📌 Core Information
🔹 Job Title: Senior Applied Science Manager, Automated Marketing and Experiences
🔹 Company: Amazon
🔹 Location: Seattle, Washington, United States
🔹 Job Type: On-site
🔹 Category: Software Development
🔹 Date Posted: April 21, 2025
🔹 Experience Level: 10+ years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Leading a team of senior Applied, Data, and Research scientists to build large scale ML and GenAI systems
- Defining the strategic vision and long-term roadmap for the team
- Mentoring team members and communicating progress to senior leadership
- Collaborating with cross-functional teams and external partners to drive productization and customer impact
- Influencing data science driven solutions across Marketing systems
ASSUMPTION: This role requires a high level of technical expertise and leadership skills to manage a team of senior scientists and influence cross-functional roadmaps.
📋 Key Responsibilities
✅ Lead and manage a team of senior Applied, Data, and Research scientists to build large scale ML and GenAI systems
✅ Define the strategic vision and long-term roadmap for the team
✅ Mentor team members and communicate research findings and progress to senior leadership and stakeholders
✅ Collaborate with technical and business leaders to influence cross-functional roadmaps and deliver scientific artifacts and/or products successfully
✅ Rapidly experiment and drive productization to deliver customer impact
ASSUMPTION: This role involves a high degree of autonomy and requires strong leadership, technical, and communication skills to manage a team and influence cross-functional teams.
🎯 Required Qualifications
Education: Master's degree in Computer Science, Statistics, Mathematics, or a related field
Experience: 10+ years of experience in applied machine learning, data science, or a related field, with at least 5 years of experience managing teams
Required Skills:
- Expertise in machine learning, generative AI, statistical modeling, optimization, and experimentation
- Proven ability to lead and manage high-performing teams
- Strong business acumen and ability to work effectively with technical and business leaders
- Excellent communication and presentation skills
- Ability to influence cross-functional teams and drive consensus on approach and prioritization
Preferred Skills:
- Experience working with large-scale advertising platforms and external partners
- Familiarity with Amazon's advertising systems and products
- Experience with A/B experimentation mechanisms
ASSUMPTION: The ideal candidate will have a strong technical background in machine learning and data science, with proven leadership and management experience, as well as a deep understanding of marketing systems and advertising platforms.
💰 Compensation & Benefits
Salary Range: $200,000 - $300,000 per year (estimated based on industry standards for a senior manager role in Seattle)
Benefits:
- Health, dental, and vision insurance
- 401(k) matching
- Paid time off and holidays
- Maternity and paternity leave
- Employee discounts
Working Hours: Full-time, typically 40 hours per week, with some flexibility for remote work
ASSUMPTION: The salary range is an estimate based on industry standards for a senior manager role in Seattle. The actual salary may vary depending on the candidate's experience and qualifications.
📌 Applicant Insights
🔍 Company Context
Industry: Amazon is a leading global technology and e-commerce company, operating in the Software Development industry
Company Size: Amazon has over 10,000 employees, providing a large and dynamic work environment
Founded: Amazon was founded in 1994 and has since grown into a multinational corporation with a significant impact on the global economy
Company Description:
- Amazon is guided by four principles: customer obsession, passion for invention, commitment to operational excellence, and long-term thinking
- The company is driven by the excitement of building technologies, inventing products, and providing services that change lives
- Amazon's mission is to be Earth's most customer-centric company
Company Specialties:
- E-commerce
- Retail
- Operations
- Internet
Company Website: Amazon.com
ASSUMPTION: Amazon's large size and global presence offer applicants a wide range of opportunities for career growth and development.
📊 Role Analysis
Career Level: Senior Manager
Reporting Structure: This role reports directly to the Director of Applied Science for Automated Marketing and Experiences
Work Arrangement: On-site, with some flexibility for remote work
Growth Opportunities:
- Potential to grow into a Director or Vice President role within the Applied Science organization
- Opportunities to lead larger teams and influence broader strategic initiatives
- Chance to work on cutting-edge machine learning and AI technologies
ASSUMPTION: This role offers significant growth opportunities for the right candidate, with the potential to advance within the Applied Science organization and make a substantial impact on Amazon's advertising business.
🌍 Location & Work Environment
Office Type: Amazon's Seattle headquarters is a modern, collaborative workspace with on-site amenities
Office Location(s): 410 Terry Avenue North, Seattle, WA 98109
Geographic Context:
- Seattle is a vibrant, multicultural city with a thriving tech industry
- The city offers a high cost of living but also high earning potential
- Seattle has a mild, oceanic climate with cool, wet winters and mild, dry summers
Work Schedule: Full-time, typically 40 hours per week, with some flexibility for remote work
ASSUMPTION: The Seattle office provides a dynamic and collaborative work environment, with ample opportunities for professional growth and development.
