Product Lead Practitioner
New
C
Crosslake TechnologiesPrivate Equity Advisory
This role can be based from anywhere in Europe on a fully remote basis, multiple time zonesContractSenior
Salary not disclosed
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Job Details
- Experience
- 15+ years
- Required Skills
- AgileArtificial IntelligenceMachine LearningProduct ManagementSaaSMarket Research
Requirements
- 15+ years of product management experience, with significant time in senior or executive leadership roles (Director, VP, CPO, or equivalent) at B2B software or SaaS companies operating in EMEA or globally
- Demonstrated track record shipping products at scale, including ownership of product strategy, roadmap prioritisation, and cross-functional delivery in agile environments across regional or international markets
- Hands-on experience building or leading AI/ML-powered products, including defining strategy, build/partner/buy decisions, managing model risk, and navigating data protection across EMEA
- Ability to critically evaluate a company's AI strategy from the outside, including data assets, model dependencies, technical differentiation, competitive vulnerability, responsible AI posture, and regulatory exposure
- Strong analytical capability: fluency using market research, customer data, competitive intelligence, and regional market signals to form defensible, evidence-based conclusions
- Exceptional written and verbal communication; able to translate product and technology complexity into concise narratives for non-technical executive audiences
- Broad experience across enterprise software, B2B SaaS, and the full SDLC from discovery through delivery and growth
- Comfort working in fast-moving, ambiguous environments, often across multiple markets and time zones, with high accountability for output quality
Responsibilities
- Lead and contribute to product assessments for investment firms and portfolio companies across the EMEA investment lifecycle, from pre-close diligence through post-close value creation and exit preparation
- Evaluate the strength, credibility, and competitive defensibility of a target company's product strategy, roadmap, and go-to-market approach across EMEA markets
- Assess how AI and machine learning are embedded in a company's product distinguishing genuine capability from surface-level positioning
- Analyse product-market fit, customer segmentation, expansion opportunity, localisation needs, and the assumptions underlying growth projections across EMEA
- Review product team structure, delivery capability, execution track record, and organisational readiness for growth across distributed EMEA teams
- Conduct primary research including executive interviews, customer discovery conversations, and expert network engagements across relevant EMEA markets
- Synthesise findings from documentation, regional market research, customer evidence, and interviews into structured, investment-grade deliverables
- Communicate complex product and market dynamics clearly and concisely to deal teams, investment committees, operating partners, and company leadership across EMEA
- Advise portfolio company product leaders on strategy, prioritisation, localisation, and capability development post-close
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