Senior Product Manager - Machine Learning

At Adonis, we offer multiple solutions to assist medical providers in navigating the complexities of healthcare billing and receipt of payment for service. Billing and insurance related activities represent nearly $1 in every $7 collected by medical providers - and the high costs of collecting payments, as well as and other costs that stem from the administrative challenges within the space, unfortunately get passed down to the consumer. This is why healthcare costs continue to rise, with no end to that in sight. We’re set on helping to mitigate these challenges.While we are building a medical billing engine that automates billing workflows and improves reimbursement rates for medical providers, we at Adonis feel that there is always an aspect of healthcare billing that requires a human touch.

About Adonis: At Adonis, we are at a pivotal moment in our growth journey. Our products and user base are scaling rapidly, and we are investing heavily in Artificial Intelligence (AI) to shape the future of our offerings. As part of our commitment to leading in the AI and data space, we are looking for an experienced Machine Learning Product Manager to drive forward the development of innovative ML/DS products and ensure alignment with broader business goals.

This is a unique opportunity to make a direct impact on a rapidly evolving product suite while working in a collaborative environment with cross-functional teams. You’ll be at the forefront of building AI-powered solutions that will shape the future of our products and differentiate us in the marketplace.

Role Overview:

As a Machine Learning Product Manager, you will be responsible for leading the Data Science and Machine Learning (DS/ML) squad while working closely with other key teams to embed machine learning into our broader product roadmaps. This role is vital for helping Adonis strengthen its AI capabilities. You will own both tactical and strategic aspects of our ML/AI product development, balancing immediate business needs with long-term innovation.

Key Responsibilities:

1. Product Leadership:
• Lead the DS/ML squad in building and shipping innovative AI-driven products that drive tangible business outcomes.
• Partner with Engineering and other departments to define Adonis’ broader AI strategy across alerting/ anomaly detection, forecasting, predictive modeling, and generative AI.
• Work closely with leadership and product teams to define the product roadmap for DS/ML and AI initiatives, ensuring alignment with and contribution to company-wide goals.
• Evangelize data across the organization, promoting understanding of ML/DS technologies and their value to both internal teams and external customers.
2. Cross-functional Collaboration:
• Partner with stakeholders across multiple departments to integrate machine learning and data-driven insights into key business processes and product roadmaps.
• Facilitate strong collaboration with teams across the organization to ensure DS/ML initiatives are well-integrated and executed efficiently.
3. Roadmap Execution & Stakeholder Management:
• Manage and execute on the DS/ML product roadmap, ensuring timely delivery of features and products that balance short-term business needs with long-term innovation.
• Work with cross-functional teams (Intelligence, Billing, Integrations etc.) to prioritize and embed ML/DS features into their product roadmaps.
• Act as the primary liaison between DS/ML and other business units to maintain alignment on priorities and ensure smooth delivery of ML-driven projects.
4. Data & Machine Learning Expertise:
• Stay current with the latest trends in machine learning and data science to continuously inform product strategy.
• Use data analysis tools (e.g., Python, SQL) to drive product decisions and measure business impact from DS/ML solutions.

Qualifications & Skills:

Required Experience:

• Minimum of 5 years of experience in Product Management or equivalent roles (e.g., ML Project Manager, Engineering Manager).
• 2+ years of experience in Machine Learning/Data Science with a strong understanding of ML principles, algorithms, and tools.
• Strong experience with data analysis using Python, SQL, or similar technologies.
• Demonstrated ability to balance tactical product management with long-term innovation, making data-driven decisions that align with business goals.
• Proven experience in managing cross-functional teams and building consensus among stakeholders.

Nice-to-Have Experience:

• Startup experience, particularly in building and s