Vice President, Technology and Product (Remote)

M3USA•Fort Washington, PA

26d•Remote

About The Position

MDLinx, an M3 company, is seeking a builder to lead the next generation of physician engagement products and services. Reporting to the Chief Commercial Officer, the Vice President will oversee technology initiatives and product and engineering teams, and architect scalable solutions that deliver timely, relevant experiences to healthcare professionals in the US. The role brings product, design, and engineering together as an integrated team, owning the process from discovery and design through development, release, and iteration. It calls for close engagement with physicians and pharma clients, strong product judgment, rapid prototyping, and an emphasis on measurable impact. The Vice President will own the MDLinx product vision and roadmap across physician-facing experiences and pharma engagement products. The role leads experimentation and a forward-deployed engineering model, with engineers working directly with internal stakeholders and clients to develop live prototypes and turn validated ideas into platform capabilities. It also leads application development and data engineering, AI-native development practices, AI capabilities for content and personalization, first-party data strategy, and technical direction and architecture. The position operates with a high degree of autonomy within M3 USA engineering standards and technology plans.

Requirements

12+ years of experience in product and engineering.
At least 5 years leading product, design, and engineering as one integrated team, with managers reporting to you.
Experience taking a product from 0 to 1, from initial idea through first paying customers, as a founder, early employee, or leader of a new venture within a larger company, with specific measurable results.
Experience building engagement products with proven retention, such as interactive, community, or personalized experiences, and evidence of their effect on return visits and engagement depth.
Experience establishing and running a forward-deployed engineering model or comparable embedded model, with engineers working directly alongside clients and business stakeholders.
Experience making and owning architecture decisions for a high-traffic production platform with high-availability requirements, on modern cloud and event-driven infrastructure.
Experience using AI coding agents as a standard development practice and demonstrating their effect on cycle time and output.
Experience shipping production AI applications, recommendation systems, and real-time personalization to users.
Experience with first-party data, including event instrumentation, identity resolution, unified profiles, and activation through a customer data platform, designed privacy-first.
Experience with A/B testing, feature flags, and rollback infrastructure, and sound statistical judgment to distinguish real signal from noise.
Ability to distinguish engagement metrics from insight into what users know and believe.
Ability to keep teams small and fast, ship in days rather than quarters, and hold teams accountable for outcomes that matter to physicians and clients.
Ability to make timely decisions about what to test and act on evidence by scaling, retiring, or redeploying efforts.
Ability to operate autonomously within a larger organization while moving at startup speed and following M3 USA standards.

Nice To Haves

AWS experience is preferred.

Responsibilities

Own the product vision and roadmap across physician-facing experiences and pharma engagement products.
Lead product, design, and engineering as one integrated team.
Develop new ways for pharma brands to reach and help physicians, and create experiences physicians choose to return to.
Build a culture of rapid experimentation, prototyping ideas, testing them with physicians and clients, and iterating based on feedback.
Spend regular time with physicians and pharma clients and use field insights to guide product development.
Set up and run a forward-deployed engineering model in which engineers work directly with internal business stakeholders and clients.
Turn valuable client engagements and prototypes into platform capabilities; scale what works and retire what does not.
Lead application development and data engineering, directly and through team leads, keeping teams focused on outcomes.
Make AI-native development the default way the team works and ship AI capabilities such as personalization, recommendation, and content intelligence as core product features.
Build a platform that supports rapid experimentation, including launching, testing, and rolling back changes without destabilizing core products.
Operate MDLinx product and technology autonomously within M3 USA engineering standards and technology plans.
Instrument experiences to generate signals about physician knowledge, attitudes, and behavior.
Own the first-party data strategy with the data engineering team, serving product and commercial needs.
Lead generative AI for content creation, summarization, curation, and medical literature analysis.
Build recommendation and real-time personalization engines, and predictive models for content affinity and engagement propensity.
Own technical direction and architecture using a modular, composable platform designed for rapid deployment and experimentation.
Architect infrastructure to capture, unify, and activate physician behavioral signals, including unified physician profiles, for product and commercial use.
Make clear technical tradeoffs to engineers, physicians, pharma clients, and executives, and treat Editorial, Sales, and Marketing as co-builders.