Senior Product Manager, Adonis

• 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

Desirable

• 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
• 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
• 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
• 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
• 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
• 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