SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. The organization is small, highly motivated, and focused on engineering excellence, with a flat structure that encourages initiative and direct contribution to the company’s mission. We are seeking a strategic and experienced Lead of Yield Management to oversee yield strategy and optimization for the X advertising platform, driving the vision, frameworks, and execution that maximize advertising inventory utilization and long-term revenue performance at scale.
Director, Yield Management en xAI
Presencial - New York, New York, United States
Más vacantes en xAISalary
R$ 228,000 - 342,000
Requirements
Skills
- 15+ years of progressive experience in yield management, revenue optimization, advertising operations, or monetization strategy, preferably in large-scale social media, digital advertising, or programmatic platforms.
- Proven track record of building and scaling yield frameworks that have driven significant revenue impact.
- Strong analytical and quantitative skills with deep experience in inventory forecasting, pricing strategies, and KPI optimization.
- Excellent cross-functional collaboration skills, particularly with engineering, sales, and product teams.
- Thrives in a fast-paced, dynamic environment and can manage multiple priorities with tight deadlines.
- Collaborative mindset with a proactive approach to problem-solving and cross-functional partnership.
Responsibilities
- Lead the creation and continuous refinement of yield management frameworks and predictive models to optimize SpaceXAI’s advertising inventory utilization and long-term revenue performance.
- Define, monitor, and report on core yield KPIs, including ad capacity, fill rate, ad load, served impressions, revenue, and CPM performance across all major placements (Home Timeline, Profiles, Search, Replies, etc.).
- Analyze and map advertising inventory supply against key audience and user dimensions, including age, gender, geography, OS, and other relevant segments to identify optimization opportunities.
- Optimize inventory allocation across direct sales, self-serve, DSPs, and all advertising products to balance supply, control pricing dynamics, and maximize advertiser campaign outcomes.
- Partner with Ads Engineering to design and implement scalable processes for real-time inventory optimization, including ad load management, CPM floor strategies, and other critical controls.
- Collaborate on sales strategy development, providing data-driven insights on inventory health, pricing guidance, and revenue growth opportunities.
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