JobgetherRemote · Switzerland
AmazonPosted 1d ago
Sr Product Manager-Technical, SCOT Forecasting & Labs
Sr Product Manager-Technical, SCOT Forecasting & Labs at Amazon scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.
AI in this role
Define the vision and drive products for state-of-the-art deep learning and foundation model supply chain forecasting systems.
We address these questions through state-of-the-art machine learning systems that generate hundreds of millions of fine-grained predictions. These forecasts are automatically consumed by systems that order, store, and route inventory — ensuring customers find the products they want, when they need them, and delivered faster than ever. Our work spans the full lifecycle: from foundational research and large-scale experimentation to production deployment and downstream impact measurement.
We need your skills to help us push the boundaries of what's possible. Amazon's SCOT Forecasting team is looking for a Sr. Product Manager-Tech with a proven ability to influence across multiple organizations and drive innovation at scale. In this role, you will define and drive the long-term vision for both established and greenfield forecasting products within an ever-evolving supply chain landscape. You will partner closely with scientists and engineers to build interfaces for state-of-the-art deep learning-based systems that generate the predictions and estimates required to optimize Amazon's supply chain at scale. This role offers a unique opportunity to learn how we bring advanced science — including Deep Learning, Foundation Models, and Large Language Models — out of the lab and into production systems that serve Amazon's worldwide supply chain. And we're focused on doing it faster than ever
Key job responsibilities
Specifically, as a Sr PM-T in forecasting, you will be responsible for:
- Working backwards from customer problems to define the 3-5 year vision for Forecasting products, and working with scientists and engineering to achieve that vision
- Driving strategic communications (e.g. decision narratives, investment proposals)
- Communicating, earning trust, and influencing stakeholders from multiple organizations
- Working backwards from customers in the supply chain and business units to proactively identify opportunities
- Experimenting and scaling new products and models from prototype to production worldwide
- Diving into technical solutions and alternatives to understand areas of opportunity, defects, and customer needs
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Basic qualifications
- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Preferred qualifications
- Experience performing statistical analysis of data using SQL, Excel and other tools
- Experience in building and driving adoption of new tools
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 166,300.00 - 225,000.00 USD annually
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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where supply chain was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Product Management, Deep Learning, and Supply Chain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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