Button

Machine Learning Engineer

• Own the full ML lifecycle including feature pipelines, training workflows, model deployment, inference services, monitoring, and retraining
• Design and build reliable data and feature pipelines
• Build and optimize machine learning models including regression, classification, ranking, and recommender systems
• Implement and manage batch scoring pipelines and online inference services
• Partner with data scientists to operationalize models
• Collaborate with software engineers for integration into production services
• Establish observability for ML systems
• Design systems for rapid experimentation and safe rollout of new models
• Document architecture, establish best practices, and mentor teammates

Senior Machine Learning Engineer

Customer Success Manager

• Gain a deep understanding of customers' business priorities, KPIs, and challenges to anticipate partner needs and deliver exceptional service
• Prepare and present regular performance reports for partners, highlighting key metrics, trends, and insights to instill Button's value
• Identify and prospect new retailer partnerships through outbound outreach and referrals
• Support PSMs with the marketing campaign lifecycle, assisting in outreach, campaign execution and performance recaps
• Proactively monitor user flows and performance, identifying opportunities for optimization and collaborating with internal teams to implement solutions
• Ensure consistent achievement of quarterly and annual revenue goals
• Secure contract renewals for existing business
• Communicate partner feedback to the Button engineering and product team in a fluid and actionable manner in order to drive product development based on partner needs
• Oversee partner technical implementations in collaboration with Button's solutions engineering team

Partner Success Associate

• Gain understanding of customers' business priorities and challenges
• Prepare and present performance reports for partners
• Secure partner adoption of products and campaigns
• Monitor user flows and performance for optimization
• Craft strategic account plans based on partner priorities
• Communicate partner feedback to engineering and product teams
• Oversee partner technical implementations

Partner Success Manager

Data Scientist

• Design, test, and iterate on machine learning models that power recommendation, ranking, routing, and monetization
• Own A/B testing strategy and causal measurement for product features and partner performance
• Partner with engineers to productionize models and integrate them into live systems
• Build analyses, dashboards, and tools that inform product strategy and customer outcomes
• Define metrics and success criteria for new initiatives
• Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations
• Help establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow leveraging our existing technical stack
• Raise the bar for statistical rigor and experimentation across the company

Senior Machine Learning Engineer

Partner Success Associate

Partner Success Manager

Senior Data Scientist