12 дней назад
Senior Product Manager (AI)
79 000 - 131 500€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (AI) (AI and scientific content platforms): Defining and delivering products and services for machine and AI access to scientific content with an accent on APIs, agent connectors, entitlement models, and commercial value exchange. Focus on validating machine-to-machine use cases, aligning legal and commercial stakeholders, and building scalable access and measurement capabilities.
Location: London Wall, United Kingdom
Salary: €79,000–€131,500 base pay if performed in Amsterdam, Netherlands.
Company
is a global information and analytics business supporting scientific research, healthcare, education, and clinical practice through trusted content, data, and technology.
What you will do
- Develop and maintain the strategy for machine and AI access to ’s scientific content.
- Translate strategy into a product roadmap and lead delivery with engineering from discovery through launch.
- Select and develop delivery mechanisms such as APIs and agent connectors for different use cases.
- Lead customer discovery and controlled pilots for machine-to-machine use cases and value exchange.
- Shape entitlement models, access tiers, identity, metering, versioning, and revocation capabilities with legal, commercial, product, and technology teams.
- Assess the competitive landscape and improve measurement of machine usage and customer value.
Requirements
- Proven digital product management experience, including complex trade-offs and roadmap prioritization.
- Experience using data and experiments to guide product decisions.
- Experience owning and successfully shipping API, data, or developer-facing products with engineering teams.
- Ability to work with architects and engineers on data formats, content structures, and delivery mechanisms.
- Strong communication, collaboration, and stakeholder alignment skills without direct authority.
- Familiarity with AI content consumption patterns such as retrieval-augmented generation, agents, or text and data mining is advantageous.
Nice to have
- Experience with licensing, entitlement, packaging, or pricing models.
- Research or scientific background, or understanding of scientists’, researchers’, or students’ needs.
Culture & Benefits
- Data-driven, mission-driven, and customer-focused working environment.
- Flexible working hours to support individual productivity.
- Wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
- Country-specific benefits and support for a healthy work-life balance.
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