AI/ML Product Manager Technology Startup Remote - East Coast Basic Salary $160, 000 - $180,000 + Equity
Harnham is partnering with a pioneering Tech Startup looking to revolutionize how businesses engage with consumers.
Leveling the playing field in terms of segmentation of consumer profiles and providing equal to access to data previously unavailable on the market.
The Role:
As an Ml/AI Product Manager you'll spearhead critical initiatives focused on enhancing privacy implementation processes along with leading teams of ML Engineers and Ai-Focused Data Scientists to build out LLM's, NLP's and Causal interference focused models.
Leading the charge in the implemention of privacy structures to ensure seamless client experiences.
Collaborating with cross-functional teams to drive enhancements in the organizations ever expanding range of products.
Collaborate with legal and policy on defining and implementing compliance requirements and private-by-design best practices.
Own the Design, tracking, and reporting of metrics to manage against the health and efficacy of our clients datasets.
Own the product roadmap and backlog for the ML team.
Skills and Experience: Minimum requirement of a Bachelor's Degree in a relevant field of study is required.
Strong product management experience, with a strong emphasis on ML/AI.
Prio experience working in a Machine Learning Engineer or Data Science position.
Background working with Telemetry is essential to succeed within this position.
Minimum 2 years in product management specifically focused on machine learning and privacy implementation.
Background in data analytics or management preferred.
Strong communication skills and a knack for system design, with an ability to translate client requirements into actionable product features.
Benefits, ML/AI Product Manager:
As an ML/AI Product Manager you can expect to earn up to $180,000 basic salary along with equity and first class benefits.
HOW TO APPLY
Please register your interest by sending your Resume to Oisin Ennis via the Apply link on this page