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Director of Product Management (Remote)

M3USA
Remote, USA
Full-time
Senior
Remote
Discovered 2 weeks ago
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About the Business Unit

MDLinx Mission: Transform Omnichannel from Message Delivery to Belief Engineering

MDLinx is on the path to transform its business and product line-up from endemic to omnichannel engagement model, aiming at fulfilling the promise of true omnichannel approach to pharmaceutical brand promotion – “right message to the right physician at the right time on the right channel”. Our goal is to provide pharmaceutical brands with best-in-class personalized HCP engagement programs across the wider media ecosystem, designed to accelerate disease state and brand knowledge penetration, lead generation, and customer conversion. Our ambition is to leverage an omnichannel approach to establish a new philosophy for physician engagement, shifting from delivery to belief engineering.

Strategic Product Planning & Market Intelligence Conduct competitive, market trend, technology, and business model analyses to inform both short- and long-term product strategy; synthesize findings into actionable roadmap inputs. Translate audience behavior data, content engagement patterns, and qualitative feedback into a living product framework that drives roadmap and dev priorities

Conduct competitive, market trend, technology, and business model analyses to inform both short- and long-term product strategy; synthesize findings into actionable roadmap inputs.

Translate audience behavior data, content engagement patterns, and qualitative feedback into a living product framework that drives roadmap and dev priorities

Endemic Product Ownership (Physician Audience Experience) Own the physician-facing product surfaces end to end: the MDLinx destination, the mobile app, and the engagement products physicians use. Run a continuous experience experimentation calendar across information architecture, layout, recommendations, and onboarding. Maintain a test backlog with hypothesis, design, result, and decision.

Own the physician-facing product surfaces end to end: the MDLinx destination, the mobile app, and the engagement products physicians use.

Run a continuous experience experimentation calendar across information architecture, layout, recommendations, and onboarding. Maintain a test backlog with hypothesis, design, result, and decision.

Commercial Product Development (Pharma Brand Engagement) Own the roadmap for MDLinx commercial engagement products. Partner with Sales to translate pharma client needs into product features that serve the physician audience and drive commercial revenue.

Own the roadmap for MDLinx commercial engagement products.

Partner with Sales to translate pharma client needs into product features that serve the physician audience and drive commercial revenue.

Go-to-Market & Product Launch Lead product release and go-to-market launch activities: define launch strategy, messaging, success metrics, and accountability across functions for effective product adoption. Track post-launch adoption and engagement metrics; drive rapid iteration based on real-world performance.

Lead product release and go-to-market launch activities: define launch strategy, messaging, success metrics, and accountability across functions for effective product adoption.

Track post-launch adoption and engagement metrics; drive rapid iteration based on real-world performance.

Cross-Functional Partnership Facilitate strong partnerships across Sales, Marketing, Engineering, Leadership, and Client Services to drive product development from ideation through launch and ongoing maintenance. Own the cross-channel experience and cohesion.

Facilitate strong partnerships across Sales, Marketing, Engineering, Leadership, and Client Services to drive product development from ideation through launch and ongoing maintenance.

Own the cross-channel experience and cohesion.

Bachelor's degree in Product, Design, or a related field required.

Advanced certification in product management, UX, or AI/ML is a plus.

Participation in M3's AI training and upskilling is an expectation.

7 to 10 years in product management, shipping sophisticated digital products to a demanding professional audience. Premium media, publishing, subscription, or digital health. Healthcare experience is valued, not required.

Demonstrated track record of owning both audience-growth and commercial-client lines simultaneously.

Has shipped with engineers directly: technically credible enough to read code, engage on architecture trade-offs, and write a spec engineering can start from the same day.

Daily working fluency with AI tools (Claude, ChatGPT, Cursor, Copilot, or equivalent); has shipped or contributed to AI-driven product features, including personalization, recommendation, or content discovery.

Experience with agile delivery as a practitioner and team leader, not as a process manager.

Familiarity with analytics platforms (Google Analytics, Snowflake, Tableau, Hotjar, or similar).

Experience with content or media product stacks, including CMS and ESP/CDP, and personalization or recommendation surfaces preferred.

A career opportunity with M3USA offers competitive wages, and benefits such as:

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

*M3 reserves the right to change this job description to meet the business needs of the organization

#LI-MM1 #LI-Remote

Requirements

  • Bachelor's degree in Product, Design, or a related field required.
  • Advanced certification in product management, UX, or AI/ML is a plus.
  • Participation in M3's AI training and upskilling is an expectation.
  • 7 to 10 years in product management, shipping sophisticated digital products to a demanding professional audience. Premium media, publishing, subscription, or digital health. Healthcare experience is valued, not required.
  • Demonstrated track record of owning both audience-growth and commercial-client lines simultaneously.
  • Has shipped with engineers directly: technically credible enough to read code, engage on architecture trade-offs, and write a spec engineering can start from the same day.
  • Daily working fluency with AI tools (Claude, ChatGPT, Cursor, Copilot, or equivalent); has shipped or contributed to AI-driven product features, including personalization, recommendation, or content discovery.
  • Experience with agile delivery as a practitioner and team leader, not as a process manager.
  • Familiarity with analytics platforms (Google Analytics, Snowflake, Tableau, Hotjar, or similar).
  • Experience with content or media product stacks, including CMS and ESP/CDP, and personalization or recommendation surfaces preferred.

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