📌 Core Information
🔹 Job Title: Programmatic E-commerce Manager - DSP
🔹 Company: Stackline
🔹 Location: London, City of, United Kingdom
🔹 Job Type: On-site
🔹 Category: Software Development
🔹 Date Posted: 2025-04-29
🔹 Experience Level: 2-5 years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Developing, delivering, and optimizing programmatic display campaigns on e-commerce platforms like Amazon DSP
- Building and nurturing relationships with clients to influence their business decisions through data insights
- Synthesizing substantial amounts of data into easily understandable insights for both internal and external audiences
- Identifying opportunities to scale and automate existing service offerings
- Working with leading global brands to provide actionable, accurate, and timely analyses
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and a solid understanding of e-commerce advertising and data analysis tools.
📋 Key Responsibilities
✅ Develop, deliver, and optimize programmatic display campaigns on e-commerce platforms, such as Amazon DSP
✅ Build tactical media plans that include budget and key performance indicator (KPI) recommendations
✅ Synthesize substantial amounts of data and analyses into easily understandable insights for both internal and external audiences
✅ Build and develop relationships with individuals at prominent consumer brands across all organisational levels and departments
✅ Lead regular client calls to address project work, discuss business trends, and plan future engagements
✅ Support the management of client accounts, with the goal of independently overseeing key clients and accounts
✅ Identify and implement opportunities to scale and/or automate existing service offerings
✅ Assist in engagements with leading global brands by providing actionable, accurate, and timely analyses
✅ Own relationships across various-sized brands, leveraging Stackline’s data to provide top-quality insights to key clients
✅ Enhance brands’ e-commerce operations by identifying optimisations within pricing/promotions, advertising, content, etc.
✅ Generate reports analysing media performance and incorporating tie-ins to market share trends and competitive analysis
✅ Acquire in-depth knowledge of Stackline’s various software products as a subject matter expert (SME) for clients
ASSUMPTION: This role involves a high degree of client interaction and data analysis, requiring strong communication and organizational skills.
🎯 Required Qualifications
Education: Bachelor’s degree in Business Administration, Marketing, Communications, or related field
Experience: 2 - 4 years of relevant account management experience and 2 - 4 years of experience in display programmatic media or similar digital advertising discipline
Required Skills:
- Proficient in Microsoft Excel and PowerPoint
- Strong analytical and problem-solving skills
- Excellent communication and presentation skills
- Ability to manage multiple projects and deadlines
- Familiarity with e-commerce advertising and data analysis tools
Preferred Skills:
- Demonstrated understanding of the Amazon Advertising ecosystem
- Experience working in a startup, retail, digital advertising, or e-commerce environment
- Proficiency in Japanese
ASSUMPTION: While not explicitly stated, proficiency in data analysis tools and familiarity with e-commerce advertising platforms are essential for this role.
💰 Compensation & Benefits
Salary Range: £50,000 - £70,000 per year (based on the provided range)
Benefits:
- Annual Bonuses
- Short-Term Incentives
- Long-Term Incentives
- Team-Specific Awards
Working Hours: Full-time, typically 40 hours per week
ASSUMPTION: The salary range provided is inclusive of all components of the compensation package, including base salary, bonuses, and incentives.
📌 Applicant Insights
🔍 Company Context
Industry: Software Development, specifically focused on retail intelligence and activation for brands
Company Size: 201-500 employees, which means applicants can expect a mid-sized company structure with opportunities for growth and collaboration
Founded: 2014, with a headquarters in Seattle, Washington, USA
Company Description:
- Stackline is on a mission to fuel the future of commerce by bringing brands and customers closer together
- They provide an AI-enabled retail intelligence and activation platform for the world's most innovative brands
- Stackline's platform offers market insights, revenue metrics, behavioral data, and autonomous functionality to drive business success
Company Specialties:
- Software development for retail analytics, data science, machine learning, and predictive analytics
- E-commerce and online retail data analysis
Company Website: http://www.stackline.com
ASSUMPTION: As a mid-sized company, Stackline offers a balance between a structured work environment and the agility of a startup, allowing employees to have a significant impact on the company's growth and success.
📊 Role Analysis
Career Level: Mid-level, with opportunities for growth and advancement within the company
Reporting Structure: This role reports directly to the Manager of Programmatic E-commerce, with potential exposure to various internal teams and external clients
Work Arrangement: On-site, with the possibility of hybrid or remote work arrangements in the future
Growth Opportunities:
- Potential career progression into senior or management roles within the company
- Expanding expertise in e-commerce advertising, data analysis, and client management
- Opportunities to work with leading global brands and influence their business decisions
ASSUMPTION: Given the company's focus on growth and innovation, there are likely opportunities for career advancement and skill development in this role.
