---
title: 'Product Manager (PO/PM) at Dedale Intelligence'
canonical: 'https://feeny.ai/job/product-manager-po-pm-dedale-intelligence-paris-az1fmsnrywrj'
type: 'job'
last_seen: '2026-09-04'
---

# Product Manager (PO/PM) at Dedale Intelligence

- **Company:** Dedale Intelligence
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/dedale-intelligence/a246b7e5-b9f4-4e2c-a90a-da4ff935e773

## Job description

## ABOUT DEDALE:

Dedale is a fast-growing intelligence company. We are the go-to source for investment and strategic intelligence in the B2B technology market. Our product supports private-equity investors, corporate strategy teams and M&A advisors make sense of complex markets: proprietary intelligence on 50,000+ companies across 500+ Tech segments supported by market and deal data, expert perspectives.

Our product is growing fast with more than 1,500 clients already relying on it and an ambitious roadmap to scale fast.

## ABOUT THE ROLE:

As our Product Manager (PO / PM), you will own product delivery across the full scope of the Dedale platform, end-to-end, from discovery to shipped feature. You will join our product and engineering team, report directly to the CPO, and work closely, day to day, with our 30+ data team, our research team, and our external design partner.

You own your product area end-to-end: talk to internal and external users, shape the roadmap with the CPO, write the specs, guide the engineering team and drive delivery to launch. You own outcomes, not hand-offs: you decide what ships, define what “good” looks like, and make sure it lands. High-impact, high-autonomy, with a clear path toward Lead Product Manager and Product Director.

One specificity of product at Dedale: our software is only as strong as the data beneath it. So part of the role is keeping the product and data roadmaps in step and working with our Head of Data and Senior Data Engineer so features and the data they rely on are ready together.Staying curious about new tools and approaches, and bringing that curiosity to the team.

## YOUR FIRST 3 MONTHS:

- First 2 weeks: get to know the platform, the users and the team, and take the backlog in hand
- First month: own the backlog and ship your first releases, at a steady cadence
- By month 3: run your product area end-to-end, discovery to launch; owning the roadmap, the quality bar, and the outcomes for your area

## YOUR KEY RESPONSIBILITIES:

Product Ownership & Delivery

- Own the roadmap and a well-groomed backlog for the product, set with the CPO and prioritized on user value and impact
- Write crisp user stories, specs and acceptance criteria the engineering team can build from
- Partner with the engineering team to ensure they have all they require to ship in an agile and pro-active approach
- In alignment with the Head of Engineering, make scope and trade-off calls transparently, balancing value, effort and readiness

Discovery & User Value

- Talk to users (investors, analysts, research and go-to-market teams) and turn their pain points into problems worth solving
- Validate ideas quickly (user interviews, prototypes, data spot-checks) before committing build effort
- Brief and partner with our external design agency; frame the problem, review designs in Figma, keep the bar high
- Define success metrics and track them post-release in PostHog (adoption, usage, satisfaction)

Quality & Reliability

- Own the definition of done and release acceptance: the product works, and the data behind it is correct, before it ships
- Hold a high quality bar: catch regressions, triage and prioritize bugs, fix root causes
- Monitor releases post-launch (usage, errors, data quality) and close the loop fast
- Partner with the engineering team to maintain a buffer for continuous improvement of the product and ensuring an increasing quality day-by-day
- Partner with engineering and data on test coverage and release readiness

Keeping Tech & Data in sync our specificity, with the Head of Data and Senior Data Engineer

- Co-plan releases so each feature and its data land together: no feature waiting on data, no data with nowhere to go
- Keep a shared view of what data (pipelines, enrichment, tagging, taxonomies) must be ready for which feature, and by when

Communication & Stakeholder Management

- Keep leadership, go-to-market and research stakeholders aligned on roadmap, progress and trade-offs and be the reliable translator between technical, data and business audiences

## WHAT WE ARE LOOKING FOR:

Must-haves:

- 3 to 6 years as a Product Owner and/or Product Manager on a software product (ideally B2B SaaS)
- Strong agile delivery track record: backlog ownership, clear specs, and a habit of shipping regularly
- Solid product and business sense: you run discovery, understand needs and usage, prioritize well, and define and track success metrics
- Comfortable with data: you have worked on a product with a real data layer and can hold your own with data engineers on coverage and quality
- Fluent English is essential: it is our common working language, and many of the team don’t speak French. French is a plus, not a requirement
- Exposure to AI / LLM-powered features, search or retrieval products

Nice-to-haves:

- Familiarity with private equity, financial services, market intelligence or data-provider environments
- Analytical and hands-on: comfortable checking things yourself in SQL or a BI/analytics tool
- Experience with taxonomies, metadata, knowledge bases or content-heavy platforms

