Akkodis

Sr. Product Manager

Louisville, Kentucky, USA · Senior · full-time

Sponsorship not specified$140k-$165kDetected 61 days ago

Product ManagementProduct StrategyLeadership

About the role

Your decisions will influence patient trust, clinical operations, and business growth, making this one of the most impactful product roles at the company.
For other opportunities available at Akkodis go to.
Our benefit offerings provide employees with the flexibility to choose the type of coverage that meets their individual needs.

You'll have real ownership, meaningful scope, and the opportunity to build products that genuinely improve lives.
Akkodis is looking for a Senior Product Manager to lead the strategy and evolution of our patient?facing digital experiences-products that directly power access to care, provider utilization, and company growth.
This is a highly visible, high?impact role where you'll own core patient journeys end to end.

In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

You'll set long?term vision while delivering meaningful results in the near term, partnering closely with engineering, design, data, clinical, and operations teams to solve complex problems at scale.
Experience in healthcare, health tech, or other regulated environments Why This Role Matters This role directly shapes how patients access care-and how providers deliver it.
In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair

Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance Pay Details: $140,000.00 to $160,000.00 per year Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to;br> The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.
An employer who violates this law shall be subject to criminal penalties and civil liability.

nsider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angele

This listing is sourced directly from Akkodis's careers page and normalized into a canonical job model.