Artificial Intelligence Team Manager, Global Ops

Amazon is a multi-national technology company and being proficient in English is a required qualification. CVs must be submitted in English as our recruitment team works in several jurisdictions.
- 2+ years of experience as Team Manager/Lead in corporate environments, managing teams of a minimum of 12 individuals.
- 1+ years of experience in internal and external stakeholder management.
- Working experience managing teams virtually/remotely.
- Advanced MS Excel expertise.
- C1 English proficiency (advanced).

Job summary

This is a position based in Costa Rica and does not offer relocation benefits. Job applicants must be located and legally authorized to work in Costa Rica in order to be eligible for consideration.

Amazon Global Ops Artificial Intelligence (GO AI) is a team that remotely handles stowing activities in the Fulfillment Centers globally. Our strategy is to employ a human-as-sensor model and allow humans to perform just those portions of a task that require higher order cognitive ability.

When a product is placed into a particular location, this activity is recorded and is sent to the AVOC team for verification. GO AI associates would watch this video and verify /mark the location of product through a tool. This process helps in maintaining the stow quality at the fulfillment center.

Amazon Global Ops Artificial Intelligence (GO AI) Team Manager

As a front line Manager of 20-25 associates, the Manager will provide coaching, guidance, and mentorship to drive achievement of individual and team performance goals. Other responsibilities include interviewing, performance management and employee engagement.

Key job responsibilities

Job Description Responsibilities include, but are not limited to:

- Lead, develop and motivate a team of 20-25 associates through 1:1s, behavioral and customer‑handling coaching and individual development plans; develop talent and manage team performance in order to meet and exceed customer satisfaction goals.
- Implements performance goals, monitors and evaluates against pre-set goals implementing action plans to resolve performance barriers as needed.
- Reviews and analyzes performance metrics to identify areas of opportunity that will drive performance improvement.
- Ensure productivity is maximized through supervision, training, analysis, and feedback of performance data on a periodic basis.
- File and track tickets, following up on blocks to productivity
- Provide regular, formal & informal feedback to up to 40 data associates (direct reports).
- Identify and help implement process-related improvement using methodologies such as Kaizen, six sigma, or lean.
- Liaise with Program Management and other global operations team leads to manage risks & propose mitigation strategies.
- Manages schedules, monitors adherence, time-off planning, and attendance in partnership with Workforce Management.
- Represent the Voice of the Customer / associate during Gemba walks, participate in Kaizen events and other continuous improvement initiatives in order to escalate systemic problems.
- Maintains a positive and professional demeanor always portraying the company in a positive light and effectively managing sensitive issues.
- Demonstrates excellent time-management skills and the ability to work independently while using departmental resources, policies and procedures.
- Demonstrates strong interest in hiring and developing people in their respective roles.

Prior applying, please consider the following:

- This is not a virtual position. Due to the current situation caused by COVID-19, if selected for this role, all necessary equipment will be sent for you to work from home. However, once our company provides clearance, you will be required to continue working from our SJO19 building, located in the America Free Zone (AFZ), Cariari, Heredia.
- Our production schedules for front-line Team Managers are assigned based on business needs and organizational demands to meet global standards. Night and “graveyard” shifts are not available at this time. In addition, if selected for this role, you will be required to work at least one weekend day and/or holidays. This job requires schedule flexibility which includes but not limited to working weekends and/or holidays.

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.
- Bachelor's degree completed in any field.
- Experience with data mining tools such as: SQL, SAS, SPSS, R.
- Lean Six Sigma Yellow/Green belt.
- PMP certified.