Senior Product Manager, Fulfillment & Operational Transformation
New
P
PresenceTeletherapy technology
Location: Remote, US, Core Working Hours (Monday - Friday, 12 - 5 p.m. ET); standard business hours of 9 a.m. - 6 p.m. in your local time zone.Full-TimeSenior
Salary130,000 - 160,000 USD per year
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Job Details
- Experience
- 8+ Years of Product Management Experience
- Required Skills
- Product ManagementSalesforce
Requirements
- 8+ years of product management experience.
- Track record owning complex systems, two-sided marketplaces, logistics or fulfillment engines, or enterprise workflow transformation at the Senior PM level.
- Experience interviewing non-technical operators and diagnosing root causes, data gaps, and operational friction.
- Strong UX skills designing workflows and experiences for internal, non-technical users.
- Experience leading cross-functional initiatives and shipping complex, multi-stakeholder releases.
- Fluency in business and operational metrics such as margin, capacity utilization, fill rate, and throughput velocity.
- Expertise in service blueprinting across user interactions, employee actions, operational policies, and software systems.
- Experience making build-versus-buy decisions and integrating products with third-party enterprise systems and internal data pipelines.
- Experience applying Jobs-to-be-Done frameworks to internal tools.
- Skill designing human-in-the-loop workflows, including exception queues, triage dashboards, and task-management tools.
- Track record partnering on internal tool rollouts, including training alignment, migration planning, and adoption tracking.
- Proficiency with AI prototyping tools and defining AI strategy and responsible-use standards.
- Bachelor’s degree or equivalent practical experience; MBA is an asset.
- Up to 10% travel may be required.
Responsibilities
- Map multi-actor service blueprints, user journeys, operational handoffs, technical systems, and third-party data flows.
- Discover operational practices and bottlenecks, then transition manual workarounds into scalable product features.
- Design end-to-end experiences and workflows for internal operational users.
- Define when to use algorithmic automation and when to support human decisions with visibility, exception queues, and decision-support interfaces.
- Evaluate build-versus-buy options and lead integration strategy across enterprise tools, backend systems, and internal data pipelines.
- Own product definition and delivery for clinician-to-referral matching, caseload allocation, schedule optimization, and capacity management.
- Identify AI opportunities for document parsing, data extraction, and repetitive triage while maintaining data governance and clinical compliance.
- Partner with Operations and Enablement on workflow adoption, telemetry, feedback loops, utilization, and user sentiment.
- Deliver product outcomes that drive fulfillment metrics.
- Lead an agile engineering pod and align with Operations, Clinical, Marketing, Support, Engineering, and Design stakeholders.
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