
HiddenLayer provides AI security that detects and defends machine learning models and their inputs/outputs from adversarial attacks, model extraction, and prompt injection. It delivers a drop-in SaaS…

HiddenLayer provides AI security that detects and defends machine learning models and their inputs/outputs from adversarial attacks, model extraction, and prompt injection. It delivers a drop-in SaaS…
Founded: 2022
Headquarters: Austin, Texas
Focus: AI security platform covering supply-chain scanning, runtime defenses, governance, and automated red-teaming
Latest disclosed raise: $50M Series A (Sep 19, 2023)
Notable investors: M12, Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, Capital One Ventures
AI/ML security and protection of deployed models across lifecycle
2022
Computer and Network Security
Seed round listed on Crunchbase (date reported)
$50M
Series A co-led by M12 (Microsoft's venture fund) and Moore Strategic Ventures; participation from strategic investors
“Backed by strategic corporate venture investors including M12 (Microsoft), Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures”
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Remote within the US
About The Role HiddenLayer is entering an exciting new chapter in our company history and we are seeking a Technical Product Manager for our AI Security products to drive the development of a groundbreaking cybersecurity platform to secure and protect against adversarial AI attacks. In this role, you'll have the opportunity to work with industry pioneers in data science and artificial intelligence threat research in a fast-paced emerging market.
As a Product Manager with a strong background in cybersecurity and AI, you will play a crucial role in the development, enhancement, and delivery of HiddenLayer’s AISec Platform to protect and defend generative AI and agentic systems against cybersecurity threats and attacks.
Who We Are HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.
Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.
What You’ll Do You will be responsible for translating customer needs, technical insights, and the evolving Adversarial AI threat landscape into actionable product capabilities and detection techniques. Your exceptional understanding of both machine learning and cybersecurity will allow you to effectively guide cross-functional teams, bridging the gap between sales engineering, product development, data science, threat research, and professional services.
Go-to-Market Launches: Coordinate product launches and develop effective go-to-market strategies, collaborating with marketing, sales, and support teams to drive product adoption and success in the market.
Who You Are
WHY HIDDENLAYER? We’re moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft’s Venture Fund, and Moore Strategic Ventures.
Benefits Attracting and retaining the very best people is our #1 priority. That’s why we offer our team best-in-class benefits, including:
To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.
HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.
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Candidates could be:
Technical Product Managers in data science or machine learning operations who seek to delve into cybersecurity
Technical Product Managers in cybersecurity who have data science or AI operations experience
Former Data Scientists, AI Engineers, or developers who want to make a career pivot into product management
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
In-depth knowledge of AI techniques, algorithms, frameworks, and AI Operation tools.
Strong understanding of cybersecurity principles, best practices, and industry standards.
Experience working with cross-functional teams, including engineering, data science, threat research, marketing, sales, and support.
Proficient in Agile product development methodologies and project management tools.
Excellent communication, presentation, and interpersonal skills.
Ability to analyze complex technical challenges and propose effective solutions.
Prior experience in developing and/or launching successful machine learning and/or cybersecurity products is a plus.
Flexible and adaptable self-starter with strong relationship building skills
Collaborative and team oriented attitude
Intellectual curiosity, humility, accountability, and positive approach