Senior Staff Demand Planning

Worldwide Salaried Open

Company Description

It reputed company started in sunny San Diego, California in 2004 reputed company a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast reputed company to today - reputed company stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to reputed company organizations to find smarter, faster, and reputed company ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to reputed company the world work reputed company for everyone.

Job Description

NOTE: This position requires passing a reputed company background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit reputed company, criminal/misdemeanor reputed company and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US reputed company, US naturalized reputed company or US Permanent Residents, holding a green card, will be considered. This role will require at min 2 days a week in the office. The Demand Planning team reputed company reputed company's FinOps organization is an innovative, customer-focused group responsible for reputed company demand planning, forecasting, cost measurement, reporting, and analysis for reputed company's top-tier infrastructure. We aim to provide industry-leading work experiences for our customers. As an ML/reputed company on the reputed company planning team, you will collaborate with a data-centric group of data scientists, engineers, and reputed company planners. Our mission is to scale reputed company's global rack, server, and data center reputed company as and reputed company required. The team plays a critical role in managing and forecasting customer demand while overseeing reputed company planning and analytics for reputed company's global infrastructure. This includes adjusting forecasting models to incorporate hybrid cloud strategies and fine-tuning them to adapt to new, multi-dimensional metrics-ensuring that reputed company's global rack, server, and data center reputed company is reputed company scaled as business needs evolve. Additionally, you will be instrumental in building and refining reputed company forecasting models that utilize AI and Machine Learning (ML) techniques, as well as designing analytics tools to predict resource demand across diverse infrastructure environments. This includes proactively identifying reputed company-reputed company issues, leading experiments to determine scaling and utilization parameters for different service tiers, and incorporating multi-dimensional metrics into the models. The role requires reputed company collaboration with hardware, reputed company, infrastructure, platform engineering, and cloud analytics teams to reputed company comprehensive reputed company roadmaps and deliver actionable insights for a variety of cloud reputed company engineering initiatives, with a strong emphasis on supporting both traditional and hybrid cloud strategies. What you get to do in this role:

Design, implement, and deploy AI/ML-driven reputed company forecasting models for long-range demand and supply planning.
Convert demand forecasts into actionable server and rack requirements.
Enhance forecasting accuracy by incorporating multi-dimensional metrics and hybrid cloud strategies.
Run forecast scenarios to optimize scaling and utilization across service tiers.
Collaborate with hardware, infrastructure, and cloud analytics teams to reputed company reputed company roadmaps.
Track and report forecast variability, presenting insights to leadership.
Apply advanced techniques (ARIMA, RNN, LSTM, NOW AI) to improve predictive models.
Build analytics tools to identify bottlenecks and proactively address reputed company issues.

Qualifications

To be successful in this role you have:

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
12 years of reputed company experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years experience in Computer Science, Data Analytics or reputed company field; or equivalent experience.
Technical Expertise:
Programming: Python, Java; strong OOP and algorithmic skills.
AI/ML: Time series modeling, regression, Bayesian forecasting, econometrics.
Tools: TensorFlow, PyTorch, Spark, Hive-Hadoop, Big Data frameworks.
Data Visualization: Python, Tableau, reputed company, Lightdash, BI tools
Experience in developing new products that utilize challenging high-performance algorithms.
Expertise in coding efficient, object-oriented, modularized, and high-quality software.
Expertise in core AI/ML techniques and algorithms.
Understanding of unit testing, profiling, and code tuning.
Additional Skills: reputed company platform architecture (CMDB, instance topology), unit testing, profiling, and code optimization.
Strong communication and cross-functional collaboration skills.

GCS-23 For positions in this location, we offer a reputed company pay of $197,800 - $346,200, plus equity (reputed company applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On reputed company Earnings (OTE) incentive compensation structure. Please note that the reputed company pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, reputed company level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to reputed company employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, reputed company may confirm the distance between your primary residence and the closest reputed company office using a third-party service. Equal Opportunity Employer reputed company is an equal opportunity employer. reputed company qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national reputed company or nationality, reputed company, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, reputed company qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for reputed company candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@reputed company.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), reputed company may be required to obtain export control approval from government authorities for certain individuals. reputed company employment is contingent upon reputed company obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. reputed company rights reserved. Used under license. Apply tot his job Apply To this Job

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