Chief Product Officer

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Reporting to: Chief Operating Officer (COO)

Location/Travel: This position can be based remotely. Strong preference for San Francisco Bay area, the Washington, D.C. Area, Mid-Atlantic, or Northeast US. Get Well’s headquarters are in Bethesda, Maryland.

• Ability to travel up to 25%.

Get Well is seeking a Chief Product Officer to own and drive the product lifecycle across our full portfolio of products, from ideation and product launch to scaling for revenue growth. The CPO will own and deliver on the product roadmap, with the ability to translate strategic vision into tangible product initiatives. He/She will apply AI to product design and development, embracing and leveraging evolving AI technologies and collaborating with engineering teams to create disruptive AI products from scratch. The VP of Product will be responsible for the overall success of product features and coordinating cross-functional activities involved in product development, release, and customer success. He/She will work alongside the CEO to set overall product strategy and drive the product team to execute and deliver on this strategy.

The CPO is someone who operates at a fast pace and is willing to roll up their sleeves and get into the weeds with the product and engineering teams while simultaneously lifting up to inform long term strategic priorities.

Responsibilities:

• Partner with the CEO and COO to lead the development and implementation of Get Well’s strategic product vision. Drive end-to-end execution and delivery; oversee ideation to product launches to scaling the business through revenue growth.
• Conduct in-depth market and customer assessments to analyze buyers and users, define value propositions for each segment, foster innovation, and develop high-value use cases. Convert insights into detailed Product Requirement Documents (PRDs) for high-performing enterprise SaaS products.
• Design and deliver revolutionary user experiences and intuitive interfaces to enhance customer adoption, driving high-performing products for customer value and business revenues.
• Design and establish SaaS business models through recurring revenues.
• Develop pricing models and GTM models for successful product launches (within healthcare).
• Demonstrate a commitment to customer success, satisfaction, and retention through continuous improvement.
• Apply the latest AI technologies and collaborate with engineering teams to build disruptive AI products in a fast-paced, iterative manner.
• Work in collaboration with technology and data teams to implement data strategies, Large Language Models (LLMs), AI-driven insights, and more into usable and intuitive products.
• Exhibit a strong penchant for customer engagement, actively seeking to understand their key needs; integrate customer feedback into SaaS solutions and platform development.
• Identify valid recurring-revenue opportunities derived from customer needs, simplifying healthcare problems and translating them into clear product requirements and workflow needs.

Requirements:

• Bachelor’s degree; engineering degree in CS or AI is a plus.
• 7-10+ years of experience in product management owning the entire product lifecycle, designing product roadmaps from conceptualization through launch while prioritizing critical must-haves (ideally building SaaS solutions in healthcare).
• Domain knowledge within the health tech space; broad understanding of payers and providers; ability to dig into and grasp the specific complexities of the healthcare industry.
• Proven track record of developing software used by patients and clinicians and ideally in large hospitals and IDNs and payers.
• Hands-on experience in developing solutions within the context of Electronic Health Record (EHR) workflows, clinical decision-making, chronic condition management, and related areas.
• Knowledge and experience of how to leverage large sets of data, synthesize and eventually commercialize (pricing, packaging, etc.).
• Eagerness to embrace challenges, with a “fire in the belly” mentality, ready for travel, fast-paced execution, hands-on involvement, and a proactive sense of urgency.
• Deep passion for cutting-edge AI and its diverse use cases.
• Technical acumen to effectively communicate and understand concepts within engineering teams.
• Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI in accordance with organizational policy and Federal, State, and local regulations.

Compensation Package:

Compensation will be highly competitive and dependent upon many factors including, but not limited to, education, experience, and skills. The estimated pay scale for this position is between $275,000 and $325,000 in base salary, plus bonus potential. In addition to compensation, Get Well offers a comprehensive benefit package, 401K and incentive plans, open paid-time away, paid leave programs, wellness reimbursement, cell phone subsidy, peer recognition programs, health advocacy and employee assistance programs, pet insurance, and so much more.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.