The Sales Development Representative will source and manage initial interactions with potential enterprise clients to build a sales pipeline. They will work closely with sales, marketing, and account management teams to conduct discovery sessions and coordinate meetings.
The Staff Project Manager will lead and coach a team of project managers while driving process improvements within the Integrations department. They will oversee complex client integration projects, manage risks, and foster strong relationships with both internal teams and external clients.
You will work directly with clients to provide fraud analytics and actionable insights by analyzing large datasets. Additionally, you will build internal tools in Python and optimize graph networks to improve model performance and identify emerging threats.
The Pre-Sales Manager will act as a technical advisor to prospective clients, managing demonstrations and proof of concepts to support the sales process. They will also collaborate with internal product and integration teams to ensure technical specifications meet client requirements.
You will lead and manage a team of machine learning engineers to develop and deploy fraud detection models while maintaining strict performance SLAs. You will also drive cross-functional initiatives to improve data architecture and foster innovation across the product roadmap.
Design and implement intuitive, scalable, and responsive user interfaces for fraud detection products. Collaborate with engineers, designers, and product managers to translate business requirements into high-quality, functional applications.
You will develop reliable and resilient software while working closely with data scientists and product managers to build microservices. The role involves contributing new ideas and building internal processes and tools to support a high-volume fraud technology platform.
You will lead the architecture and orchestration of scalable ML pipelines, focusing on high-performance training for fraud detection models. Additionally, you will mentor team members and drive cross-functional initiatives to optimize ML infrastructure and data quality.