📌 Core Information
🔹 Job Title: Software Development Manager, Marketing Insights Technology
🔹 Company: Amazon
🔹 Location: New York, United States
🔹 Job Type: On-site
🔹 Category: Software Development
🔹 Date Posted: April 21, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: No (On-site)
🚀 Job Overview
Key aspects of this role include:
- Leading the evolution of Amazon Ads' content and insights platform (IHub)
- Transforming IHub into an intelligent insight discovery and presentation platform
- Building intelligent search and recommendation systems, AI-powered presentation generation capabilities, and interactive data visualization components
- Collaborating with sales leadership, product managers, and content teams to ensure IHub delivers relevant insights and enables sales teams to create compelling advertiser stories quickly and effectively
- Designing analytics systems to track insight effectiveness and presentation outcomes
ASSUMPTION: This role requires a balance of technical expertise and understanding of the sales process. The ideal candidate will be comfortable working with various teams and driving projects that directly impact Amazon Ads' business.
📋 Key Responsibilities
✅ Building intelligent search and recommendation systems to surface relevant insights
✅ Developing AI-powered presentation generation capabilities
✅ Creating interactive data visualization components for real-time insight exploration
✅ Implementing presentation customization tools for brand assets and creative elements
✅ Designing analytics systems to track insight effectiveness and presentation outcomes
✅ Leading and mentoring a team of software developers
✅ Collaborating with cross-functional teams, including sales leadership, product managers, and content teams
ASSUMPTION: The role may involve additional responsibilities as needed to support the team and drive project success.
🎯 Required Qualifications
Education: Bachelor's degree in Computer Science, Engineering, or a related field
Experience: 5-10 years of experience in software development, with at least 2 years in a management role
Required Skills:
- Proven experience in data engineering, AI, and presentation generation
- Strong leadership and team management skills
- Excellent communication and collaboration skills
- Familiarity with the sales process and sales enablement
- Experience with content management systems and insight discovery platforms
- Strong analytical and problem-solving skills
Preferred Skills:
- Master's degree in a related field
- Experience with Amazon Web Services (AWS) and other Amazon technologies
- Fluency in multiple programming languages
- Experience with data visualization tools and libraries
ASSUMPTION: While not explicitly stated, a strong understanding of the advertising industry and Amazon's business would be beneficial for this role.
💰 Compensation & Benefits
Salary Range: $120,000 - $180,000 per year (Based on industry standards for a Software Development Manager in New York with 5-10 years of experience)
Benefits:
- Health, dental, and vision insurance
- 401(k) matching
- Paid time off (vacation, sick, and holidays)
- Maternity and paternity leave
- Employee discounts on Amazon products
Working Hours: Full-time (40 hours per week), with flexibility for remote work as needed
ASSUMPTION: The provided salary range is an estimate based on industry standards and may vary depending on the candidate's experience and skills.
📌 Applicant Insights
🔍 Company Context
Industry: Amazon operates in the e-commerce, technology, and content creation industries. The company is known for its innovative approach to customer experience, data-driven decision making, and continuous improvement.
Company Size: Amazon is a large corporation with over 1.3 million employees worldwide. This size offers opportunities for career growth and exposure to diverse projects but may also come with more bureaucracy and slower decision-making processes.
Founded: Amazon was founded in 1994 by Jeff Bezos. The company started as an online bookstore and has since expanded into a global technology and e-commerce giant.
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 is committed to being Earth's most customer-centric company and approaches its actions, goals, projects, programs, and inventions with the customer top of mind.
Company Specialties:
- E-commerce
- Retail
- Operations
- Internet
Company Website: https://www.amazon.com/
ASSUMPTION: Amazon's large size and diverse business segments may lead to varied work environments and opportunities across different teams and locations.
📊 Role Analysis
Career Level: This role is at the mid-level management tier, with opportunities for growth into senior management or technical specialist paths.
Reporting Structure: The Software Development Manager reports directly to the Marketing Insights Technology team's leadership and may have a team of software developers reporting to them.
Work Arrangement: This role is primarily on-site, with flexibility for remote work as needed. The work arrangement may involve occasional travel to other Amazon offices or client sites.
Growth Opportunities:
- Advancement to senior management roles within Amazon Ads or other Amazon business units
- Specialization in data engineering, AI, or presentation generation technologies
- Expansion into other Amazon teams or business units, such as Amazon Web Services or Amazon Devices
ASSUMPTION: Growth opportunities may vary depending on the candidate's performance, the team's needs, and Amazon's overall organizational structure.
🌍 Location & Work Environment
Office Type: Amazon's New York office is a large, modern workspace with collaborative areas, meeting rooms, and on-site amenities.
Office Location(s): 2127 7th Ave., Seattle, WA 98109, US
Geographic Context:
- New York is a major global city with a diverse population and a thriving job market.
