[Paris] Product Manager (PO/PM)

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

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

• 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

• 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

• 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

• 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)

• 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

• 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

• 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

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.