21 час назад
Staff Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (AI): Leading the strategy and roadmap for machine learning-powered solutions with an accent on transforming complex data into actionable insights. Focus on bridging the gap between technical model capabilities and customer-focused product experiences in a fast-paced environment.
Location: Must be based in the United States
Company
is a platform facilitating AI-powered matching between candidates and partner companies.
What you will do
- Own the product strategy and roadmap for machine learning-powered solutions.
- Partner with data scientists and ML engineers to define requirements and success metrics.
- Translate complex technical capabilities into scalable, customer-focused products.
- Conduct user research to understand workflows and identify improvement opportunities.
- Communicate product vision and trade-offs across cross-functional teams.
- Drive the evolution of AI products by optimizing model performance and usability.
Requirements
- 8+ years of product management experience with a track record of delivering successful products.
- Must be based in the United States.
- Proven experience managing products powered by machine learning models.
- Background building B2B products relying on data-driven insights.
- Strong ability to collaborate with technical teams on model development and trade-offs.
- Experience working in fast-paced startup environments.
Nice to have
- Experience with geospatial products or GIS technologies.
- Knowledge of large-scale data platforms and pipelines.
- Experience with computer vision or image-based ML applications.
Culture & Benefits
- Competitive, location-specific compensation package.
- Flexible and autonomous remote working environment.
- Home office stipend and coworking support.
- Dedicated budget for continuous professional development.
- Opportunity to work with a diverse international team.
- Focus on technology solutions addressing global challenges.
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