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Sr. Technical Program Manager, Kuiper Manufacturing Data System
Amazon.comUnited Statesfull_timeVerifiedPosted 4 Apr 2023
💰 $235,200/yr($119,000/yr – $235,200/yr)
About the role
As a Sr TMP will help solve a variety of technical challenges related to manufacturing the fleet of satellites, ground equipment and associated ASICs as well as mentor other scientists and engineers.
Given that this is an early-stage initiative, play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team.
See challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams across Amazon. Be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, haven’t ever been solved at scale before!
Entrepreneurial, wear many hats and work in a highly collaborative environment; that is more startup than big company. See problems that span a variety of domains: big data, industrial automation, software, hardware, networks, real-time and distributed systems.
If you are passionate about working on cutting edge big data technologies to build best-in-class tools and large-scale distributed systems to enable big data processing and analytics in the cloud, if you are proficient in working with an experienced cross-disciplinary team to define, build and deploy solutions and products enabling manufacturing, this is the role for you.
Key job responsibilities
In this role, you will interact with manufacturing engineers, product designers and test engineers to develop manufacturing systems that are highly available, secure, scalable, distributed and event-driven to support a wide spectrum of use cases.
-Create define the system requirements and architecture as well as impact the service roadmap in a meaningful way. Make design decisions, think about tradeoffs and propose technical solutions.
-Establish and follow the best engineering practices and drive improvements in design, development and operations. Mentor and guide junior engineers on the design, development, troubleshooting and operational excellence.
-Design solutions to create a frictionless experience in consuming manufacturing data, enabling an easy way to author queries, graphs and reports
-Build a manufacturing data pipeline system
-Take ownership in maintaining the operational bar, including data security and quality
-Learn and educate others how to extract facts about manufacturing from the data we own
-Mentor and guide junior engineers on design, development, troubleshooting and operational excellence
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the team
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious and earn trust. At Amazon, our mission is to be the most customer-centric company on Earth. To get there, we need exceptionally talented, bright and driven people.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Given that this is an early-stage initiative, play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team.
See challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams across Amazon. Be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, haven’t ever been solved at scale before!
Entrepreneurial, wear many hats and work in a highly collaborative environment; that is more startup than big company. See problems that span a variety of domains: big data, industrial automation, software, hardware, networks, real-time and distributed systems.
If you are passionate about working on cutting edge big data technologies to build best-in-class tools and large-scale distributed systems to enable big data processing and analytics in the cloud, if you are proficient in working with an experienced cross-disciplinary team to define, build and deploy solutions and products enabling manufacturing, this is the role for you.
Key job responsibilities
In this role, you will interact with manufacturing engineers, product designers and test engineers to develop manufacturing systems that are highly available, secure, scalable, distributed and event-driven to support a wide spectrum of use cases.
-Create define the system requirements and architecture as well as impact the service roadmap in a meaningful way. Make design decisions, think about tradeoffs and propose technical solutions.
-Establish and follow the best engineering practices and drive improvements in design, development and operations. Mentor and guide junior engineers on the design, development, troubleshooting and operational excellence.
-Design solutions to create a frictionless experience in consuming manufacturing data, enabling an easy way to author queries, graphs and reports
-Build a manufacturing data pipeline system
-Take ownership in maintaining the operational bar, including data security and quality
-Learn and educate others how to extract facts about manufacturing from the data we own
-Mentor and guide junior engineers on design, development, troubleshooting and operational excellence
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the team
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious and earn trust. At Amazon, our mission is to be the most customer-centric company on Earth. To get there, we need exceptionally talented, bright and driven people.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Basic Qualifications
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
Preferred Qualifications
- • Be comfortable with ambiguity and curious to learn new skills • Passionate about technical leadership and mentoring • Curious to learn in depth about bot
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