Head of Product
Reality DefenderAbout the role
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 Overview
As the Head of Product at Reality Defender, you will play a pivotal role in shaping the future of our product portfolio. You will be responsible for driving product strategy, defining the product roadmap, and overseeing the end-to-end product development lifecycle. The ideal candidate is a strategic thinker with a proven track record of delivering innovative and successful products in the technology sector.
Responsibilities
Develop and articulate a compelling product vision and strategy aligned with company goals.
Create and manage a focused product roadmap, prioritizing features based on customer needs and market trends.
Collaborate cross-functionally with engineering, design, marketing, and sales to ensure efficient execution of the product roadmap.
Lead end-to-end product development, conducting market research to inform decisions.
Champion user-centric design, collaborating closely with the design team for intuitive experiences.
Establish KPIs and use data-driven insights to optimize product performance.
Bachelor's degree in Computer Science or similar technical discipline required; MBA or advanced degree a plus.
Proven Product Manager experience in technology with 6-10 years of relevant experience.
Experience as both an individual contributor and manager of small to mid-sized product teams.
Deep understanding of software engineering agile product cycles.
High level understanding of ML/DL.
Familiar with the AI ecosystem, challenges and opportunities of building and training AI systems.
Track record of bringing innovative products to market.
Enjoy solving ambiguous and complex problems with data and research-oriented product iteration.
Excellent cross-functional collaboration skills, balancing needs across research, engineering, and biz-dev teams.
Excellent written and verbal communication skills to present to internal and external stakeholders.
Experience across startups and large company environments, demonstrating the ability to build products from the ground up.
Go-getter mentality with the ability to roll up your sleeves and get things done in a fast paced, ambiguous environment
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