Product Manager - Insights & Analytics

Permanent contract
Paris
A few days at home
Salary: Not specified

Qevlar AI
Qevlar AI

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The position

Job description

About Qevlar AI

Qevlar is a B2B SaaS startup that strives to massively increase the productivity of cybersecurity teams. We develop AI Cybersecurity Analysts that augment Security Operations Centers (SOCs). Since our creation 2 years ago, we have:

  • Raised €14 million in seed funding led by EQT Ventures and Forgepoint Capital

  • Been incubated both by Microsoft (genAI studio) and Meta (AI program)

  • Deployed our solution to Global 500 companies and leading MSSPs in EMEA and NA

We're looking for a Product Manager to own a new product area: turning our platform data into insights, dashboards, and reporting that customers actually value.

About the role

Security teams need to understand what's happening in their environment, communicate value to stakeholders, and make informed decisions. Dashboards, analytics, and reporting are critical parts of this.

You'll own a greenfield product area focused on insights and visualization features. We need someone to talk to customers, identify what's useful, design the right experiences, and ship features people actually use.

This means spending time with security teams to understand their workflows, collaborating with design to build clear visualizations, and working with engineering to make it happen.

The hard parts: you're starting from scratch. The domain is broad. You need strong product instincts to identify what's valuable and ship iteratively without overbuilding.

What you'll do

  • Own the roadmap for platform insights, dashboards, and analytics features

  • Work directly with customers to understand what data and insights they need, and how they want to consume it

  • Collaborate with design to create visualizations that are clear, useful, and appropriate for different user types

  • Identify high-value opportunities by talking to users and analyzing platform data

  • Partner with engineering to define requirements, prioritize what's feasible, and ship iteratively

  • Track adoption and iterate based on how customers actually use these features

Who you are

Required:

  • 3-6+ years as a Product Manager in analytics, BI, data visualization, or platform products

  • Strong experience designing dashboards and reports - you understand how to make data accessible and actionable for different user types

  • Comfortable working with raw data and analytics teams to define requirements and validate feasibility

  • Ability to take ambiguous problem spaces and structure them into concrete product opportunities

  • User-focused - you talk to customers, watch them work, and let their reality shape what you build

  • Clear communication skills - you can explain data concepts to non-technical users and translate business needs to engineers

Nice to have:

  • Security or cybersecurity operations background (helpful but not required)

  • Experience building analytics or BI products for technical users

You'll struggle here if:

  • You need well-defined requirements and clear direction before you can start

  • You can't handle ambiguity - this is a new product area with open questions

  • You're more interested in sophisticated analytics than useful, simple insights

  • You can't balance technical possibility with commercial viability

Why join us

  • Own a greenfield product area with direct impact on company growth and retention

  • Join a small product team where your decisions shape not just features but business strategy

  • Build products deployed at Global 500 companies and leading MSSPs

  • A company culture that values customer obsession, clarity over complexity, and shipping fast

  • Opportunity for equity and early ownership

  • We're flexible on location - you can either work from home or join your colleagues in our beautiful office in Paris' 9th arrondissement

If you're excited about turning platform data into customer value, we'd love to hear from you.

Hiring process

  1. Intro Call

  2. Product Interview (customer scenarios, visualisation/analytics depth)

  3. Case Study (take-home exercise)

  4. Meet the Team

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