Senior Product Manager

Job Description

This role is for a PM for Routing Platform in Braintree Card Payments Team. We are looking for candidates who have worked on data products and have experience leading ML teams. In this role you will be working with sales, engineering, finance and analytics to build a smart routing platform to route transactions based on approval rate and costs.

How the role fits within the wider organization + how the role/org service our customers.

In this role you will interact with enterprise merchants and sales/ accounts teams for use-case discovery and partner with engineering, and analytics to identify training data, build, deploy and maintain ML models

Your Day to Day:

• Lead team to build, deploy and improvise ML models for payment transaction routing
• A/B test model against rule-based routing for different target segments
• Own metrics like TE savings for merchants and Braintree, and Approval Rate for the debit product portfolio
• Partner with engineering and analytics for training, test and validation of models
• Update model based on pricing changes of payment networks
• Identifying goals and metrics to drive prioritization and timely delivery of products and experiments
• Working closely with development teams in an agile environment
• Identify additional use-cases and features to lower transactions costs and boost approval rates

What do you need to bring:

• 6+ years of Product management experience, Experience from Payments background. A complete understanding of machine learning concepts, machine learning models, and algorithms
• Complete understanding of various machine learning branches, such as supervised learning, unsupervised learning, federated learning, active learning, reinforcement learning, transfer learning, multi-task learning, and meta-learning
• Consistent ability to remain user-centric at all times by focusing on customer needs and ability to ask the right questions about any idea using ML knowledge
• Good understanding of various mathematical and statistical concepts such as regression and data science and machine learning lifecycles
• Excellent quantitative skills, along with strong analytical skills