Technical Product Manager, Data Science
TrueML- Full Time
- Junior (1 to 2 years)
Candidates should possess 5+ years of Product Management experience, including direct work with Machine Learning, AI, or Data Science. Strong analytical skills and a proactive mindset are essential for navigating a matrixed environment, as well as the ability to effectively communicate business value and translate ML capabilities into product opportunities.
As a Senior Product Manager, you will champion ML-driven opportunities by identifying high-impact use cases and communicating their business value, translate ML capabilities into product opportunities by partnering with other PMs, serve as the primary advocate for ML projects, partner closely with ML engineers to define problem spaces, work cross-functionally with product managers, engineers, data teams, and business stakeholders to integrate ML capabilities, ensure ML initiatives are prioritized effectively, drive clear execution plans, author clear PRDs, collaborate with ML engineers and product analysts to define and track success metrics, own the end-to-end ML implementation lifecycle, and communicate project outcomes effectively to senior leadership.
Provides accessible treatments for chronic health issues
As a leader in providing accessible and effective treatments for ongoing health conditions, this company stands out for its dedication to improving patient outcomes and experiences. Leveraging proprietary care models and advanced technologies, the firm addresses crucial healthcare challenges including accessibility, affordability, and comprehensive long-term care. This focus not only makes it a significant player in the healthcare industry but also an exemplary workplace that prioritizes both innovation and patient-centric solutions.