Talent Acquisition Manager

About Profound Research Profound Research partners with community physicians to offer clinical trials as a therapeutic option for their patients. We handle all infrastructure, regulatory compliance, and administrative operations so physicians can focus on patient care. Our model gives patients access to the newest therapies while maintaining the trusted patient-physician relationship. Our Mission: Improving lives by providing advanced therapeutic options Our Vision: Creating the absolute best patient-physician experience in clinical research Our Values: Compassion: We prioritize the patient-physician relationship, ensuring every interaction is service-oriented and patient-centered

Why This Role Exists The Talent Acquisition Manager owns how we attract, assess, and hire talent across Profound. As Profound Research grows, our ability to consistently attract and hire exceptional people will be critical to building strong teams and delivering on our mission. This is a hands-on builder role for someone who is as comfortable recruiting great people as they are improving the systems and practices behind the work.

You will partner closely with leaders by understanding what their teams need, bringing perspective on the talent market, and helping them make thoughtful hiring decisions. At the same time, you will continue building a talent acquisition function that can grow with the organization, creating the right amount of structure, developing stronger talent pipelines, and finding better ways to work as our needs evolve.

This role is a strong fit for someone who sees talent acquisition as more than filling open positions. You are curious about what makes an organization successful, willing to challenge an approach that is not working, and energized by the opportunity to build while you execute.

What You’ll Do

Build a Scalable Talent Acquisition Function Own and continuously improve Profound’s talent acquisition approach, creating practical systems and processes that support quality, consistency, and growth without unnecessary complexity