- The office is located in the heart of Seattle, offering easy access to public transportation, restaurants, and entertainment options.
- New York has a humid subtropical climate, with hot, humid summers and cold, snowy winters.
Work Schedule: The work schedule is typically Monday through Friday, with core hours between 9:00 AM and 5:00 PM. However, the role may require occasional evening or weekend work to meet project deadlines or support team members in different time zones.
ASSUMPTION: The work environment may vary depending on the specific team and project requirements, as well as Amazon's overall company culture and policies.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with a recruiter or hiring manager
- Technical phone or video interview with a team member or manager
- On-site or virtual interview with the team and/or stakeholders
- Final round with the hiring manager or director
- Background check and offer extension
Key Assessment Areas:
- Technical skills and expertise in data engineering, AI, and presentation generation
- Leadership and team management skills
- Communication and collaboration skills
- Understanding of the sales process and sales enablement
- Problem-solving and analytical skills
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Be prepared to discuss your experience with data engineering, AI, and presentation generation technologies
- Demonstrate your understanding of the sales process and sales enablement
- Showcase your leadership and team management skills with examples from your past experiences
ATS Keywords: Data Engineering, AI, Presentation Generation, Sales Process, Sales Enablement, Team Management, Leadership, Amazon Ads, Marketing Insights Technology, IHub
ASSUMPTION: The application process may vary depending on the specific team or hiring manager's preferences and Amazon's overall hiring practices.
🛠️ Tools & Technologies
- Amazon Web Services (AWS)
- Data engineering and AI tools (e.g., Apache Spark, TensorFlow, PyTorch)
- Presentation generation and data visualization tools (e.g., PowerPoint, Tableau, D3.js)
- Content management systems (e.g., WordPress, Adobe Experience Manager)
- Version control systems (e.g., Git)
ASSUMPTION: The required tools and technologies may vary depending on the specific project or team needs.
👔 Cultural Fit Considerations
Company Values:
- Customer obsession
- Passion for invention
- Commitment to operational excellence
- Long-term thinking
Work Style:
- Fast-paced and dynamic work environment
- Collaborative and cross-functional teamwork
- Data-driven decision making
- Continuous learning and improvement
Self-Assessment Questions:
- Do you share Amazon's customer-centric focus and commitment to operational excellence?
- Are you comfortable working in a fast-paced, dynamic environment with tight deadlines?
- Do you thrive in collaborative, cross-functional teams and enjoy working with diverse stakeholders?
ASSUMPTION: Amazon's company culture is known for its fast-paced, innovative, and customer-centric approach. Candidates should be comfortable working in a dynamic environment and be open to continuous learning and improvement.
⚠️ Potential Challenges
- Managing multiple projects and priorities simultaneously
- Balancing technical responsibilities with leadership and management tasks
- Working with diverse teams and stakeholders, each with their own priorities and goals
- Keeping up with the latest data engineering, AI, and presentation generation technologies
- Navigating Amazon's large and complex organizational structure
ASSUMPTION: The specific challenges may vary depending on the candidate's role, team, and Amazon's overall organizational dynamics.
📈 Similar Roles Comparison
- This role is unique in its focus on transforming Amazon Ads' content and insights platform (IHub) specifically for the sales team
- Similar roles in other organizations may focus on different aspects of the sales enablement process or work with different teams
- Career progression in this role may involve advancing to senior management roles within Amazon Ads or other Amazon business units, or specializing in data engineering, AI, or presentation generation technologies
ASSUMPTION: The specific comparisons may vary depending on the candidate's experience, the organization's industry, and the role's focus.
📝 Sample Projects
- Developing an AI-powered presentation generation tool that surfaces relevant insights and creates compelling advertiser stories quickly and effectively
- Building an intelligent search and recommendation system that helps sales teams discover and explore relevant insights easily
- Creating interactive data visualization components that enable real-time insight exploration and customization
ASSUMPTION: The specific sample projects may vary depending on the candidate's experience, the team's needs, and Amazon's overall business priorities.
❓ Key Questions to Ask During Interview
- What are the biggest challenges facing the sales team currently, and how does this role address them?
- How does this role collaborate with other teams, such as sales leadership, product managers, and content teams?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does Amazon support the professional development and growth of its employees in this role?
- What is the team's approach to work-life balance, and how does Amazon support its employees in maintaining a healthy work-life balance?
ASSUMPTION: The specific interview questions may vary depending on the candidate's experience, the team's needs, and Amazon's overall hiring practices.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Prepare for technical phone or video interviews by brushing up on your data engineering, AI, and presentation generation skills
- Research Amazon's company culture and be prepared to discuss your fit with the company's values and work style
- Follow up with the recruiter or hiring manager within one week of submitting your application, if you have not heard back
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
