5 дней назад
Staff Product Manager, Growth (ML Search)
195 000 - 343 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Product Manager, Growth (ML Search): Owns the Snapchat Search product and machine learning roadmap, improving discovery of people, creators, and content with an accent on retrieval, ranking, experimentation, and growth measurement. Focus on designing evaluation frameworks, advancing semantic retrieval and ranking systems, and aligning machine learning, design, data science, research, and trust and safety teams.
Location: Bellevue, Los Angeles, New York, Palo Alto, or San Francisco, United States. The role follows a default-together policy requiring work in an office 4+ days per week.
Base salary: $195,000–$343,000 annually depending on U.S. pay zone, plus RSU eligibility.
Company
is a technology company operating chat and other digital services focused on visual communication, expression, discovery, and connection.
What you will do
- Own the chat Search product and machine learning roadmap across relevance, retrieval, and ranking.
- Grow Search as a destination for discovering people, creators, and content across web and in-app experiences.
- Advance retrieval and ranking systems and establish evaluation frameworks and quality standards.
- Define success metrics, design experiments, interpret results, and guide decisions to scale, iterate, or stop initiatives.
- Partner with machine learning engineering, design, data science, user research, trust and safety, and adjacent product teams.
- Set product strategy and communicate priorities, progress, learnings, and results to senior leadership.
Requirements
- 8+ years of experience building and shipping products at a technology company, or a master’s degree with 7+ years of experience.
- BS/BA degree or equivalent practical experience.
- Deep expertise in ML-driven ranking, retrieval, search, or recommendation systems.
- Strong product strategy, experimentation, data analysis, prioritization, and cross-functional influence skills.
- Ability to work in a U.S. office 4+ days per week at one of the listed locations.
Nice to have
- Experience owning an ML-powered product surface and model roadmap.
- Experience with consumer growth, search, discovery, feed ranking, or semantic and embedding-based retrieval at scale.
- Experience with A/B testing platforms, funnel and cohort analysis, and growth measurement frameworks.
- Experience partnering with trust and safety or content policy teams on user-generated content.
Culture & Benefits
- Collaborative product environment spanning product management, design, strategy, engineering, data science, research, and trust and safety.
- Paid parental leave and comprehensive medical coverage.
- Emotional and mental health support programs.
- Compensation packages with long-term equity participation through RSUs.
- Equal opportunity employment with support for diverse backgrounds and voices.
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