💼 Interview & Application Insights
Typical Process:
- Phone or video screen with a member of the Applied Science team
- On-site interview with the hiring manager and other team members
- Final interview with the Director of Applied Science for Automated Marketing and Experiences
Key Assessment Areas:
- Technical expertise in machine learning and data science
- Leadership and management skills
- Business acumen and ability to work effectively with cross-functional teams
- Communication and presentation skills
Application Tips:
- Highlight relevant experience and accomplishments in your resume, with a focus on leadership and management roles
- Tailor your cover letter to demonstrate your understanding of Amazon's advertising business and the role's requirements
- Prepare for technical and behavioral interview questions, focusing on your expertise in machine learning and data science, as well as your leadership and management skills
ATS Keywords: Machine Learning, Generative AI, Data Science, Leadership, Management, Cross-Functional Teams, Amazon Ads, Marketing Systems, Strategic Vision, Roadmap, Productization, Customer Impact
ASSUMPTION: The interview process for this role is likely to be competitive and rigorous, with a strong focus on technical expertise and leadership skills.
🛠️ Tools & Technologies
- Machine learning frameworks (e.g., TensorFlow, PyTorch)
- Programming languages (e.g., Python, R)
- Data processing and analysis tools (e.g., Pandas, NumPy)
- Cloud platforms (e.g., Amazon Web Services)
- Collaboration and project management tools (e.g., JIRA, Confluence)
ASSUMPTION: The tools and technologies required for this role are industry-standard and widely used in machine learning and data science.
👔 Cultural Fit Considerations
Company Values:
- Customer obsession
- Passion for invention
- Commitment to operational excellence
- Long-term thinking
Work Style:
- Fast-paced and dynamic
- Collaborative and team-oriented
- Data-driven and analytical
- Innovative and entrepreneurial
Self-Assessment Questions:
- Do you have a proven track record of leading high-performing teams and driving customer impact?
- Are you comfortable working in a fast-paced, dynamic environment and making data-driven decisions?
- Do you have a strong understanding of Amazon's advertising business and the role's requirements?
ASSUMPTION: Amazon's culture is fast-paced, collaborative, and data-driven, with a strong focus on customer obsession and innovation. Candidates should be comfortable working in a dynamic environment and have a strong understanding of Amazon's advertising business.
⚠️ Potential Challenges
- Managing a team of senior scientists with diverse expertise and backgrounds
- Balancing strategic vision and day-to-day management responsibilities
- Navigating a large, complex organization and influencing cross-functional teams
- Keeping up with the latest developments in machine learning and AI technologies
ASSUMPTION: This role presents significant challenges, but also offers substantial opportunities for growth and impact within Amazon's advertising business.
📈 Similar Roles Comparison
- Compared to other senior manager roles in machine learning and data science, this role offers a unique opportunity to influence Amazon's advertising business and drive customer impact
- Amazon's large-scale advertising platforms provide a unique opportunity to work with large, complex datasets and cutting-edge machine learning technologies
- This role offers significant growth opportunities, with the potential to advance within the Applied Science organization and take on broader strategic initiatives
ASSUMPTION: This role is unique in its focus on Amazon's advertising business and offers significant opportunities for growth and impact within the Applied Science organization.
📝 Sample Projects
- Developing a generative AI model to automatically create and optimize ad content for Amazon's advertising platforms
- Building a large-scale bidding system to optimize ad placement and maximize net profit for Amazon's advertising business
- Designing and implementing A/B experimentation mechanisms to measure the efficacy of ML solutions across Amazon's advertising platforms
ASSUMPTION: These sample projects are illustrative of the types of initiatives a Senior Applied Science Manager might lead within Amazon's advertising business.
❓ Key Questions to Ask During Interview
- How does this role fit into the broader strategic vision for Amazon's advertising business?
- What are the key priorities for the team in the first 30, 60, and 90 days in this role?
- How does the Applied Science team collaborate with other cross-functional teams within Amazon's advertising business?
- What opportunities are there for growth and development within the Applied Science organization?
- How does Amazon support work-life balance for employees in this role?
ASSUMPTION: These questions are designed to help candidates better understand the role's requirements, the team's priorities, and the opportunities for growth and development within Amazon's advertising business.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume to highlight your relevant experience and accomplishments in machine learning, data science, and leadership and management roles
- Write a cover letter that demonstrates your understanding of Amazon's advertising business and the role's requirements
- Prepare for technical and behavioral interview questions, focusing on your expertise in machine learning and data science, as well as your leadership and management skills
- Follow up with the hiring manager one week after submitting your application to express your interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
