- Company Name
- Netflix
- Job Title
- Product Manager, Forecasting (Ads)
- Job Description
-
Job Title: Product Manager, Forecasting (Ads)
Role Summary: Own end‑to‑end design, development, and launch of Netflix’s inventory and delivery forecasting platform. Deliver modular supply‑demand forecasting, performance simulation, and ad‑serving infrastructure to enable campaign planning, guaranteed delivery, pricing, and analytics for the ad‑supported tier.
Expectations:
- 10+ years in product management with engineering/analytics experience.
- Proven track record launching and scaling large‑scale platforms.
- Deep knowledge of ad tech (CTV, DSP/SSP, targeting, ad‑serving, media planning).
- Experience building forecasting systems and working with ML models and simulations.
- Ability to translate business needs into prioritized roadmaps and measurable outcomes.
- Strong communication across technical, sales, design, and executive stakeholders.
- Familiarity with global ad‑regulation and data‑privacy compliance.
Key Responsibilities:
1. Design and build modular supply‑demand forecasting engines for campaign planning and pricing.
2. Develop performance forecast models for advertiser campaign assessment.
3. Create ad‑serving simulation infrastructure for analytics, pricing, and model training.
4. Solve cold‑start forecasting challenges via data‑driven modeling.
5. Balance accuracy, feature delivery, and velocity to maximize business value.
6. Translate business requirements into actionable product roadmaps and iterative releases.
7. Partner with engineering, design, operations, and sales to embed continuous feedback loops.
8. Define, track, and communicate success metrics; use data and feedback for continuous improvement.
9. Evangelize product vision and strategy organization‑wide; foster open communication and healthy debate.
10. Navigate ambiguity, structure priorities, and drive clarity for evolving product objectives.
Required Skills:
- Product management (roadmapping, go‑to‑market, KPI definition).
- Engineering fluency: high‑scale, low‑latency distributed systems, data pipelines, simulation frameworks.
- Analytics & machine‑learning: forecasting algorithms, model training, performance metrics.
- Ad‑tech domain: CTV, DSP/SSP, targeting, ad‑serving, media planning.
- Strategic thinking, prioritization, and data‑driven decision making.
- Excellent written and verbal communication; stakeholder engagement.
- Knowledge of legal compliance and global advertising regulations.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, Business, Economics, or related field (or equivalent experience).
- Advanced certifications (e.g., PMP, Product Management certifications) preferred but not mandatory.