Senior Product Manager, Scheduling & Lab AI (Remote)

Twin Health; Northern (KY); Hybrid; USD 175,000 - 195,000; Full time

Benefits offered by this job

Equity participation

Remote/global team

Unlimited vacation

Parental leave

Job summary

Twin Health in the United States is seeking a Senior Product Manager to own scheduling and the lab experience end to end, building tools to power workforce planning for care team capacity within our core clinical operations platform. This role centers on delivering measurable improvements in scheduling efficiency and care delivery.

You will collaborate with design, engineering, data science, and clinical stakeholders to identify high-impact opportunities, ship AI-powered features quickly, and

Qualifications

• 5+ years of product management experience, ideally in healthcare technology, operations, or workflow platforms.
• Experience shipping AI/ML-powered features (LLMs, agents, RAG, personalization), with clear metric lifts.
• Experience designing and launching products for operational or care-team-facing workflows, including scheduling, staffing, or logistics.
• Proven ability to build complex workflow tools and AI-integrated features in regulated environments.
• Comfort with quantitative, model-driven problems such as demand forecasting or capacity/supply modeling.
• Strong understanding of clinical operations, healthcare delivery models, and the needs of multidisciplinary care teams.
• Demonstrated ability to lead agile teams and manage the product development lifecycle end to end.
• Strategic thinker with excellent execution skills, capable of balancing long-term vision with short-term priorities.
• Analytical mindset with strong product judgment: comfort with A/B testing, KPI definition, ambiguity, and fast iteration.
• Excellent collaboration and communication skills, with a proven track record of aligning diverse stakeholders.
• Experience owning or working within an EMR or core clinical operations platform (e.g., Epic, athenahealth) is a strong plus.
• This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Responsibilities

• Own scheduling and the lab experience end to end, including the core clinical operations platform that underpins much of this work, balancing reliability today with a roadmap to modernize it.
• Build the tools that power workforce planning for care team capacity, partnering closely with the team that owns the underlying supply and demand models.
• Design and deliver AI-powered features that improve scheduling efficiency, lab turnaround, and staffing decisions, moving fast with strong prompt, versioning, and evaluation practices.
• Collaborate closely with clinical and operations stakeholders to understand user needs and pain points, and translate them into detailed specs, user stories, and Jira tickets.
• Lead cross-functional agile teams through all stages of the product lifecycle, from ideation to launch and iteration.
• Define and track success metrics to measure impact on scheduling efficiency, lab turnaround, staffing utilization, and care quality.
• Work closely with AI/ML teams to ensure technical solutions are interpretable, clinically safe, and effectively integrated into workflows.
• Align with leadership and cross-functional partners to ensure product direction supports company strategy and operational goals.
• Other duties as assigned.

Skills

Product management

AI/ML features

Operational workflows

Agile teams

Analytical mindset

Stakeholder alignment

Education

Bachelor's degree or higher in relevant field

Tools

Epic

athenahealth

Job description

Twin Health in the United States is seeking a Senior Product Manager to own scheduling and the lab experience end to end, building tools to power workforce planning for care team capacity within our core clinical operations platform. This role centers on delivering measurable improvements in scheduling efficiency and care delivery.

You will collaborate with design, engineering, data science, and clinical stakeholders to identify high-impact opportunities, ship AI-powered features quickly, and