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Principal Product Manager
2 months ago
Job ID: 2661691 | Amazon.com Services LLC
We seek a dynamic and experienced Principal Product Manager (L7) to lead our efforts in delivering an advanced portfolio of products focused on predictive modeling, forecasting, and causal inference. This position plays a crucial role in shaping the future of our hiring and labor planning products by providing Amazon leaders with reliable forecasts, predictions, and causal inferences to make informed decisions and labor plans. The ideal candidate will have a strong background in product management and data science, with expertise in predictive analytics, time series forecasting, and causal inference methodologies.
Key job responsibilitiesYou will collaborate with Economists, Applied Scientists, Engineers, and business line customers across the company to define product vision. You will make choices on feature selection, science, engineering, and evaluation while judging various inference techniques. You are driven by data and collect metrics for model evaluation, performance, adoption, coverage, and quantifying impact. You will discover potential in business domains to utilize emerging technologies like GenAI and the latest scholarly research. You will write Vision docs, PRFAQs, and 3YP documents to gain sponsorship from the leadership team for execution. You will manage stakeholders and engineers to align everyone on the common goal and deliver your product vision. You will drive adoption and quantify the impact of the products.
A day in the lifeYou will:
- Think Big to define and drive the product vision for Predictive Models that can be leveraged in the Hiring and Labor Planning domains.
- Influence cross-functional teams, including economists, applied scientists, engineers, and designers to develop cutting-edge products in predictive modeling, time series forecasting, and causal inference.
- Define feature selection and evaluation to improve model accuracy and performance.
- Use your knowledge in advanced statistical techniques, machine learning models, and causal inference methods to inform product decisions and improvements.
- Dive deep and partner with engineering and science team members and partner teams to write detailed business and technical requirements.
- Deliver 3YP, Vision, PRFAQs, and BRD docs.
- Own end-to-end product lifecycle.
- Create quick and strong stakeholder relationships.
- Influence priorities and business strategy through quantitative and qualitative contributions.
- Drive adoption of the products and measure impact.
- Improve products and programs through direct interaction with stakeholders and users.
- Continuously absorb and share knowledge about the latest product and scientific developments relevant to the ML/AI space.
- Mentor and support other team members.
The PXT Central Science Team uses economics, behavioral science, statistics, and machine learning to develop process improvements and products that simultaneously improve Amazon and the lives, well-being, and value of work of Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.
We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA; Austin, TX, USA.
BASIC QUALIFICATIONS- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience in technical product management
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Posted: September 4, 2024 (Updated about 1 hour ago)
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