🌍 Location & Work Environment
Office Type: On-site, with a potential for hybrid or remote work arrangements in the future
Office Location(s): London, City of, United Kingdom
Geographic Context:
- London is a major global city with a vibrant tech industry, offering ample opportunities for professional growth and networking
- The city is known for its diverse culture, rich history, and high quality of life
- London's time zone is UTC +0, which may require some flexibility in working hours for international clients
Work Schedule: Full-time, typically 40 hours per week, with potential flexibility for remote work
ASSUMPTION: As a global company with a presence in multiple time zones, applicants should be prepared for some flexibility in their work schedule to accommodate international clients.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screening with the hiring manager
- In-depth interviews with team members or stakeholders
- Final interviews with senior leadership or the hiring manager
Key Assessment Areas:
- Data analysis and problem-solving skills
- Communication and presentation skills
- Understanding of e-commerce advertising and client management
- Cultural fit and alignment with Stackline's mission and values
Application Tips:
- Highlight relevant experience and skills in data analysis, e-commerce advertising, and client management
- Tailor your resume and cover letter to emphasize your fit for this specific role and company
- Prepare examples of data-driven insights and recommendations from previous projects
- Research Stackline's platform, clients, and industry to demonstrate your understanding and enthusiasm for the role
ATS Keywords: Programmatic, E-commerce, DSP, Data Analysis, Client Management, Amazon Advertising, Retail Intelligence, Brand Activation
ASSUMPTION: As a mid-sized company with a focus on growth and innovation, Stackline's interview process is likely to be thorough and comprehensive, with a strong emphasis on cultural fit and technical skills.
🛠️ Tools & Technologies
- Microsoft Excel and PowerPoint
- Amazon DSP and other e-commerce advertising platforms
- Data analysis tools (e.g., SQL, Python, R)
- Project management tools (e.g., Asana, Trello)
ASSUMPTION: While not explicitly stated, proficiency in Microsoft Excel and PowerPoint is essential for this role, as is familiarity with e-commerce advertising platforms and data analysis tools.
👔 Cultural Fit Considerations
Company Values:
- Innovation: Stackline is committed to driving innovation in the retail intelligence and activation space
- Collaboration: They foster a collaborative work environment where employees can learn from one another and grow together
- Customer-centric: Stackline prioritizes understanding and meeting the needs of their clients
Work Style:
- Data-driven: Stackline's decisions are based on data and insights
- Agile: The company is adaptable and responsive to change
- Results-oriented: Stackline focuses on delivering tangible results for their clients
Self-Assessment Questions:
- Do you have a strong analytical mindset and enjoy working with data to drive business decisions?
- Are you comfortable working in a fast-paced, dynamic environment and adapting to change?
- Do you thrive in a collaborative work environment and enjoy learning from your colleagues?
ASSUMPTION: As a mid-sized company focused on growth and innovation, Stackline values employees who are data-driven, agile, and results-oriented, with a strong commitment to collaboration and customer-centricity.
⚠️ Potential Challenges
- Managing multiple client accounts and projects simultaneously may require strong organizational skills and time management
- Working with large datasets and complex analyses may present technical challenges that require problem-solving and troubleshooting skills
- Developing and maintaining strong relationships with clients may require excellent communication and interpersonal skills
- Adapting to the company's fast-paced, dynamic environment may present challenges for those who prefer a more structured work environment
ASSUMPTION: While Stackline offers a dynamic and innovative work environment, applicants should be prepared to manage multiple projects, work with complex data, and adapt to a fast-paced environment.
📈 Similar Roles Comparison
- This role is similar to a Senior Media Planner or Programmatic Specialist, but with a stronger focus on data analysis and client management
- Unlike other roles in the industry, this position requires a unique blend of data analysis, e-commerce advertising, and client management skills
- Career progression in this role may lead to senior or management positions within the company, rather than a lateral move to a different function
ASSUMPTION: While this role shares similarities with other media planning and programmatic specialist positions, its unique focus on data analysis and client management sets it apart from other opportunities in the industry.
📝 Sample Projects
- Developing a comprehensive media plan for a major retail client, including budget allocation, KPI recommendations, and tactical strategies
- Analyzing market share trends and competitive analysis to inform advertising strategies and optimize media performance
- Identifying opportunities to scale and automate existing service offerings by leveraging Stackline's data and technology stack
ASSUMPTION: These sample projects illustrate the data-driven, client-focused, and innovative nature of the work required for this role.
❓ Key Questions to Ask During Interview
- Can you describe the typical workday for this role and how it may evolve over time?
- How does this role collaborate with other teams within the company, such as data science, product, or engineering?
- What opportunities are there for professional growth and development within this role and the company?
- How does Stackline support its employees in maintaining a healthy work-life balance, especially in a fast-paced, dynamic environment?
- Can you provide an example of a time when a team member's data-driven insights significantly impacted a client's business decisions?
ASSUMPTION: These interview questions are designed to provide insight into the day-to-day responsibilities, collaboration, growth opportunities, work-life balance, and the impact of data-driven insights in this role.
📌 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 in data analysis, e-commerce advertising, and client management
- Prepare examples of data-driven insights and recommendations from previous projects to demonstrate your analytical prowess and problem-solving skills
- Research Stackline's platform, clients, and industry to demonstrate your understanding and enthusiasm for the role
- Follow up with the hiring manager one week after submitting your application to express your continued interest in the position
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
