As a Senior Sales Manager, you will drive the commercial growth of a cutting-edge AI-powered cancer diagnostics platform across the United States. Operating remotely, you will focus on securing multi-year licensing agreements with major hospital networks and clinical laboratories, shaping the future of precision oncology through transformative technology.
Key Responsibilities
- Build and manage a pipeline of U.S.-based customers, structuring both direct and partner-led deals that result in sustained license agreements.
- Design and implement a sales strategy focused on accelerating revenue growth and consistently surpassing booking targets.
- Cultivate trusted relationships with key decision-makers, including C-suite executives and senior clinical leaders, to position the platform as the preferred diagnostic solution.
- Clearly communicate the clinical and operational value of the technology to diverse stakeholders such as pathologists, IT leaders, and hospital administrators.
- Act as a liaison between customers and internal teams, sharing insights on market dynamics, competitive trends, and user needs.
- Manage the full SaaS sales lifecycle—from prospecting to negotiation to close—with precision and strategic insight.
Qualifications
- Demonstrated success in high-growth or startup environments with complex, enterprise-level sales cycles.
- Proven ability to collaborate effectively, stay organized under pressure, and maintain a driven, results-oriented approach.
- Experience engaging clinicians, healthcare executives, and technical teams in mission-critical solution evaluations.
- Background in medical technology, clinical software, or healthcare IT sales with a track record of closing high-value deals.
Our Culture
We are united by a shared commitment to advancing cancer care through innovation. Our team values professionalism, collaboration, and the profound impact our work has on patients and providers alike. If you are motivated by purpose and excellence, this role offers a unique opportunity to shape the adoption of AI in oncology diagnostics.
