Full-Time Senior Product Manager

How will this role have an impact?

We are looking for a dynamic, passionate, and experienced Senior Product Manager to join the Signify Health team to help realize the product vision to provide any healthcare service, to any member or patient, where and when they need it. We expect Senior Product Managers to develop a deep understanding of our specific position in the healthcare ecosystem, our product vision, the value we deliver to customers & users, and our market differentiation. They will collaborate with and influence cross-functional peers including clinicians, analysts, operational teams, client success executives, and client support associates to ensure the long-term growth and success of Signify’s products. Our innovative products, industry, and competition are evolving and growing quickly, and we are excited to add to our collective expertise.

Our team is guided by the company’s mission to build a healthier place for us all to live and age in. If you’re looking for a rewarding career opportunity and working with a highly motivated and experienced cross functional team that is passionate about solving the hardest problems in the US healthcare system, this is the role for you.

This role will report to our Sr. Director of Product Management, Clinician Enablement. Within Signify’s product organization, this team focuses on improving the Clinician Network experience through technology powered experiences (e.g., mobile application strategy & development) and using these experiences to drive desired business outcomes.

What will you do?

● Communicate complex concepts, both written and verbally, to influence peers and stakeholders to make decisions or adjust approach when needed

● Proactively identify user or business needs and recommend innovative solutions. When necessary, drive tradeoff conversations and negotiate with teams and stakeholders to achieve roadmap objectives. Deliver incremental user value by having a cross-functional view of the problem.

● Develop a clear vision and short term and long-term roadmap with value definitions and measurable output; communicate this roadmap with customers and across the organization

● Observe and interview users across multiple product lines to aggregate and connect their feedback into defined problem statements

● Coordinate dependencies, communicate timelines, and manage stakeholder expectations across departments and product lines

● Understand high-level strategic levers and drivers of the business. Develop and measure KPIs for the product to define, track and communicate value delivery.

● Understand the healthcare industry, key trends, and current news and movement in the market.

We are looking for someone with:

● Innate curiosity, almost obsessively so, with a passion to share knowledge and challenge the status quo to uncover creative solutions.

● Acute focus on the user and able to express their perspective and what they need to ensure each problem statement clearly traces back to these core points.

● Skills to build a case around data and use it to explain the degree of a problem and to make strategic product decisions. When such data isn’t available, you lead the charge on gathering it.

● Ability to articulate the organizational or market value delivered in your last few releases to all levels of the company from R&D peers to executives. More importantly, you can tell the story of the value that is currently in your backlog or roadmap using data, KPIs, or expected financial results.

● You are passionate about transforming the US healthcare system and the way care is delivered and paid for with a wholehearted interest in diving into its complexity.

● You have a Bachelor’s degree

● You have 7 years of professional experience including 5 years of product experience.

Preferred Qualifications:

● Ability to work directly and independently with an engineering team to define roadmap, prioritize initiatives and achieve business objectives

● Knowledge and experience with event driven and service oriented software architecture is preferred

● Knowledge or experience in machine learning and AI is preferred but not required

● An MBA or Master’s degree in Computer Science is preferred but not required