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AI Product Manager
Build AI products that solve real problems
Intermediate
87% match
Your profile blends product vision and business acumen, ideal for shipping AI features in B2B SaaS or platform products. You translate model capabilities into roadmap bets, run tight discovery loops, and communicate trade-offs clearly to engineering and leadership.
EU salary band
52 to 92K€
FR/DE/NL, 2025 to 2026
Time to first offer
4 to 6 mo
with structured roadmap
Open roles / month
180+
LinkedIn EU, AI PM keywords
Remote-friendly
~62%
hybrid or full remote
Stipendio stimato
52 to 92K€
Tempo all'inserimento
4-6 months
Panoramica del ruolo
AI Product Managers own the problem space, roadmap, and success metrics for AI-powered experiences, from copilots to ranking systems. You partner with ML engineers on feasibility, with design on conversational UX, and with GTM on positioning and pricing.
Punti di forza
- Strong business alignment and stakeholder management
- Structured prioritization when requirements are fuzzy
- Appetite for rapid prototyping with LLMs and no-code tools
- Comfort explaining technical constraints to non-technical buyers
- Evidence-driven mindset on product metrics and experimentation
- Ability to frame AI features around jobs-to-be-done, not hype
Competenze da rafforzare
- Hands-on eval pipelines (accuracy, hallucination rate, latency budgets)
- Pricing models for API-heavy products (unit economics, margin guardrails)
- Regulatory awareness for EU AI Act high-risk use cases
Quick win
Complete Prompt Engineering for Developers (DeepLearning.AI), ~1 week
Ship a PRD + clickable prototype for one internal AI use case
Publish a LinkedIn post breaking down one real AI product launch
Set up a lightweight eval harness (golden prompts + pass/fail) for a demo bot
Attenzione a
Invest time in LLM evaluation metrics and cost/latency trade-offs, that's what separates a credible AI PM from a generic product manager title.
Competenze richieste
Product discovery
Prompt engineering
Product metrics
UX research
AI roadmapping
Stakeholder communication
Una giornata tipo
- Review overnight eval runs and user feedback on a beta copilot
- Prioritize backlog with eng: latency fix vs. new retrieval feature
- Run a 45-min discovery session with customer success on enterprise objections
- Draft acceptance criteria for an agent workflow (tools, guardrails, fallbacks)
- Align leadership on Q3 bet: vertical fine-tuning vs. better RAG chunking
Aziende che assumono (UE)
Mistral AI
Alan
Doctolib
Contentsquare
Swile
Pigment
Scale-up B2B SaaS (Series B to D)
Big tech EU hubs (Paris, Dublin, Amsterdam)
Playbook per il colloquio
- Lead with 2 case studies: problem → AI approach → metrics → what you'd do differently
- Show you can write eval criteria, not just user stories
- Target PM roles with « AI », « GenAI », or « ML platform » in the title
- Network via Product Tank Paris, Lenny's community, and ML product Slack groups
Tool che userai
Notion + FigJam
PRDs, flows, workshop boards
OpenAI / Anthropic APIs
Prototypes & eval datasets
LangSmith / Braintrust
Tracing, evals, regression tests
Amplitude / Mixpanel
Activation, retention, funnel analytics
Linear / Jira
Roadmap delivery with eng
Il tuo arco di 12 settimane
1.Week 1 to 2: foundations + first PRD
2.Week 3 to 4: prompt craft & eval harness
3.Week 5 to 8: discovery + metrics dashboard
4.Week 9 to 12: GTM narrative + portfolio + applications