The Solutions Manager will act as a bridge between business development and technical teams to manage partner relationships and ensure successful project delivery. They will serve as an internal project manager, coordinating across product, engineering, and legal departments to meet external commitments.
The Engineering Manager will lead a team of engineers to build and deploy next-generation machine learning models and services. They are responsible for fostering team growth, managing cross-functional stakeholder relationships, and ensuring operational delivery and technical rigor.
You will partner with business units to identify decisioning gaps and implement machine learning solutions to combat fraud. Additionally, you will build automation to reduce manual work and run experiments to optimize decisioning strategies.
The role involves building and deploying production machine learning models to identify fraud and optimize decisioning strategies. You will also identify opportunities for automation to reduce manual work and collaborate with cross-functional teams to improve system performance.
The Sr. Business Development Representative will identify and research high-value target accounts to generate qualified leads and support strategic sales goals. They will also collaborate with senior sellers to nurture opportunities through the sales pipeline and maintain accurate records in the CRM.
You will set the technical vision and long-term strategy for enterprise cloud infrastructure while driving the integration of AI-driven automation and self-healing systems. You will partner with cross-functional leaders to scale the platform, optimize cloud costs, and elevate the developer experience through robust CI/CD and infrastructure-as-code standards.
Lead and grow a team of machine learning engineers while fostering a collaborative and high-performing environment. Manage a portfolio of experimental workstreams to improve fraud and risk decision models while partnering with stakeholders to deliver clear business outcomes.
Design and deliver high-quality, scalable real-time systems and public-facing API platforms for retailer onboarding. Collaborate with cross-functional teams to address technical debt and mentor other engineers to improve technical standards.
This is not a specific job opening but an invitation to join a talent community. Members will receive email updates about the company and future job opportunities.
The Senior Machine Learning Engineer will own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to production deployment. They will also collaborate with cross-functional teams to enhance fraud detection effectiveness and scale infrastructure.
