Deepfake detection platform for enterprises and governments
Reality Defender builds a multimodal AI platform that detects deepfakes and synthetic media across audio, video, images, and text in real time. It serves enterprises, financial institutions, governments, and critical infrastructure to prevent fraud, impersonation, and disinformation. The patented multi-model ensemble approach ensures robustness against evolving generative AI threats.
Create and own sales enablement content including pitch decks, battlecards, positioning, and case studies for a deepfake detection cybersecurity platform. Translate complex product and threat landscape details into persuasive materials for sales, CS, and enterprise/government customers. Requires 3-5 years in content, enablement or PMM, ideally in B2B SaaS or cybersecurity.
Senior Software Engineer building and supporting real-time enterprise integrations, backend services, and APIs connecting Reality Defender’s deepfake detection platform to customer communications, telephony, and contact center systems. Requires 3-6 years experience with Python, REST APIs, distributed systems, and cloud platforms; experience with VoIP/telecom a plus.
Own go-to-market strategy, positioning, and messaging for deepfake detection products targeting security leaders and government stakeholders. Requires 5+ years of enterprise B2B SaaS product marketing experience, ideally in cybersecurity.
Drive full-cycle enterprise sales of deepfake detection cybersecurity solutions to financial services, government, and regulated industries. Requires 5+ years selling complex SaaS or cybersecurity deals to CISOs and senior stakeholders.
Builds end-to-end features for deepfake detection platform including frontend UIs, backend services, and APIs. Requires 3+ years experience with React/TypeScript frontend and Python/Go/Node.js backend, plus cloud deployment skills.