обновлено 12 часов назад
Staff Product Manager (AI and Data Enrichment)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (AI and Data Enrichment) (AI/Data Platform): Building the data foundation for a customer intelligence platform, from collection and ingestion through enrichment models, APIs, and MCP access, with an accent on AI/LLM-powered enrichment, data quality, and scalable architecture. Focus on translating an under-defined vision into buildable systems, shaping platform roadmaps, and driving reliable adoption of enriched data by internal teams and customers.
Location: Remote, with a European-timezone team; listed in London, GB
Company
builds a customer intelligence platform that helps gaming studios, global brands, and music labels manage and monetise communities across Discord, Reddit, and other platforms.
What you will do
- Own the data platform end to end, including collection, ingestion, enrichment, warehousing, APIs, and MCP access.
- Define the data contract, enrichment roadmap, and quality systems supporting Agents, Dashboards, and customer AI applications.
- Translate an under-defined product vision into system designs, component interactions, and discrete engineering projects.
- Set priorities and success metrics using product data and insight into social listening and community analytics.
- Work directly with engineers from concept through launch and maintain a high quality bar on an aggressive timeline.
- Partner with internal teams and customers to communicate releases and drive adoption.
Requirements
- End-to-end ownership of a platform or data product used by other teams.
- Experience shaping pipelines, data models, architecture, storage, and cost trade-offs with engineering teams.
- Hands-on platform work with AI and LLMs, including productionising enrichment and evaluating output quality.
- Strong product and customer data judgment, roadmap ownership, and ability to lead without formal authority.
- Clear written and verbal English is required.
- Ability to work fully remotely in a European time zone.
Nice to have
- Knowledge graph, entity model, schema design, or taxonomy experience.
- AI/ML pipelines, classical NLP, or modern LLM-based approaches.
- Data engineering experience with partitioning, warehouse design, or high-volume event data.
- Software engineering experience, social media analytics, audience insights, SaaS data products, or founder/operator experience.
Culture & Benefits
- Fully remote work with flexible working hours.
- Five weeks of holiday allowance.
- Home office budget after three months of probation.
- Stock option plan and new technology equipment.
- Ownership, direct feedback, bias for action, and continuous improvement are core working principles.
Hiring process
- Video call with the Talent Partner.
- Video calls with the Head of Product, CTO and Cofounder, and VP Operations & Strategy.
- Live exercise with an engineer.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
6 дней назад
Senior Product Manager (AI)
156 000 - 237 000$
4 дня назад
Technical Product Manager, AI Systems
6 дней назад
Senior AI Product Manager (SaaS)
96 000 - 103 000GBP
Glean
6 дней назад
Product Manager, AI Quality (AI)
160 000 - 240 000$
Glean
6 дней назад
Product Manager, AI Quality (AI)
160 000 - 240 000$
7 дней назад