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Netflix

Market Planning & Operations Manager (UCAN) - Commercial Planning & Insights

Posted 14 Days Ago
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In-Office
New York, NY, USA
220K-350K Annually
Senior level
In-Office
New York, NY, USA
220K-350K Annually
Senior level
Lead UCAN sales reporting, revenue analytics, forecasting, and predictive modeling. Build scalable dashboards and insights, partner cross-functionally (Sales, Product, Data) to optimize revenue, pipeline, segmentation, and sales strategy, and communicate findings to senior stakeholders.
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At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

About the Role
We are seeking a highly analytical and strategic thinker to join our US and Canada (“UCAN”) Market Planning & Operations (MP&O) team. The role’s primary goal will be to create, deliver and scale business performance reporting and insights for the UCAN Netflix Ads team, and be the first point of contact for the market for all Sales Reporting needs. This means being directly involved with data tools and tables, to derive Sales Reporting while partnering with Market Activation, Product and Data Science & Engineering to scale long term reporting solutions. This is an exciting opportunity to create new and impactful ways to measure the business and create insights for our UCAN Sales Leadership, so that we achieve our ambitious business objectives.

Key Responsibilities

  • Revenue Analysis: Lead the development of comprehensive revenue analytics, focusing on key performance indicators (KPIs) to track progress against goals and identify revenue growth opportunities.

  • Insights & Reporting: Accountable to deliver reporting for UCAN leadership, develop scalable reporting for the broader UCAN organization, manage a cadence through which insights and updates can be communicated. This will be used to enable more informed decisions related to Sales Strategy, in-quarter Sales execution and activity, Pipeline Management, and Market Expansion.

  • Predictive Modelling:  Develop accurate and insightful predictions which help Sales Operations to forecast the business and make informed decisions during business planning.

  • Data Visualization & Storytelling: Build intuitive reporting to present findings in a clear, compelling way to stakeholders at all levels

  • Cross-Functional Collaboration: Partner with Sales, Account Management, Measurement, Sales Solutions, Market Activation and other cross-functional teams to analyze customer behavior, Sales pipeline performance, channel performance, and market trends to drive Sales activity and Leadership decision making

  • Revenue Optimization: Architect models to identify opportunities to enhance product mix, and customer segmentation to maximize revenue with the broader Sales Operations team, and work with Market Activation, Product and Data Science & Engineering to implement for broad Sales teams to use directly

Qualifications:

  • 8+ years of experience in revenue operations, business analytics, or sales operations in a high-growth or media/technology company.

  • Experience with AI tooling (e.g. Claude), including custom skill development, workflow design, AI-assisted dashboarding, and prompt engineering. 

  • Strong analytical skills with expertise in tools like Excel. Expertise with SQL,  Python a nice to have

  • Exceptional communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical, senior audiences.

  • Demonstrable experience in revenue forecasting and predictive modelling, pipeline management, and account segmentation.

  • A strategic mindset with the ability to think big-picture while diving into granular details.

  • Familiarity with CRM systems (e.g., Salesforce) and sales performance metrics.

  • Exceptional analytical skills with a focus on data-driven decision-making, process improvement, and operational support.

  • Excellent project management abilities, skilled at managing multiple workflows and deadlines in a fast-paced environment.


Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $220,000.00 - $350,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Netflix New York, New York, USA Office

245 W 17th St, New York, NY, United States, 10011

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