7 дней назад
Senior Product Manager
182 800 - 247 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (EdTech): Developing language-learning products and features that make education more effective and engaging, with an accent on product strategy, user research, experimentation, and data-informed decisions. Focus on guiding features from ideation through iteration, aligning cross-functional teams, and optimizing learning experiences for millions of learners.
Location: New York, NY, United States
Salary: $182,800–$247,300 USD base salary per year, supplemented by equity compensation.
Company
develops technology and educational products designed to make learning universally accessible.
What you will do
- Improve the language-learning experience through impactful product features.
- Lead features through ideation, specification, development, release, analysis, and iteration.
- Define strategy for the focus area and build alignment with product teams, cross-functional partners, and leadership.
- Conduct qualitative and quantitative research to validate product ideas.
- Partner with engineers to guide feature development and analyze experiments for optimization opportunities.
- Execute product initiatives with urgency and high quality.
Requirements
- Demonstrated experience achieving strong results as a product manager.
- Ability to use user insights, data, and statistical analysis to inform decisions.
- Strong product and design judgment, with attention to detail.
- Resourceful, curious, and innovative approach to problem-solving.
- Motivation to improve education and people's lives through technology.
Culture & Benefits
- Work on products used by hundreds of millions of language learners worldwide.
- Access to senior leadership and transparency into product decision-making.
- Employee benefits supporting holistic well-being.
- Equal employment opportunity and reasonable interview accommodations.
Hiring process
- Applications may be reviewed with AI-assisted talent matching.
- Recruiting and hiring teams review all AI-assisted outputs and make final application decisions.
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