Full-Time

Technical Product Manager for AI Security Products

HiddenLayer

HiddenLayer

51-200 employees

Productized AI security against adversarial attacks

No salary listed

Remote in USA

Remote

Category
Product (1)
Requirements
  • 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
Responsibilities
  • Translating customer needs, technical insights, and evolving Adversarial AI threat landscape into actionable product capabilities and detection techniques.
  • Product Roadmap Planning: Manage, maintain, and prioritize HiddenLayer’s backlog of product and feature ideas
  • Product Execution: Collaborate with internal stakeholders (engineering, data science, and threat research) to define requirements and deliver high-quality product capabilities and user experience
  • Adversarial AI Threat Landscape: Maintaining vigilance and knowledge of the Adversarial AI Threat Landscape and MITRE ATLAS to define and prioritize detection requirements for HiddenLayer’s products
  • Market Analysis: Conduct comprehensive market research and competitive analysis to identify emerging trends, opportunities, and potential threats in the machine learning and cybersecurity landscape
  • Customer Insights: Engage with customers and gather feedback to understand their pain points, requirements, and preferences to drive product improvements.
  • Requirements Definition: Clearly define product requirements, use cases, and specifications, collaborating with engineering, data science, and threat research teams to ensure the feasibility and effectiveness of solutions
  • 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

HiddenLayer provides a productized software solution to protect AI systems from adversarial attacks. It offers real-time monitoring of AI model health and potential vulnerabilities without requiring access to the model or its training data, enabling protection across diverse sectors from finance to healthcare. The product operates in a software-based manner, analyzing inference behavior and other signals to detect and mitigate threats, rather than relying on expensive expert panels. This cost-efficient approach allows HiddenLayer to scale to many clients while maintaining strong security for AI/ML models. Compared to competitors, it emphasizes a ready-to-use, scalable product and leverages Gartner-recognized expertise in AI application security. The company's goal is to help businesses preserve model integrity and competitive advantage by defending AI systems against adversarial and related attacks.

Company Size

51-200

Company Stage

Series A

Total Funding

$56M

Headquarters

Austin, Texas

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • Cyera partnership on April 23, 2025, enables end-to-end AI lifecycle security.
  • Chelsea Strong appointed CRO on July 17, 2025, accelerates global expansion.
  • Agentic Runtime Security launched March 23, 2026, addresses 1-in-8 breaches.

What critics are saying

  • AWS, Azure, GCP native tools commoditize HiddenLayer's offerings within 12-24 months.
  • Cyera partnership subordinates HiddenLayer in deals, eroding direct relationships.
  • False positives in agentic enforcement cause customer churn within 6-12 months.

What makes HiddenLayer unique

  • HiddenLayer uses non-invasive AIDR for real-time AI threat detection without model access.
  • Proprietary platform scans 30+ model formats for vulnerabilities pre-deployment.
  • Gartner recognizes HiddenLayer's cost-efficient software over expert panels.

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Benefits

Remote Work Options

Flexible Time Off

Unlimited Paid Time Off

Health Insurance

Vision Insurance

Dental Insurance

401(k) Retirement Plan

401(k) Company Match

Wellness Program

Phone/Internet Stipend

Home Office Stipend

Conference Attendance Budget

Professional Development Budget

Training Programs

Family Planning Benefits

Fertility Treatment Support

Hybrid Work Options

Stock Options

Company Equity

Paid Holidays

Paid Vacation

Paid Sick Leave

Mental Health Support

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

6%
PR Newswire
Mar 23rd, 2026
HiddenLayer launches agentic runtime security to protect autonomous AI agents from breaches

HiddenLayer has launched new AI Runtime Security capabilities designed to protect autonomous AI agents as enterprises increasingly adopt agentic AI systems. The update introduces three core features: Agentic Runtime Visibility, Agentic Investigation & Threat Hunting, and Agentic Detection & Enforcement. According to HiddenLayer's 2026 AI Threat Landscape Report, one in eight AI breaches are linked to agentic systems. The new capabilities enable security teams to monitor agent behaviour in real-time, detect threats including prompt injection and data exfiltration, and enforce adaptive security policies. The solution integrates directly into agent gateways and execution frameworks, allowing phased deployment without application rewrites. CEO Chris Sestito noted that compromised AI agents can access systems and move data within seconds, making real-time visibility and control essential for enterprise security.

Tech Funding News
Oct 29th, 2025
Maket raises $3.7M CAD for AI design

Maket, known as the "ChatGPT for architecture," has secured $3.7M CAD in seed funding led by Amiral Ventures, with participation from Blitzscaling Ventures, BY Venture Partners, Hidden Layers, and Desjardins Group. Launched in 2023, Maket offers a generative AI platform for easy floor plan generation and 3D visualization, amassing over one million users. Founded in 2020, the company aims to make architecture accessible and affordable.

PR Newswire
Jul 17th, 2025
HiddenLayer Appoints Chelsea Strong as Chief Revenue Officer to Accelerate Global Growth and Customer Expansion

AUSTIN, Texas, July 17, 2025 /PRNewswire/ - HiddenLayer, the leading provider of security solutions for artificial intelligence, is proud to announce the appointment of Chelsea Strong as Chief Revenue Officer (CRO).

PR Newswire
Apr 23rd, 2025
Cyera And Hiddenlayer Announce Strategic Partnership To Deliver End-To-End Ai Security

Helping Enterprises Secure AI from Development to Deployment with Unified Data and Model ProtectionAUSTIN, Texas, April 23, 2025 /PRNewswire/ -- HiddenLayer, the leading security provider for AI models and assets, and Cyera, the pioneer in AI-native data security, today announced a strategic partnership to deliver end-to-end protection for the full AI lifecycle from the data that powers them to the models that drive innovation.As enterprises embrace AI to accelerate productivity, enable decision-making, and drive innovation, they face growing security risks. HiddenLayer and Cyera are uniting their capabilities to help customers mitigate those risks, offering a comprehensive approach to protecting AI models from pre- to post-deployment. The partnership brings together Cyera's Data Security Posture Management (DSPM) platform with HiddenLayer's AISec Platform, creating a first-of-its-kind, full-spectrum defense for AI systems."You can't secure AI without protecting the data enriching it," said Chris "Tito" Sestito, Co-Founder and CEO of HiddenLayer. "Our partnership with Cyera is a unified commitment to making AI safe and trustworthy from the ground up. By combining model integrity with data-first protection, we're delivering immediate value to organizations building and scaling secure AI.Cyera's AI-native data security platform helps organizations automatically discover and classify sensitive data across environments, monitor AI tool usage, and prevent data misuse or leakage. HiddenLayer's AISec Platform proactively defends AI models from adversarial threats, prompt injection, data leakage, and model theft.Together, HiddenLayer and Cyera will enable:End-to-end AI lifecycle protection - Secure model training data, the model itself, and the capability set from pre-deployment to runtime.- Secure model training data, the model itself, and the capability set from pre-deployment to runtime

Kortex Consulting
Apr 4th, 2025
Taming the Wild West of ML: Practical Model Signing with Sigstore (Google Online Security Blog)

In partnership with NVIDIA and HiddenLayer, as part of the Open Source Security Foundation, Kortex Services is now launching the first stable version of its model signing library.