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Senior Product Manager, Growth Platforms
Not specifiedFull-timeProduct ManagementSocial Media
Own a product system supporting user acquisition across major social apps. Set product strategy and lead cross-functional teams to develop AI-native capabilities, experiments, and data-informed improvements.
Responsibilities
- Lead a complex product area, setting its vision, strategy, priorities, and measures of success.
- Translate AI capabilities into product opportunities; assess tradeoffs, risks, and wider effects, and establish evaluation and data practices.
- Develop roadmaps and deliver product goals and milestones with engineering, data science, and other partners.
- Identify investment opportunities, adapt strategy to new evidence, and coordinate priorities and dependencies across teams.
- Design experiments, analyze results, and use research, market analysis, and model evaluations to guide product decisions.
- Use AI tools to prototype, validate, or build products and improve team workflows while maintaining quality and accountability.
- Promote responsible AI practices, experimentation, and effective AI workflows across product teams.
- Mentor product managers and cross-functional colleagues in AI-native practices.
- Communicate product strategy and progress clearly, lead technical discussions, and resolve execution challenges.
Requirements
- At least 8 years of experience in technology, product development, or a related field, including at least 3 years in product management.
- Bachelor’s degree or equivalent; a STEM-related degree is preferred but not essential.
- Experience managing products through the full lifecycle and leading cross-functional teams across a product line.
- Experience developing and scaling AI-native strategies, evaluations, and data strategies across teams.
- Demonstrated proficiency using AI-enabled tools to create product artifacts.
- Ability to integrate diverse user and organizational requirements into a coherent product strategy.
- Experience hiring, leading, and motivating teams and influencing across an organization.
- Strong analytical skills, including experience interpreting large, complex datasets and using evidence to make decisions.
- Clear communication of complex and technical topics to varied audiences.
- Track record of significantly improving product performance and team effectiveness.
Nice to have
- Experience using AI tools to redesign workflows and deliver measurable efficiency or quality improvements.
- Ongoing development of AI skills, including prompt or context engineering and agent orchestration.
- Experience implementing responsible AI practices, including risk assessment, bias mitigation, and quality reviews.
Benefits
- Benefits are offered; details are not specified.