M3usa
Client Success Consultant (Remote)
Fort Washington, PA, United States
Sponsorship not specifiedDetected 22 days ago
Account ManagementBusiness DevelopmentMedical DevicesResearchCommunicationOrganizational Skills
About the role
- M3 USA is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, pharmaceuticals, and more.
- Our success is anchored in our trusted digital platforms that engage physician communities globally, facilitating impactful medical education, precise job placement, and insightful market research.
- M3 USA prides itself on a dynamic and innovative work environment where every team member contributes to global health advancements.
Responsibilities
- Build strong relationships through proactive outreach and ongoing support
- Partner with clients during renewal cycles to strengthen relationships and identify growth opportunities
- Support onboarding and business development with data requests and new client setup
- Collaborate cross-functionally to ensure a seamless client experience
- Highly organized, detail-oriented, and able to manage multiple priorities
Requirements
- Deliver engaging client training sessions to drive product adoption and proficiency
- Bachelor's degree or equivalent experience
Nice to have
- Experience in media planning and familiarity with industry tools such as Telmar, Nielsen Clear Decisions, or MediaRadar.
Benefits
- A career opportunity with M3USA offers competitive wages, and benefits such as:
- Health and Dental
- Life, Accident and Disability Insurance
- Flexible Spending Account
- Paid Holidays and Vacation
- Since our inception in 2000, we've seen remarkable growth, fueled by our mission to utilize the internet for a healthier world and more efficient healthcare systems.
- Joining M3 USA means being part of a dedicated team striving to make a significant difference in healthcare.
- Experience in healthcare, pharma, media, or market research a plus
This listing is sourced directly from M3usa's careers page and normalized into a canonical job model.