Drive overall sales and technical strategy, including defining a go-to-market plan that considers market segments, customer base, and industry verticals to target.
Compensation
(40 hours / week, 8:00am-5:00pm, Salary Range $149802 - $160000)
Responsibilities
Use analytic tools to establish detailed metrics for tracking purposes
Drive overall sales and technical strategy
Prepare and give regular business reviews to the senior management team
Engage assigned organizations, channels and end customers to create and drive revenue opportunities
Create a strategic partner development plan for target partners and customers
Requirements
Master’s degree in Information Management, Business Administration Analytics, Marketing, or a related field
Bachelor’s degree in Management, Business Administration Analytics, Marketing, or a related field
Tech Ops Engineer III responsible for cost control, change management, and project close‑out in construction and data center environments.
Compensation
(40 hours / week, 8:00am-5:00pm, Salary Range $142813 - $208000)
Responsibilities
Utilizing tools and templates for bid analysis and cost management
Engaging and managing third party Quantity Surveyor vendors
Implementing, maintaining and executing all cost control, change management, progress and performance reporting
Validating change cost impacts
Ensuring vendor invoices are accurate and timely
Requirements
Master's degree or foreign equivalent in Construction Engineering, Construction Management, Quantity Surveying, Engineering (Civil, Mechanical or Electrical)
Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts.
Compensation
Salary Range $143,926/year to $176,300/year.
Responsibilities
Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts
Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling
Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization
Transform complicated business problems into mathematics modeling and provide data-driven solutions
Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS
Requirements
Master’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
Manage team of attorneys providing legal counsel to multi-channel fulfillment business. Negotiate enterprise agreements with multinational consumer products companies and supervise attorneys and contract managers in the same. Partner closely with senior business leaders to develop new products, pricing, and policies for start-up within larger company. Design programs to mitigate legal risks arising from privacy, competition, and transportation domains. Represent team within high-performing corporate legal department.
Compensation
Salary Range $218,275/year to $263,800/year.
Responsibilities
Manage team of attorneys providing legal counsel to multi-channel fulfillment business
Negotiate enterprise agreements with multinational consumer products companies
Supervise attorneys and contract managers
Partner closely with senior business leaders to develop new products, pricing, and policies
Design programs to mitigate legal risks arising from privacy, competition, and transportation domains
Oversee data center power maximization programs and partner with cross-functional teams to design and implement optimization solutions.
Compensation
(40 hours / week, 8:00am-5:00pm, Salary Range $153858 - $201200)
Responsibilities
Oversee various data center power maximization programs
Partner with cross-functional and technical teams to create optimization recommendations, design solutions, and drive project delivery
Partner with electrical and mechanical engineers across engineering and design engineering teams to define and implement space and design configurations that maximize resource utilization
Fully own and manage AWS long range energy forecasts, and partner with customers across Renewable Energy, Infrastructure Energy, Finance, and REC Procurement teams to capture evolving use cases and business requirements
Work with software development and science teams to make enhancements and continuous improvements in energy forecast generation
Requirements
Master’s degree or foreign equivalent degree in Engineering, Computer Science, or a related field
Bachelor’s degree or foreign equivalent degree in Engineering, Computer Science, or a related field
Lead and manage a team responsible for the global expansion portfolio for Disability and Leave Services, directing strategic planning, implementation, and operationalization of leave and disability programs in international markets.
Compensation
(40 hours / week, 8:00am-5:00pm, Salary Range $140504 - $187300)
Responsibilities
Propose creative solutions in HR programs by directing the transformation of HR processes
Lead and manage a team responsible for the global expansion portfolio for Disability and Leave Services
Direct the strategic planning, implementation, and operationalization of leave and disability programs in international markets
Navigate high levels of ambiguity in undefined and emerging markets
Leverage Lean manufacturing principles and Six Sigma methodologies across the team
Requirements
Master's degree or foreign equivalent in Computer Science, Engineering (any field), Business, or a related field
Develop APIs, data pipelines, and integrations with AWS services and internal systems to create end-to-end automation that serves both technical and non-technical customer personas.
Compensation
USA, TX, Austin - 129,200.00 - 174,800.00 USD annually
Responsibilities
Develop APIs, data pipelines, and integrations with AWS services and internal systems to create end-to-end automation that serves both technical and non-technical customer personas
Write well-tested, production-ready code from requirements gathering through implementation, testing, deployment, and operational assistance
Work with product managers, UX designers, and cross-functional engineering teams to deliver cohesive customer experiences and contribute to technical direction
Enable the reliability and performance of production services, participate in on-call rotations, and contribute to operational runbooks and monitoring improvements
Requirements
Bachelor's degree in computer science or equivalent
Lead and supervise Transportation Operations across multiple sites within a defined region, driving process improvements and ensuring safety, quality, and performance.
Compensation
USA, PA, Lewisberry - 91,000.00 - 136,500.00 USD annually
Responsibilities
Lead and supervise a team of Transportation Area Managers
Ensure overall safety, quality and performance of the region
Carry out supervisory responsibilities per company policies
Accountability for meeting and exceeding operational goals
Strategic planning and forecasting; appraise performance; reward and coach employees; resolve problems; address staffing needs
Requirements
Bachelor's degree or equivalent
Bachelor’s or Master’s degree in Engineering, Operations, Supply Chain/Logistics, or related field
Ship Clerks manage daily department duties, plan loads, control trailer utilization, and ensure on‑time dock performance within Amazon’s Middle Mile network.
Compensation
USA, MN, Maple Grove - 26.50 - 28.50 USD hourly
Responsibilities
Plan loads around standard departure times
Control load flow and trailer utilization
Coordinate trailers to dock doors and cross docks using SSP
Senior Data Platform Engineer responsible for owning and evolving the company’s Microsoft Fabric lakehouse and DOMO reporting environment, ensuring data quality, security, and AI readiness.
Responsibilities
Own the Microsoft Fabric platform end-to-end: lakehouses, mirrors, notebooks, and pipelines, plus reliability, monitoring, and capacity cost.
Administer DOMO and move reporting onto curated Fabric tables, so each metric has one definition.
Model, organize and document data for AI agents in Azure AI Foundry: curated datasets, field descriptions, data contracts, retrieval-ready data.
Build and maintain connectors (mainly MCP servers and APIs) that agents and external platforms use to reach internal data, with tool schemas, permission scopes and logging.
Assess the current setup and propose architecture and tooling changes, including costs and trade-offs, then move the approved ones to production.
Requirements
BA/BS in Computer Science, Information Systems or related, or equivalent experience
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)
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)
Tech Business Developer IINewAmazon · Seattle, US