Product Manager
Listed on 2026-02-16
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, AI Engineer
About Axuall
Built with leading healthcare systems, Axuall is a workforce intelligence company built on top of a national real-time practitioner data network. It enables healthcare systems, staffing firms, telehealth, and health plans to dramatically reduce onboarding and enrollment time while also providing unique, powerful data insights for network planning, analytics, and reporting. Its network streamlines the secure sharing of digitally verified credentials between clinicians, authorized verifiers, and organizations that require this information quickly and continuously to meet patient demand, ensure clinical coverage, and maximize revenue capture.
In 2023, Axuall closed its series B round of financing, bringing its total capital raised to more than $41 million. Axuall's investors and the organizations they represent comprise over two dozen of the nation's leading healthcare organizations that recognize the imperative to improve clinical workforce efficiency amidst significant economic and staffing challenges.
About the RoleWe are seeking an experienced and technically minded Product Manager to lead the delivery and evolution of data-driven product capabilities within Axuall Explore. This role is responsible for translating Explore’s product strategy into clear requirements, prioritized roadmaps, and shipped features, working day-to-day with engineering, data science, and design delivery teams. The PM ensures that complex healthcare data, analytics, and AI capabilities are delivered on time, at quality, and with measurable customer impact, while maintaining strong alignment across stakeholders.
What You’ll DoAI And Advanced Analytics
- Lead the design and delivery of GenAI driven workflow solutions that automate and augment recruiter and workforce intelligence workflows.
- Define how AI agents interact with Axuall’s clinician data, job data, and customer context to drive meaningful user outcomes.
- Work closely with Axuall’s data science team to develop new analytics- and model-driven product offerings.
- Own the productization of analytics outputs—ensuring insights are explainable, actionable, and embedded directly into user workflows.
- Partner closely with senior product leadership through regular roadmap reviews, prioritization discussions, and strategy working sessions, gaining direct mentorship and exposure to executive decision-making while building independent product judgment.
- Develop and execute a clear product strategy and roadmap for Explore’s data and AI capabilities, aligned with company goals and customer needs.
- Drive alignment across leadership, engineering, data science, sales, marketing, and customer success on priorities, sequencing, and tradeoffs.
- Translate complex technical and analytical concepts into clear product requirements, user stories, and success metrics.
- Collaborate with legal, compliance, and data governance teams to ensure responsible and compliant use of healthcare data and AI.
Candidates for the Product Manager must demonstrate extensive hands-on experience and knowledge of industry best practices in the functions listed above. Specific requirements include:
- 2-5 years of product management experience, ideally in data-intensive or analytics-driven SaaS products.
- Demonstrated experience working with large-scale datasets (healthcare data strongly preferred).
- Proven ability to work with data science and engineering teams to deliver model- or analytics-backed product features.
- Strong understanding of APIs, data pipelines, and modern analytics or AI architectures.
- Experience translating AI or ML concepts into user-facing products.
- Highly analytical, with the ability to use data to inform decisions and prioritize effectively.
- Strong verbal and written communication skills; ability to translate complex ideas into clear, actionable requirements.
- Demonstrated ownership, initiative, and track record of delivering results in fast-paced, cross-functional environments.
- Comfortable operating in ambiguity and shaping new product categories.
We encourage you to apply even if you don't meet 100% of the qualifications listed. We recognize that…
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