Principal Product Manager, Aidence
Operations Suite
$150-190k
More information about location
AI-powered clinical applications for the lung cancer pathway
Be an early applicant
AI-powered clinical applications for the lung cancer pathway
1-20 employees
Be an early applicant
$150-190k
More information about location
1-20 employees
Company mission
To provide AI that empowers healthcare and pharmaceutical professionals to deliver faster, more precise diagnostics and treatments.
Role
Who you are
- Master’s Degree Required
- Overall years of experience: 10+ years
- Specific years of experience: 7+ years
- 7 + years Product Leadership in Healthcare SaaS or Enterprise Platforms
- 5+ years of experience in EHR/EMR/RIS
- 3+ years AI / Automation
- Enterprise imaging operations domain expertise (RIS, engagement, workflows)
- Platform product strategy and portfolio leadership
- AI-enabled product development and agentic workflow design
- Commercial strategy (pricing, packaging, monetization models)
- Go-to-market alignment and revenue growth execution
- Workflow orchestration and automation at scale
- Cross-functional leadership (product, engineering, sales, operations)
- Customer-driven product development and value realization focus
- API-first, cloud-native platform architecture understanding
- Executive communication and stakeholder alignment
What the job involves
- The Principal Product Manager, Operations Suite defines the portfolio commercialization for DeepHealth’s Operations Suite portfolio—including RIS, Patient Engagement, and Referral Management while leading the AI portfolio and productization of AI-driven workflow, automation, and analytics capabilities across the platform
- This leadership role will focus on establishing DeepHealth as the category leader in enterprise imaging operations in its targets markets and driving business growth by:
- Defining and executing the Operations Suite portfolio strategy, including RIS, Patient Engagement, Referral Management, and associated workflow, automation, analytics, and AI solutions—guiding roadmap priorities, platform architecture, platform modernization alignment, and market positioning
- Driving commercialization and market adoption, including pricing and packaging strategy, go-to-market alignment, strategic partnerships, and revenue growth for the Operations Suite portfolio
- Owning the Operations Suite AI portfolio, including the development of AI-native applications and AI capabilities embedded within RIS workflows and driving the productization of intelligent automation, operational intelligence, and agentic workflows across the platform and integration with the AI Studio ecosystem
- Supporting long-term portfolio expansion and innovation, including cross-enterprise platform integration, collaboration with RadNet to validate and scale solutions, and evaluation of strategic partnerships, and portfolio investments
- Portfolio Strategy & Business Innovation
- Define and lead the multi-year portfolio strategy for the Radiology Information System (RIS) and DeepHealth Operations Suite™, expanding the addressable market and supporting strategic growth across enterprise imaging operations
- Ensure portfolio strategy, platform modernization, and AI productization efforts are coordinated across RIS, applications, and automation layers
- Ensure portfolio strategy and roadmap priorities align with DeepHealth’s broader platform modernization and AI strategy
- Engage with strategic customers and industry stakeholders to validate product direction, identify emerging needs, and guide portfolio priorities
- Drive business innovation through modular platform capabilities, scalable delivery models, and expansion into new markets and operational use cases
- Collaborate with product, development, and implementation teams to deliver high-impact, enterprise-ready solutions aligned with customer workflows and operational outcomes
- AI Portfolio & Productization
- Define and lead the Operations Suite AI portfolio strategy, including both AI-native applications and AI-enabled capabilities embedded within RIS workflows and Operations Suite products
- Drive the development and productization of AI applications that automate imaging operations workflows, improve operational intelligence, and enable agentic automation across the platform
- Champion the integration of AI capabilities directly into the RIS and Operations Suite, ensuring intelligent automation, predictive insights, and AI-assisted workflows are embedded within core operational processes
- Lead the development of the AI platform and ecosystem strategy, enabling scalable AI services, third-party AI integrations, and an extensible architecture that supports innovation across the imaging operations platform
- Identify and prioritize AI opportunities, including predictive operational intelligence, workflow automation, and intelligent scheduling that improve imaging center performance and staff productivity
- Partner with AI engineering, data science, and platform teams to operationalize AI models and services within RIS workflows and Operations Suite applications
- Commercial Enablement & Market Leadership
- Lead commercialization planning for new products, capabilities, and AI solutions, ensuring cross-functional readiness across sales, marketing, support, and implementation teams
- Serve as a strategic advisor to commercial leadership on portfolio value drivers, customer use cases, pricing models, and adoption strategies
- Partner with marketing to develop product positioning, messaging, and go-to-market materials aligned with portfolio strategy and category leadership in enterprise imaging operations
- RadNet Enterprise Operations & Strategic Partnership
- Partner closely with RadNet teams to validate solutions, refine product direction, and scale enterprise imaging operations capabilities across the portfolio
- Coordinate roadmap priorities based on operational insights, site-level feedback, and measurable performance outcomes
- Ensure platform evolution supports enterprise scalability, operational efficiency, and alignment with strategic operational goals
- Quality Standards
- Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors
- Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance
- Follows all local, regional and country laws concerning employment
- Follows all DeepHealth policies and procedures
- Follows data privacy, compliance, safety and confidentiality standards at all times
- Practices universal safety precautions
- Promotes good public relations on the phone and in person
- Adapts and is willing to learn new tasks, methods, and systems
- Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines
- Completes job responsibilities in a quality and timely manner
- This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally
Our take
The medical technology market is expected to continue its growth due to innovative technological developments, the increasing pace of population ageing, chronic diseases, and trust in medical devices. Alongside this, advancements in AI and robotic solutions, cloud-based software and healthcare apps, are likely to boost industry growth in the future.
Radiologists agree that AI is necessary to compensate for the increase in medical images they need to assess. Without AI, the demand for scans would outgrow the human ability to review them timely and accurately. Aidence provides an AI solution for lung nodule detection and management, which helps improve lung cancer prognosis by detecting, measuring, classifying and tracking the growth of pulmonary nodules on patients' chest CT scans.
Aidence was acquired by US radiology firm RadNet in 2022. Its future goals include expanding its products to detect larger masses on chest CTs and using the data collected from scans to provide further insights into the effectiveness of lung cancer treatments.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Mar 2020
$2m
GRANT
Feb 2019
$11.8m
SERIES A
Total funding: $16.4m
Company HQ
De Weteringschans, Amsterdam, Netherlands
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 4 more jobs at Aidence