Sales Engineer

At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, https://oscilar.com/careersthis is your place. Why Join Us? - Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer. - Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward. - Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk. Role Overview: Oscilar is looking for an experienced Sales Engineer to join our presales organization. In this role you’ll serve as the technical resource working in unison with our Account Executives to demonstrate value when presenting our solutions to customers. Your role is critical in showing the “how” and “why” behind our platform with a blend of deeply technical and customer facing elements. What You’ll Do: - Become an expert on Oscilar product offerings. - Build trust with potential customers by thoroughly demonstrating how Oscilar works and solves common issues experienced by others in the space. - Conduct discoveries, demonstrations, value assessments, proof of concept implementations, etc. - Act as the liaison between Oscilar’s product and sales teams; passing along customer feedback for future iterations. What You’ll Bring: - BS degree from an accredited university, preferably in Computer Science or related discipline. - Minimum of (4) years experience working with customers in a solutions engineer, customer success, or customer/product support capacity. - The ability to influence stakeholders based on your technical sales acumen and a solid understanding of business processes and change management. - Ability to explain complex technical concepts to non-technical audiences. Preferred Qualifications: - Advanced degree in Computer Science, Data Science, Finance, or related field. - Professional certifications such as CAMS (Certified Anti-Money Laundering Specialist) or similar. - Experience with specific AML use cases: correspondent banking, trade finance, crypto/digital assets. - Knowledge of emerging technologies like blockchain analytics and privacy-preserving computation.