Key job responsibilities
- Support day-to-day execution for a subset of North America AMZL sites and take ownership to quickly remove constraints and barriers
- Develop 24-hour operations clocks which optimize the use of time while balancing competing objectives
- Influence building design decisions through high-judgment evaluation of constraints
- Drive capacity alignment between capacity planning tools and other tools & systems
- Write effective documents for diverse audiences, including senior leaders
- Serve as an ambassador for the Capacity Engineering team, helping others understand our space and identifying opportunities for collaboration
- Actively drive progress across multiple efforts in parallel, independently managing priorities and relationships with other teams to effectively deliver results
A day in the life
An effective Operations Engineer will structure their time to include
- meeting with internal customers to understand their needs and timelines for deliverables
- building a framework/model to structure the knowns and unknowns of a problem/question
- reaching out across the organization for documentation, data, or insight
- meeting with their manager/team to share useful information or get feedback/guidance
- writing narratives to present progress, propose a change, recommend a decision, or ask for leadership support
- leading meetings with stakeholders and documenting follow-up actions, owners, and dates
About the team
The Capacity Engineering team is a key contributor to efforts across AMZL which may impact the last mile network's capacity or utilization; this means we work cross-functionally to bring clarity to ambiguous situations and influence strategic decisions.
Our mission is to ensure AMZL scales to the right capacity in the right place at the right time, and that we are continuously innovating to improve speed for customers and reduce costs to deliver. We are advocates for data-driven models of the real world, but seek frequent feedback (anecdotes and measurements) to better predict the ground truth.
BASIC QUALIFICATIONS
Experience using data to develop models and make decisions
PREFERRED QUALIFICATIONS
- Proficient in MS Excel
- Effective at communicating with leadership
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $54,600/year in our lowest geographic market up to $93,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.