Jobs at Reality Defender

Lead technical sales engagements for an AI deepfake detection platform, including discovery, tailored demonstrations, proofs of concept, API and SDK integrations, security reviews, and RFPs. Explain probabilistic detection results to technical and executive stakeholders, provide customer feedback to internal teams, and develop reusable demos, scripts, and integration guides. The role supports enterprise, financial services, government, and regulated customers.

Owns the roadmap for an API-first deepfake detection platform, translating enterprise and government customer needs into shipped products. Partners with AI Research, Engineering, Sales, Marketing, and Partnerships on product requirements, model capabilities, integrations, metrics, launches, compliance, and customer validations. The role focuses on driving revenue, retention, adoption, detection performance, and future product opportunities in a rapidly evolving cybersecurity market.

Conduct adversarial testing of deepfake detection models across audio, video, image, and text. Build attack simulations, red-team infrastructure, test harnesses, adversarial datasets, and automated regression testing. Analyze emerging generative AI threats, prioritize vulnerabilities, collaborate with AI, Data, Product, and Security teams, and communicate findings to technical and nontechnical stakeholders. The role also supports customer briefings, research publications, platform security testing, and ethical synthetic-media handling practices.

Own QA planning and execution for APIs, SDKs, web applications, and real-time voice and video integrations. Build automated API, end-to-end, and regression tests within CI/CD pipelines; identify and track defects; validate reliability and performance; maintain test datasets; support AI model release testing; triage customer issues; and improve QA standards, metrics, documentation, and release processes.

Own and scale the AI research data platform, including ingestion, processing, governance, versioning, lineage, quality, observability, and export for multimodal datasets. Build Databricks and distributed processing infrastructure, synthetic data generation pipelines, and self-service tools for ML researchers. Partner with security and compliance teams, mentor engineers, manage infrastructure automation, and establish the long-term platform roadmap.

Lead full enterprise sales cycles for deepfake/AI-detection platform across regulated industries. Prospect, close, and expand accounts in financial services, government, and insurance. Engage senior stakeholders (CISOs, fraud, risk, compliance), manage technical validation and legal/procurement processes, and collaborate with Solutions Engineering, Product, Marketing, and Customer Success to ensure successful deployments and renewals.