and resources that improve the practice of medicine. Through a variety of services, including qualitative and quantitative market research, multi-channel promotion, healthcare recruitment, and clinical trials, M3 USA supports the life sciences industry by enabling healthcare professionals to stay informed and provide optimal care. A subsidiary of M3 Inc. , M3 USA is engaged with leading pharmaceutical companies and offers extensive research capabilities across Europe and the U. S. They are known for their data-driven intelligence and their efforts in building networks within the healthcare community.

📋 Description

• Define and execute the technology roadmap focused on AI-driven personalization and content intelligence • Champion rapid prototyping and experimentation across engineering and product teams • Translate business needs into technical solutions with Product, Editorial, Sales, and Marketing teams • Lead AI/ML initiatives for content curation, recommendation engines, and predictive physician engagement • Establish A/B testing infrastructure and data-driven decision-making frameworks • Drive innovation sprints and hackathons • Build community platforms enabling peer-to-peer engagement among healthcare professionals • Develop an integrated MarTech stack with CDP, marketing automation, and omnichannel orchestration • Architect first-party data infrastructure and unified physician profiles • Design scalable APIs and integration layers for pharmaceutical partner platforms and data exchanges • Implement real-time personalization engines using machine learning and behavioral targeting • Ensure platform reliability, security, and healthcare-industry compliance • Build and scale a high-performing engineering organization • Establish innovation time and regular hackathons • Implement agile development emphasizing quick iterations and MVP approaches • Create cross-functional pods combining engineering, data science, and growth teams • Partner with HR on talent acquisition focused on AI/ML and growth engineering • Build first-party data strategies, CDP capabilities, data clean rooms, and privacy-first targeting architecture • Develop predictive models for content affinity, engagement propensity, and lifetime value • Lead generative AI transformation for content creation, summarization, medical literature analysis, and insight extraction • Build ML pipelines for content tagging, classification, and knowledge graphs • Design physician-community features, social layers, user-generated content, moderation, and quality-control systems • Develop gamification, social proof, referral, and advocacy programs • Evaluate and integrate MarTech vendors and build AI/ML and data partnerships • Manage advertising technology partner relationships • Collaborate with M3 global technology teams on AI initiatives and data strategies • Present technology strategy and experimentation results to the board and executive stakeholders • Optimize technology spend based on ROI from rapid prototyping and MVP validation

🎯 Requirements

• 7+ years of progressive technology leadership experience • 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 • Deep understanding of AI/ML platforms, LLMs, and generative AI applications • Experience with MarTech ecosystems, including CDPs, DMPs, marketing automation, and 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 • Strategic vision balanced with hands-on experimentation and a rapid iteration mindset • Strong advocate for data-driven decision making and hypothesis-driven development • Ability to build and champion a test-and-learn culture • Excellent communication skills for technical and non-technical stakeholders • Experience driving growth through technical innovation and rapid market testing • Track record of building high-velocity engineering teams focused on business impact • Preferred: experience building professional communities or social platforms in healthcare/medical sectors • Preferred: background in programmatic advertising, ad tech, and yield optimization • Preferred: knowledge of Customer Data Platforms such as Segment, mParticle, and Adobe Experience Platform • Preferred: experience with rapid prototyping methodologies such as Design Sprints and Lean Startup • Preferred: track record implementing generative AI in production environments • Preferred: familiarity with FHIR and HL7 • Preferred: experience with 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 • Life, Accident and Disability Insurance • Prescription Plan • Flexible Spending Account • 401k Plan and Match • Paid Holidays and Vacation • Sick Days and Personal Day