Sr. Product Manager - Patient Recruitment

About Us:

CenExel Clinical Research, Inc. ("CenExel") is a leading nationwide clinical research site and patient network serving the life sciences industry. Leading in CNS and early phase studies, our 18 science-led Centers of Excellence deliver the right patients, at the right time, in the right place. Recently acquired by BayPine Capital Partners, our research sites provide unparalleled medical and scientific support in the design and execution of clinical trials. Our world-class PIs, advanced patient engagement strategies, premium data analytics, and integrated operations optimize every step of the clinical trial process.

Along with an exceptional work environment that promotes teamwork, positive leadership, and optimal work-life balance, CenExel Clinical Research also provides highly competitive compensation and a generous benefits package to full time employees after 30 days of employment including Health Insurance, Dental, Vision, LTD, STD, Life Ins, and 401k.

Job Summary:

The Senior Product Manager - Patient Recruitment will own the product strategy and measurable business impact of CenExel’s patient recruitment capabilities, from the consented patient database and study feasibility through lead generation, follow-up, scheduling, engagement and no-show reduction. This role is responsible to build a differentiated asset that helps CenExel connect the right patients with study opportunities.

Essential Responsibilities and Duties:Product leadership and accountability

• Leads one portfolio across Pulse recruitment and outreach, the patient database, packaged platforms, integrations, data, automation and AI, including voice and SMS capabilities.

• Balances patient experience with recruiter productivity, site needs and commercial priorities, with a reliable handoff into site operations.

• Co-leads a product pod with the technical lead, owning product value, business viability and priorities while engineering owns technical feasibility and quality. Together with data and business partners, own results from discovery through delivery, adoption and continuous improvement.

• Patient and employee discovery. Builds trusted relationships with patient recruitment, patient liaisons, site teams and business development. Spends regular time onsite observing work and leading discovery with users. Connects recurring friction to broader opportunities and measurable outcomes.

• Database and commercial value. Partners with business development and patient recruitment to use the consented patient database for study feasibility, RFP responses and recruitment. Improves coverage, quality, consent management and usability through internal capabilities and appropriate third-party sources.

• Recruitment journey and prioritization. Owns an outcome-based roadmap and business cases across acquisition, leads follow-up, conversion, scheduling, engagement and retention. Identifies funnel bottlenecks, tests improvements, and prioritizes based on patient needs, business value and available capacity.

• AI and connected workflows. Partners with data and AI on matching, prioritization, next-best actions, forecasting and employee productivity. Validates usefulness and appropriate human oversight. Works with operations and engineering to ensure patient data and workflows transition reliably into site operations.

• Full-cycle execution. Turns discovery into clear priorities, prototypes, user stories and acceptance criteria. Makes trade-offs explicit, manages dependencies and works closely with engineering through delivery. Retains internal product ownership when working with vendors and delivery partners.

Measurement and continuous improvement

• Establishes baselines for database coverage and quality, feasibility response time, lead response time, conversion, screening attendance, no-show rates, enrollment, retention and recruiter productivity. Assesses recruitment cost and patient experience alongside adoption, and connects results to study delivery and business value.

• Takes hands-on responsibility for defining and implementing product instrumentation with engineering and data and AI, then establishes baselines and targets with business owners. Uses evidence to improve, scale or stop investments. Communicates progress, risks and decisions clearly to executive and frontline stakeholders.

• Prototypes ideas directly using AI and other rapid development tools to get user feedback and sharpen requirements. Embraces an AI-augmented software development lifecycle while partnering with engineering, privacy, compliance and quality on appropriate controls and validation.

Supports and ensures strictest adherence to best practices, FDA Code of Federal Regulations, ICH (International Conference on Harmonization), GCP (Good Clinical Practices), CenExel standard operating procedures, site working Practices, protocol, and company guidelines and policies.

Assumes other duties and responsibilities as assigned. The above responsibilities are a general description of the level and nature of the work assigned to this classification and are not to be considered as all inclusive.

Education/Experience/Skills:

• Bachelor’s degree in a relevant field or equivalent practical experience.

• Typically 7 or more years of product management experience, with evidence of independently owning complex products from discovery through launch, adoption and measurable business results.

• Experience with CRM, marketing technology, lifecycle marketing, sales enablement, commercial products, lead management, patient engagement or clinical-trial technology.

• Healthcare or clinical research experience is helpful; demonstrated success in comparable complex environments is equally relevant.

• Ability to build trust across a multi-site organization, resolve competing priorities and lead without formal authority. Experience in established organizations, or comparable operational complexity, with a pragmatic approach to change.

• Hands-on product practice. Strong discovery, user-centered design, analytics and experimentation skills.

• Able to define instrumentation and metrics, build business cases, and work at both strategic and detailed delivery levels in a small team.

• Technical and AI fluency. Comfort working across custom software, packaged systems, APIs, integrations and data.

• Active experience exploring AI tools and building prototypes, with sound judgment about their limitations.

• Clear written and verbal communication is essential.

Working Conditions

• Indoor, Office environment.

• Essential physical requirements include sitting, typing, standing, and walking.

• Lightly active position, occasional lifting of up to 20 pounds.

• Reporting to work, as scheduled, is essential.

• Remote or Hybrid work arrangement.

• Regular site engagement and occasional travel to clinics and corporate offices are required for discovery, stakeholder collaboration and rollout.

CenExel Clinical Research is an Equal Opportunity Employer. All applicants will be considered for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or status.