Product Manager

Reposted An Hour Ago
28 Locations
Remote
Mid level
Artificial Intelligence • Security • Cybersecurity
AI meets Vulnerability Management.
The Role
As Product Manager, you will drive the product strategy and execution for an AI-powered vulnerability management platform, collaborating with engineering teams and ensuring product-market fit through customer validation and feedback.
Summary Generated by Built In
Summary of the Role:

As Product Manager at Maze, you'll be building breakthrough AI-powered solutions for some of the most technically complex challenges in cybersecurity—working directly with engineering teams to tackle either automated remediation workflows or code vulnerability detection at cloud scale. This is a unique opportunity to join as one of the early team members of a well-funded startup, potentially as the sole PM driving product strategy across our agentic vulnerability management platform.

This role is unlike traditional PM positions. You won't be writing detailed PRDs or telling engineers what to build. Instead, you'll work collaboratively with our technical teams on solving problems together, leveraging their deep expertise while providing product direction and customer insight. Your success will be measured by ARR growth and POC conversion rates, not feature delivery timelines. This role is perfect for an engineer looking to transition into product, or a technical PM from a cloud/application security background who thrives on solving extremely technical problems and wants to build something extraordinary from the ground up.

Your Contributions to Our Journey:
  • Work Collaboratively with Engineering: Partner with engineering teams on problem-solving rather than directing them—give them ownership and freedom to research solutions while you provide product direction, customer context, and strategic guidance

  • Own a Technical Product Area: Drive either automated remediation (helping security engineers fix risks efficiently) or code vulnerability detection (linking code vulnerabilities to cloud infrastructure)—you'll have significant freedom to shape these areas from scratch

  • Leverage Technical Teams: Use engineering expertise to understand complex technical concepts—CI/CD pipelines, cloud architectures, application security—rather than trying to figure everything out yourself

  • Drive Customer-Centric Development: Spend time with customers conducting research, validating hypotheses, and translating security workflows into product requirements that solve real pain points

  • Enable Zero-to-One Product Development: Take new capabilities from concept to launch, building from scratch while establishing product-market fit through customer validation

  • Make Commercial Product Decisions: Balance technical possibilities with commercial reality, measuring success by ARR growth and POC conversion rates rather than feature completeness

  • Support Go-to-Market Efforts: Create messaging and positioning for your product area, support sales teams with training materials, and help communicate technical capabilities to prospects

What You Need to Be Successful:
  • Technical Background (Essential): Deep hands-on technical experience as an engineer—ideally a security engineer with cloud security or application security background. You must understand how code gets built, CI/CD pipelines, cloud architectures, and application security concepts. This is non-negotiable.

  • Cloud or Application Security Domain: Specific experience with cloud security (AWS/GCP/Azure security, infrastructure security) or application security (code analysis, SAST/DAST, vulnerability detection in applications)—not general cybersecurity or third-party risk management

  • Product Experience (Flexible): We're open to various backgrounds: engineers looking to transition into product, early-career PMs from technical security companies, or those with limited PM experience but deep technical credentials. Years of PM experience at large companies is less important than technical depth and adaptability.

  • Collaborative Mindset: Natural inclination to work WITH engineering teams rather than direct them—you see engineers as partners in problem-solving, not implementers of your requirements. You give autonomy and freedom while maintaining clear direction.

  • Zero-to-One Builder: Comfort building in ambiguous environments where solutions aren't clear, with ability to create something from scratch and establish product-market fit through customer validation

  • Fast Learner: Ability to get up to speed quickly on extremely technical concepts, leverage people around you for answers, and operate effectively in a startup environment where things move fast

  • Commercial Thinking: Understanding that success is measured by ARR growth and POC conversion, with ability to make product decisions based on revenue impact and customer value

  • Customer Engagement: Willingness to spend time with customers understanding their workflows, conducting research, and translating technical security challenges into product solutions

  • Nice to Haves:

    • Experience at early-stage technical security companies (Wiz, early Snyk, cloud security or app sec startups)

    • Background in vulnerability management, risk platforms, or detection tools

    • Previous PM experience in cloud security or application security products

    • Exposure to AI/ML products or agent-based systems

    • Track record of successful engineering-to-PM transitions

    • Experience working in highly technical, startup environments

Why Join Us:
  • Ambitious Challenge: We're using generative AI (LLMs and agents) to solve some of the most pressing challenges in cybersecurity today. You'll be shaping the product vision at the cutting edge of this field, defining breakthrough solutions for security teams.

  • Expert Team: We are a team of hands-on leaders with experience in Big Tech and Scale-ups. Our team has been part of the leadership teams behind multiple acquisitions and an IPO.

  • Impactful Work: Cybersecurity is a force for good - helping to stop cyber attacks ultimately helps deliver better outcomes for all of us. Your product decisions will directly enable security teams to protect organizations worldwide.

  • Build an AI-Native Company: We're building a new company in the AI era with the opportunity to design everything from the ground up - you'll define the product strategy that scales our AI-powered platform.

  • Product Leadership Growth: Direct partnership with experienced founders, significant equity upside, and the opportunity to own the product function as we scale through our next phase of hypergrowth.

Top Skills

AI
Ci/Cd Pipelines
Cloud Security
Edr
Llms
Ndr
Vulnerability Management
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The Company
HQ: London
36 Employees
Year Founded: 2024

What We Do

AI Agents that investigate and resolve security vulnerabilities.

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