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Staff Product Manager

We’re looking for a Staff Product Manager who’s passionate about security, fraud prevention, and the emerging internet of agents. You’ll own and evolve AgenticTrust, collaborating closely with our New York–based Sr. Director of Product Management to define strategy and deliver outcomes that protect real customers on real surfaces. You’ll partner with customers and internal teams to detect, classify, and govern AI agent interactions across web, app, and mobile experiences. If you thrive in fast-moving environments and love shaping products for a new threat landscape, this role is for you.

What you'll do:

Shape the Product Vision & Strategy

  • Partner with the Sr. Director of Product Management to set and execute a vision aligned with HUMAN’s mission.

  • Own the roadmap that integrates customer feedback, evolving agentic risks, and standards developments.

  • Turn complex “agentic” problems into pragmatic controls that reduce risk while preserving good user journeys.

Drive Product Execution & Innovation

  • Lead delivery of capabilities for agent identification, behavior/intent assessment, and real-time governance.

  • Translate customer pain points (e.g., scraping, mass sign-ups, login cycling, profile-change abuse) into clear, testable requirements.

  • Work closely with engineering, design, data science, and threat research to ship iteratively with measurable impact.

Engage with Customers & Stakeholders

  • Build trusted relationships with security, fraud, platform, and product teams at enterprise customers.

  • Communicate vision, roadmap, and releases across HUMAN; partner with sales, marketing, and CS to drive adoption.

Make Product-Sense Driven Decisions

  • Use telemetry, analytics, and qualitative research to balance friction, risk, and business outcomes.

  • Prioritize controls that align with customer policies and critical flows.

Who you are:

  • 6–10 years of product management experience owning B2B enterprise software.
    Passionate about cybersecurity, fraud prevention, and user trust; curious about the agentic AI threat surface.

  • Structured, data-driven thinker who excels at simplifying complex systems into lovable products.

  • Customer-obsessed; strong communicator who aligns cross-functional teams and ships.

  • Self-starter with a bias for action in high-growth, ambiguous spaces.

  • Excellent verbal and written communication skills.

Bonus points (nice to have!)

  • Background in security, fraud, or platform protection (bot mitigation, WAF/CDN/CIAM integrations, client-side threats).

  • Experience with governing automated actors (bots/LLMs/agents)

  • Familiarity with open standards and approaches for agent identity/verification

  • Experience leading ML/AI-powered features and PLG motions.

About HUMAN Security

HUMAN was founded in a Brooklyn sci-fi bookstore with a hacker mindset and the lofty mission of making the internet safer by putting humans first. Today, our Human Defense Platform safeguards enterprises from sophisticated bots, fraud, and account abuse, verifying the humanity of more than 20 trillion interactions per week for the world’s biggest brands and internet platforms.

HUMAN is an equal opportunity workplace dedicated to protecting the internet's integrity for everyone. We believe in putting people first, embracing diversity of thought from our global teams, and welcoming all individuals to share their unique experiences as we fight cybercrime together. We support our Humans with a comprehensive total rewards package for personal and professional development, including well-being and learning stipends, flexible work options, and dedicated time off. While our HQ is in NYC, we have teams worldwide.

HUMAN is growing fast, and there’s never been a more meaningful time to join us. If you thrive on solving complex problems and want to help shape the future of cybersecurity, join us as we build a safer, more human internet.

If you are an individual with a disability or special need that requires accommodation, please contact us directly.

Average salary estimate

$190000 / YEARLY (est.)
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$160000K
$220000K

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
August 14, 2025
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