Product Manager (PO/PM)

Dedale Intelligence; France; Sur place; EUR 80 000 - 110 000; Plein temps

Résumé du poste

Dedale Intelligence seeks a Product Manager to own delivery across the Dedale platform end-to-end, from discovery to shipped features. You will join the product and engineering team, report to the CPO, and work with data, research and external design partners to shape the roadmap and drive outcomes.

You own your product area end-to-end: talk to users, write specs, guide engineering, and define what success looks like. High autonomy with a clear path toward leadership roles.

Qualifications

• 3 to 6 years as a Product Owner/Manager on software (B2B SaaS preferred).
• Strong agile delivery: backlog ownership, clear specs, regular shipping.
• Business sense: discovery, prioritisation, success metrics.
• Comfort with data: work with data engineers on coverage and quality.
• Fluent English; French is a plus.

Responsabilités

• Own roadmap and backlog for the product area with the CPO.
• Write crisp user stories, specs and acceptance criteria.
• Collaborate with engineering to ship in an agile way.
• Define success metrics and track adoption and usage post-release.
• Ensure data and product semantics align across data pipelines.

Connaissances

Product Ownership

Agile delivery

Data literacy

English fluency

AI / LLM features

SQL

Figma

PostHog

Outils

SQL

Figma

PostHog

Description du poste

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 (specificity)
  • 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,