Who you are:

- You treat a feature as unfinished until it is genuinely done (working, tested, and the data correct) while balancing pace of shipping
- You are proactive and curious, and communicate clearly with technical and non-technical stakeholders alike

## WHAT WE OFFER:

- High autonomy and direct impact from day one
- A collaborative, intellectually stimulating environment at the intersection of data, AI and decision-making
- Competitive compensation package
- High proximity with all teams at Dedale, benefitting from our startup/horizontal organization
- Flexible, remote-friendly working and an international, English-speaking team, based in Paris

## About Dedale Intelligence

## Company Overview
- **One-liner**: Dedale Intelligence provides AI-augmented strategic market and competitive intelligence for investors and corporates in the technology sector.
- **Entity Type**: Private (Scale-up, no disclosed funding rounds)
- **Headquarters**: Paris, France
- **Founded**: 2020
- **Founders**: Benjamin Forlani (Founder & CEO)

## Core Business
- **Primary industry/industries**: Strategic Intelligence, Market Research, Competitive Intelligence, B2B Software M&A Advisory
- **Target customers**: Private Equity funds, Corporate Executives, M&A Advisors (B2B, enterprise focus)
- **Mission or purpose**: To become the most trusted and sought-after source of global strategic intelligence in the technology space, driving positive change in the investment and corporate world.

## Products & Services
- **Target Investigation**: Deep-dive due diligence on specific targets using proprietary methodology enhanced by AI.
- **Market Investigation**: Market intelligence combining AI-driven data aggregation with human-validated insights from customers, competitors, and channels.
- **Deals, Valuation & Comparables**: Continuous tracking of transactions, valuation levels, and comparable analysis across 100+ technology segments.
- **My Intelligence (Bespoke)**: Custom, exclusive intelligence for sensitive topics, blending AI synthesis with human-led research, voice-of-customer, and competitive analysis.
- **Technology Market Analysis**: 100+ AI-supported market analyses covering horizontal and vertical technology spaces in North America & Europe.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: 170+ customers in North America & Europe; 3,000+ tech companies investigated in depth; 75% of top active tech M&A firms leverage Dedale Intelligence.
- **Notable Investors/Partners**: Not publicly listed (bootstrapped/private growth)
- **Growth Signals**: Headcount grew from ~100 to 402 employees (LinkedIn, 2026); offices in Paris, New York, London, Munich, Cebu, Manila, Ho Chi Minh City, Cairo; team spans 20+ nationalities; high customer retention (recurring client base).

## Competitive Advantages
- **AI + Human Hybrid Model**: Proprietary AI-powered analytics combined with deep human-led due diligence and industry veteran community.
- **Global Reach with Local Roots**: Coverage across North America and Europe with local-language investigation capabilities; team on 4 continents.
- **Technology-Centric Focus**: 100% dedicated to the tech sector, covering 200+ software & technology segments.
- **Trusted by Top Firms**: Over $1 trillion in private equity capital relies on their research; 75% of leading tech M&A firms use them.

## Strategic Focus
- Expand global footprint (especially North America & Europe) while deepening local coverage.
- Continue integrating AI to accelerate aggregation and analysis while maintaining human validation.
- Scale the team and platform to become the definitive source of truth for strategic tech intelligence.

## Why Work Here
- **Culture**: Values "smart, hungry, and humble" individuals; down-to-earth, inclusive, diverse, modern, and global environment. Emphasis on impact over face-time.
- **Work Flexibility**: Remote and flexible work opportunities; hybrid model; no strict face-time policy.
- **Growth & Development**: Coaching and mentorship programs, executive coaching for emerging leaders, cross-functional career paths, training programs, and leave of absence after 3 years.
- **Perks**: Local high-coverage insurance, paid vacation, personal/sick days, monthly team outings, dress-as-you-are policy.
- **Team & Community**: 402 employees from 20+ nationalities; offices in Paris, New York, London, Munich, Cebu, Manila, Ho Chi Minh City, Cairo.
- **Active Hiring**: 10+ open positions including Customer Success, Data Operations, Strategy, Finance, and Engineering roles (as of mid-2026).

## Sources
1. [dedale.com](https://www.dedale.com/)
2. [dedale.com/about-us/the-company](https://www.dedale.com/about-us/the-company)
3. [dedale.com/about-us/life-at-dedale-intelligence](https://www.dedale.com/about-us/life-at-dedale-intelligence)
4. [linkedin.com/company/dedale-intelligence](https://www.linkedin.com/company/dedale-intelligence)
5. [builtin.com/company/dedale-intelligence](https://builtin.com/company/dedale-intelligence)

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