Amazon Web Services (AWS)
Sr Operations Manager, AGI-DS, AGI DS
Amazon Web Services (AWS), Boston, Massachusetts, us, 02298
AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human‑technology interaction with us.
We are looking for candidates who don’t just think outside the box, but expand it. The future is now – do you want to be a part of it?
The Amazon Artificial General Intelligence (AGI) team is seeking an experienced Team Manager to join our operations and develop, manage, and support a team focused on speech and language solutions.
Key Job Responsibilities
Collaborate with internal partners to build input‑focused operating plans for the achievement of key measures.
Create a culture where accountability, transparency, and collaboration are the norm and where rapid deep dives into root causes of defects are a standard operating practice.
Develop, implement, or change processes as necessary to allow the team to scale at an accelerated pace, while managing cost and without impacting customer experience.
Implement bar‑raising programs aimed at hiring and developing top talent and build a career‑development road‑map for site operations teams.
Inspire front‑line teams to go beyond the standard “call of duty” to find creative solutions for product issues; encourage risk‑taking and advocacy on behalf of product teams.
Create closed‑loop feedback processes where associates are encouraged to actively identify opportunities for improvements to customer experience, workplace conditions, and internal tools.
Work with finance & operations leadership to develop, support, and manage the annual expense budget and build collaborative relationships with partner organizations.
Responsible for creating a coaching culture across the site where formal and informal coaching opportunities are available.
Foster a work environment that respects and is responsive to the needs of a diverse staff.
Achieve site‑wide improvements in Operations, Quality, Productivity, Cost, Customer experience, and People metrics.
Build partnerships with internal and external teams to collaborate and drive measurable improvements in areas that cause customer pain and associate frustration.
Improve the experience of associates and managers as measured by improvements in attrition and employee engagement surveys.
Work with Operations Engineering leadership & Engineering managers to articulate feature requirements for associate tool sets, user interfaces, and business logic for efficient handling of work volumes.
About the Team Amazon strives to be the world’s most customer‑centric company, where customers can research and purchase anything they might want online or offline. The AGI organization provides speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost‑effective, and high‑quality data labeling services to our customers, enabling them to build advanced ML models.
Basic Qualifications
Bachelor’s degree in Engineering, Science, Supply Chain, or Operations related fields.
Experience in leading large teams to high levels of performance.
Experience as a project owner / sponsor for strategic step‑change initiatives and enabling innovative thinking in project teams.
Experience in developing future leaders and creating tailored succession plans.
Preferred Qualifications
Master’s degree or MBA.
Familiarity with machine learning.
Ability to adapt well to fast‑paced environments with changing circumstances, direction, and strategy.
Demonstrated ability to lead diverse talent within a team, work cross‑functionally, and build consensus on difficult issues.
Lean Six Sigma Black Belt certification.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $77,600/year in our lowest geographic market up to $166,000/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.
Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology, Consulting, and Engineering
Industries IT Services and IT Consulting
#J-18808-Ljbffr
We are looking for candidates who don’t just think outside the box, but expand it. The future is now – do you want to be a part of it?
The Amazon Artificial General Intelligence (AGI) team is seeking an experienced Team Manager to join our operations and develop, manage, and support a team focused on speech and language solutions.
Key Job Responsibilities
Collaborate with internal partners to build input‑focused operating plans for the achievement of key measures.
Create a culture where accountability, transparency, and collaboration are the norm and where rapid deep dives into root causes of defects are a standard operating practice.
Develop, implement, or change processes as necessary to allow the team to scale at an accelerated pace, while managing cost and without impacting customer experience.
Implement bar‑raising programs aimed at hiring and developing top talent and build a career‑development road‑map for site operations teams.
Inspire front‑line teams to go beyond the standard “call of duty” to find creative solutions for product issues; encourage risk‑taking and advocacy on behalf of product teams.
Create closed‑loop feedback processes where associates are encouraged to actively identify opportunities for improvements to customer experience, workplace conditions, and internal tools.
Work with finance & operations leadership to develop, support, and manage the annual expense budget and build collaborative relationships with partner organizations.
Responsible for creating a coaching culture across the site where formal and informal coaching opportunities are available.
Foster a work environment that respects and is responsive to the needs of a diverse staff.
Achieve site‑wide improvements in Operations, Quality, Productivity, Cost, Customer experience, and People metrics.
Build partnerships with internal and external teams to collaborate and drive measurable improvements in areas that cause customer pain and associate frustration.
Improve the experience of associates and managers as measured by improvements in attrition and employee engagement surveys.
Work with Operations Engineering leadership & Engineering managers to articulate feature requirements for associate tool sets, user interfaces, and business logic for efficient handling of work volumes.
About the Team Amazon strives to be the world’s most customer‑centric company, where customers can research and purchase anything they might want online or offline. The AGI organization provides speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost‑effective, and high‑quality data labeling services to our customers, enabling them to build advanced ML models.
Basic Qualifications
Bachelor’s degree in Engineering, Science, Supply Chain, or Operations related fields.
Experience in leading large teams to high levels of performance.
Experience as a project owner / sponsor for strategic step‑change initiatives and enabling innovative thinking in project teams.
Experience in developing future leaders and creating tailored succession plans.
Preferred Qualifications
Master’s degree or MBA.
Familiarity with machine learning.
Ability to adapt well to fast‑paced environments with changing circumstances, direction, and strategy.
Demonstrated ability to lead diverse talent within a team, work cross‑functionally, and build consensus on difficult issues.
Lean Six Sigma Black Belt certification.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $77,600/year in our lowest geographic market up to $166,000/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.
Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology, Consulting, and Engineering
Industries IT Services and IT Consulting
#J-18808-Ljbffr