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As a Sales Engineer, you will demonstrate technical expertise in Oscilar's platform, conduct customer demonstrations, and bridge communication between product and sales teams.

The SRE will own reliability for a cloud-native platform, optimizing performance, availability, and observability, while mentoring engineering teams.

As a Data Scientist, you will develop advanced fraud detection models, collaborate with teams, analyze data for insights, optimize models, and ensure compliance with data privacy.

The Forward Deployed Engineer at Oscilar is responsible for technical customer engagement, leading AI solution implementations, and enhancing customer relationships to manage risks effectively in financial services.

Own the business value narrative across prospecting, deployment, expansion, and renewal. Lead executive workshops, build ROI/TCO models and value frameworks, support value realization and renewals, leverage AI tools for analysis and content, and synthesize customer insights to influence product and GTM strategy.

The Product Marketing Manager will develop go-to-market strategies, create compelling messaging, perform market research, and collaborate with product and sales teams to position Oscilar's AI risk platform effectively.

As a Solutions Architect, you will collaborate with teams to design and implement risk decisioning systems, guide technical integrations, and provide customer support.

The Fraud SME will lead customer engagements, support sales, provide fraud strategy and analytics, and serve as a thought leader in the fraud space. Responsibilities include participating in sales calls, advising customers, collaborating with product teams, and representing Oscilar in external forums.

The AML SME will represent practitioner insights in sales calls and product deployments, ensuring AML solutions meet industry standards across various institutions.

The role involves building, deploying, and maintaining ML infrastructure, optimizing systems, and ensuring production reliability while collaborating with data scientists and product teams.