Zefr

Product Manager

Paris, Île-de-France, France

€61,000 – €86,500Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Real Estate, Biotechnology, AIIndustries

About Zefir

Zefir is Europe's fastest-growing Real Estate Marketplace. We're transforming how homes are bought and sold, enabling transactions twice as fast as traditional methods. In just 20 months, we've achieved over €1 billion in Gross Merchandise Volume (GMV) and grown from €0 to a €15 million annual revenue run rate.

Backed by over €40 million from top-tier investors like Sequoia Capital, Fintech Collective, Heartcore Capital, and Zigg Capital, we're committed to accelerating life changes for millions of current and future European homeowners.

Product Team

We’re building the first fully AI-based real estate experience in Europe — from the first search to the final signature. Our goal is simple: help users buy and sell on autopilot, by combining smart automation with human expertise.

We focus on high-impact, high-friction moments in the journey (pricing, visits, offers etc.), and design AI-powered co-pilots that act before users even have to ask. Our approach is pragmatic, data-driven, and built to deliver real outcomes — not just features.

Responsibilities / Mission

As a Product Manager at Zefir, you’ll own a strategic scope and work cross-functionally to build high-impact, AI-based user experiences. You’ll operate at the intersection of strategy, execution, and iteration—driving measurable outcomes and pushing the craft forward.

Define Vision & Strategy

  • Craft a compelling product vision aligned with user needs and business outcomes.
  • Translate it into a clear, prioritized roadmap and OKRs.

Driving Discovery & User Insights

  • Run continuous discovery using mixed methods (quant, qual, AI-driven signals).
  • Turn insights into clear problem statements and prioritization frameworks.
  • Build deep product intuition, informed by market context and data.

Owning Delivery & Execution

  • Manage the full product lifecycle from idea to launch and iteration.
  • Write sharp specs, orchestrate team prioritization, and drive execution with engineering and design partners.

Shaping Data Culture & Experimentation

  • Define success metrics at both product and business levels (e.g. conversion, revenue etc.).
  • Instrument tracking plans, run tests or synthetic benchmarks, and build automated dashboards (Amplitude, gsheet).
  • Champion a culture of iteration and impact-based decisions.

Collaborating Across Disciplines

  • Work hand-in-hand with operations, growth, sales and leadership teams.
  • Navigate trade-offs and ensure strong cross-functional alignment.

Qualifications

This role is for you if you:

  • Have 4–8 years of experience in product management. You either studied at a top-tier school, or made your mark by scaling quickly and driving measurable impact at a leading scale-up. A background in startups, consulting, or operations with strong product exposure is a plus.
  • Have exceptional product sense — you think from first principles, spot leverage points, and translate insights into bold product bets.
  • Bring strong technical acumen — you understand system trade-offs, use SQL regularly, and explore how AI tools can accelerate delivery.
  • Have already shipped successful AI-based features — or can demonstrate a strong, hands-on interest in how AI is transforming product development.
  • Rely on a quantitative and iterative mindset — you define the right metrics, design experiments, and learn fast.
  • Excel at collaboration and communication — you align people through clarity, trust, and shared outcomes.
  • Operate with autonomy and proactivity — you move decisively, embrace ambiguity, and push projects forward with urgency.
  • Are fluent in English — all rituals and documentation are in English.

Benefits

  • Competitive salary: You can run your own simulation with our salary calculator.
  • BSPCE (Stock Options): Available for everyone, with monthly vesting after year one, over a 4-year period.
  • Healthcare plan: Full coverage with Alan for team members, their partners, and children.
  • Office in Sentier, Paris (2nd arrondissement):

Job Details

  • Salary: €61K - €86.5K
  • Location Type: Hybrid
  • Employment Type: FullTime

Skills

Product Vision
Roadmap Development
OKRs
User Insights
Quantitative Analysis
Qualitative Analysis
AI
Product Lifecycle Management
Agile Methodologies
Data-Driven Decision Making

Zefr

Contextual advertising technology for brands

About Zefr

Zefr focuses on contextual advertising, helping brands place their ads alongside relevant content without using personal information. Their technology is especially effective for video ads on platforms like YouTube and Facebook, allowing brands to reach specific audiences while maintaining user privacy. Zefr's Contextual Data Management Platform organizes brand preferences to deliver targeted ad campaigns with high engagement rates. The company differentiates itself by prioritizing privacy-compliant advertising, making it a valuable partner for brands looking to optimize their digital marketing efforts.

Los Angeles, CaliforniaHeadquarters
2009Year Founded
$63.1MTotal Funding
SERIES_ECompany Stage
Data & Analytics, EntertainmentIndustries
201-500Employees

Risks

Emerging AI technologies may increase competition in contextual advertising.
Reliance on platforms like YouTube and Facebook exposes Zefr to algorithm changes.
Expansion into new platforms like Snapchat may pose integration challenges.

Differentiation

Zefr specializes in privacy-compliant contextual advertising, avoiding personal information usage.
Their Contextual Data Management Platform offers impression-level transparency for ad campaigns.
Zefr's Atrium suite provides transparency in walled gardens like Meta and TikTok.

Upsides

Growing demand for privacy-compliant ads aligns with Zefr's contextual advertising approach.
Expansion into Snapchat's ad ecosystem enhances Zefr's brand safety measurement capabilities.
Promotion of Jon Morra to Chief AI Officer boosts AI-driven content analysis.

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