6 часов назад
Technical Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Product Manager (AI): Owns the direction and adoption of an internal GenAI platform used to build, test, and deploy AI use cases across Prosus, with an accent on roadmap prioritization, technical requirements, and stakeholder alignment. Focus on evaluating prompts and model outputs, defining adoption metrics, building reusable enablement playbooks, and translating ambiguous business needs into executable product increments.
Location: Amsterdam, Netherlands; hybrid workplace
Company
operates Toqan, an internal AI platform used across the group to build, test, and deploy GenAI use cases.
What you will do
- Own and prioritize the Toqan product roadmap based on feedback, technical feasibility, and business impact.
- Work with internal teams and portfolio companies to scope use cases, define MVPs and success criteria, and drive adoption through first production value.
- Translate ambiguous business needs into requirements, user stories, and acceptance criteria for engineering.
- Act as the primary interface between engineering and internal stakeholders, communicating priorities, trade-offs, and timelines.
- Test prompts, evaluate model outputs, track adoption and usage metrics, and identify platform risks and opportunities.
- Run webinars and enablement sessions, build reusable onboarding playbooks, and incorporate relevant developments in models, frameworks, and evaluation methods into the roadmap.
Requirements
- 4+ years of product management experience, ideally with AI-driven, data, or developer-facing platforms.
- Practical understanding of AI agents, including the distinction between agent features and skills.
- Hands-on experience with AI coding or agent tools such as Claude Code, Cursor, or similar.
- Technical fluency in GenAI concepts including prompting, embeddings, RAG, and evaluation.
- Ability to work closely with engineers, manage technical and non-technical stakeholders, define success metrics, and communicate clearly.
- Experience shipping products in ambiguous, fast-moving environments with a decisive, ownership-driven approach.
Nice to have
- Experience building or scaling internal tooling or platform products.
- Experience in enablement or platform teams supporting multiple internal business units.
- Background in computer science or a related technical field.
- Interest in challenging engineering products and complex technical problems.
Culture & Benefits
- High-ownership, hands-on product role at the intersection of engineering, applied AI research, and internal business teams.
- Focus on protecting engineering time while maintaining clear stakeholder communication.
- Opportunity to shape an internal platform used across teams and portfolio companies.
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