Senior Product Manager (Full Remote - Europe)

OUR VISION & PRODUCTS

EverAI — Building the Future of AI Companionship

One of the Top 15 Largest & Fastest-Growing AI Companies in the World

50 Million Users in 2 years — Help Us Reach 100M first, 500M next

At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories.

Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.

And we’re only just getting started!

OUR TEAM

We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.

Alexis Soulopoulos [CEO]

• 10+ years in Tech Executive Leadership
• Co-Founder Mad Paws Holdings (from 0 to IPO)
• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23

Michael Monin [Co-founder & CTO]

• 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM
• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)

Thomas Lacroix [Co-founder & CMO]

• 8+ years in Customer Acquisition & E-commerce Growth
• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)

Maruša Fasano [CFO/Legal]

• 25+ years in Finance, Strategy, M&A
• Ex-CFO/M&A @Curatible (exited to Blackstone)
• Ex-President of the Board @SotremoSA (exited)
• Co-founder/CFO @SoftOne (exited)

YOUR ROLE

Most Product Manager roles are built around specs and handoffs, waiting on a designer's mockup, an engineer's sprint slot, a data analyst's report.

This role is built differently: we're hiring a PM who does more than decide what should be built. You'll steer a developer squad end to end: investigating opportunities, analyzing user behaviour, prototyping solutions with AI, contributing code, launching experiments, and improving what reaches production.

You'll work directly with Pierre Gerbaud, Product Lead, and Michael Monin, our Co-founder & CTO, on a product already used by more than 50 million people and growing toward 100 million users.

At this scale, every small improvement can create significant impact, and you'll have the space to spot these opportunities and act on them quickly.

If your first instinct is to test an idea by making it real, this is your role.

YOUR RESPONSIBILITIES

• Own the work end to end, not just a piece of it: Understand the problem, choose an approach, build the solution (AI-assisted coding, opening pull requests, working with internal tools), launch it, measure it, and iterate with as few handoffs as possible;
• Build with AI every day: Use AI tools for research, analysis, prototyping, and debugging; as a genuine part of how you think and work, evolving with the tools as they improve;
• Decide what's worth pursuing, and test it fast: When a dozen directions look plausible and there are more ideas than time, identify the opportunities that matter most and design the smallest meaningful experiment to test your assumptions;
• Let the results determine what happens next: Define success before you build, analyse the outcome once the experiment is live, and use what you learn to improve, expand, or stop what you shipped;
• Work embedded in a software engineering squad: partner directly with Leads, Co-founders, designers, and engineers to define and deliver priority projects, and communicate progress and decisions to all relevant stakeholders;
• Keep momentum high: Surface blockers the moment they appear, challenge assumptions directly regardless of who made them, and find another route forward when the obvious one is blocked;

YOUR QUALIFICATIONS

• You build with AI: you’ve personally built and shipped a functional feature, experiment, prototype, workflow, or tool using AI coding tools. Claude Code, Cursor, Codex, or similar tools are already part of how you work everyday;
• You use data to make product decisions: you can name the metrics you want to influence, explain why it matters, and say whether your work actually moved them. You’ve run A/B tests, product experiments, data deep-dives, or lightweight user research and used the findings to shape what was built next;
• You explore AI independently: you actively seek out and experiment with new tools and techniques without waiting for a project or manager to require them;
• You take ownership and move without waiting for certainty: comfortable with ambiguity, you create clarity by investigating, building, testing, and learning rather than waiting for a complete brief. You balance execution against planning, address blockers early, and take responsibility for the outcome rather than waiting to be told what to do, caring more about reaching the right result than following a …