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Data Partnerships Manager

Reality Defender

Reality Defender

Sales & Business Development
New York, NY, USA
Posted on Friday, May 31, 2024

About Reality Defender

Reality Defender is a groundbreaking security platform offering comprehensive deepfake detection. A Y Combinator graduate, Comcast NBCUniversal LIFT Labs alumni, and backed by DCVC, Reality Defender's proactive deepfake and AI-generated content detection technology is developed by a leadership team with over 20 years of experience in applied research at the intersection of machine learning, data science, and cybersecurity.

With models defending against present and future fabrication techniques, Reality Defender is the best way to detect and deter fraudulent text, audio, and visual content, partnering with government agencies and enterprise clients to enhance security and detect fraud.

Role and Responsibilities

  • Collaborate with technical teams to define precise data requirements for aligning our product across global markets.

  • Develop methodologies for data acquisition and production, ensuring high data quality standards and cost-effectiveness.

  • Create, implement, and manage the data acquisition process, considering downstream data usage.

  • Identify and onboard new data sources through research and industry knowledge.

  • Compile and manage documentation for third-party data products.

  • Negotiate agreements with external partners for research, licensing, and asset acquisition.

  • Negotiate contracts with data vendors, ensuring favorable terms and proper data processing agreements.

  • Support the partner supply acquisition cycle from initial conversations to onboarding.

About You

  • Over 8 years of experience in business development, data sales, or enterprise sales.

  • In-depth knowledge of data discovery, evaluation, and scalable infrastructures.

  • Proven track record in commercializing datasets and developing research partnerships.

  • Strong analytical and reasoning skills for structuring deals and handling technical, contractual, and financial issues.

  • Experienced with third-party compiled data products and working with Data Engineering and Data Science teams.

  • Interest in both 0 to 1 and scale-up, with agility to be strategic and execute simultaneously.

  • Experience in working with data and recognizing patterns.