Senior Manager, Applied Science, Reading Experience
Senior Manager, Applied Science, Reading Experience

Senior Manager, Applied Science, Reading Experience

Full-Time 54000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team to innovate and enhance the Kindle reading experience using AI.
  • Company: Join Amazon, a global leader in technology and innovation.
  • Benefits: Enjoy a diverse workplace, flexible work options, and opportunities for growth.
  • Why this job: Be at the forefront of AI advancements while shaping the future of reading.
  • Qualifications: MS/PhD in relevant fields with 10+ years of AI experience required.
  • Other info: Inclusive culture that values diversity and supports all employees.

The predicted salary is between 54000 - 84000 £ per year.

Senior Manager, Applied Science, Reading Experience

Are you interested in improving the Digital Reading Experience? We are from the Kindle Books Team looking for a Senior Manager in Applied Science who will be managing the Applied Scientists and ML Engineering Team. The team is looking to take the reading experience in Kindle to the next level with a set of innovations!

We are building a holistic team focused on leveraging advances in AI to improve the reading experience for Kindle customers. This role is specifically for a Senior Manager, Applied Science who will focus on grooming the team, working with other science teams, influencing the product strategy & team vision, and bringing state-of-the-art innovations for improving the reading experience. The Senior Manager will also be managing the Analytics, Data insights, experimentation, and ML Operations influencing all the key spaces aiding in Science deliverables.

Key job responsibilities

  1. You independently manage Science & Engineering teams. You are able to hire, develop, and promote scientists, engineers, and other data-intensive job families (Data Engineers, Business Intelligence Engineers, Business Analysts).
  2. You define the strategic vision, a long-term roadmap, establish the right scientific team structure, and lead your team(s) as they deliver high-quality, maintainable analysis, research, and potentially production-level models that execute on that vision.
  3. Your team is structured to successfully and sustainably meet scientific, business, and technology needs. You leverage talent as needed and make the appropriate people trade-offs to meet incoming demands. Your strategic plans include how your teams will scale or need to change to accommodate business needs.
  4. You will be responsible for various aspects of the Science teams like Analytics, Business Intelligence, MLOps, ML Engineering, Data Science, and Applied Science. You keep yourself up-to-date with the recent advances, thereby guiding the team with the right decisions.
  5. You work effectively with technical and business leaders. You are able to influence other team roadmaps, reach consensus on approach/prioritization, and deliver scientific artifacts and/or products successfully. You serve as the organization’s voice on all matters of data analytics and scientific modeling.
  6. You identify large risks, endemic problems, areas of opportunity/customer value and when needed, are able to influence other teams to collaborate with your team to build solutions.
  7. You champion scientific, engineering, and operational excellence best practices within your team and influence other teams in your organization. You bring in an innovation culture within your team and encourage them for next experiments and innovations.

A day in the life

You will be responsible for working with product teams to bring in the long-term vision for this charter. You define the project plans & deliverables and unblock the team to consistently deliver. You work with multiple disciplines for effective delivery. You look at options for collaboration and work with other leaders both from Domain expertise and from Science expertise.

About the team

The vision for the Reading Experience Science & Algorithms team is to enable delightful reading experiences; scale to applicable content and thereby making Kindle the best place to read with the assistance of Science and AI capabilities.

BASIC QUALIFICATIONS

  1. MS/PhD degree in Computer Vision, Machine Learning, or related areas.
  2. Proven track record of shipping AI products.
  3. 10+ years of working experience in related AI areas.
  4. 5+ years of managing experience of scientists.
  5. Excellent business writing, verbal communication, and cross-discipline collaboration skills.

PREFERRED QUALIFICATIONS

  1. Experience managing software development engineers/ML engineers.
  2. Worked with product teams for building vision/strategy for a space.
  3. 2+ years of hands-on experience as a Senior Scientist.

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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.

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Senior Manager, Applied Science, Reading Experience employer: Amazon

At Amazon, we pride ourselves on fostering an innovative and inclusive work culture that empowers our employees to excel in their roles. As a Senior Manager in Applied Science, you will have the opportunity to lead a talented team dedicated to enhancing the Kindle reading experience through cutting-edge AI advancements. With a strong focus on professional growth, collaboration, and a commitment to diversity, Amazon offers a dynamic environment where your contributions can make a significant impact.
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Contact Detail:

Amazon Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Manager, Applied Science, Reading Experience

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and machine learning, particularly those that enhance reading experiences. This knowledge will not only help you understand the role better but also allow you to engage in meaningful discussions during interviews.

✨Tip Number 2

Network with professionals in the field of applied science and AI. Attend relevant conferences or webinars where you can meet potential colleagues or mentors who can provide insights into the company culture and expectations for the role.

✨Tip Number 3

Prepare to discuss your leadership style and how you've successfully managed teams in the past. Be ready to share specific examples of how you've influenced product strategy and fostered innovation within your teams.

✨Tip Number 4

Research the Kindle Books Team and their recent projects or innovations. Understanding their current challenges and goals will enable you to tailor your conversations and demonstrate how your experience aligns with their vision.

We think you need these skills to ace Senior Manager, Applied Science, Reading Experience

Leadership Skills
Machine Learning Expertise
Data Analytics
Project Management
Cross-Discipline Collaboration
Strategic Vision Development
Team Development and Mentorship
Communication Skills
Problem-Solving Skills
AI Product Development
Technical Aptitude in Computer Vision
Experience with MLOps
Business Intelligence
Innovation and Experimentation Culture

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in applied science, machine learning, and team management. Use specific examples that demonstrate your ability to lead teams and deliver AI products.

Craft a Compelling Cover Letter: In your cover letter, express your passion for improving the digital reading experience. Discuss how your background aligns with the role and mention any innovative projects you've led that relate to AI and reading technologies.

Showcase Leadership Skills: Emphasise your experience in managing scientists and engineers. Provide examples of how you've developed teams, influenced product strategies, and fostered an innovation culture in previous roles.

Highlight Collaboration Experience: Detail your experience working with cross-functional teams. Mention specific instances where you collaborated with product teams or other scientific disciplines to achieve project goals.

How to prepare for a job interview at Amazon

✨Showcase Your Leadership Skills

As a Senior Manager, you'll be expected to lead and develop your team. Be prepared to discuss your previous management experiences, how you've nurtured talent, and the strategies you've employed to build effective teams.

✨Demonstrate Your Technical Expertise

With a focus on AI and machine learning, it's crucial to highlight your technical background. Be ready to discuss specific projects where you've successfully implemented AI solutions and how they improved user experiences.

✨Align with the Company Vision

Understand the company's goals for the Kindle reading experience. Prepare to articulate how your vision aligns with theirs and how you can contribute to their mission of enhancing digital reading through innovation.

✨Prepare for Cross-Disciplinary Collaboration

This role requires working with various teams. Be ready to provide examples of how you've effectively collaborated across disciplines in the past, and how you plan to foster collaboration in this new role.

Senior Manager, Applied Science, Reading Experience
Amazon

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  • Senior Manager, Applied Science, Reading Experience

    Full-Time
    54000 - 84000 £ / year (est.)

    Application deadline: 2027-08-28

  • A

    Amazon

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