Programmatic Solutions Consultant , Amazon Ads Global Sales

Amazon Online UK Limited
London
2 weeks ago
Create job alert

Amazon Ads is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions - including sponsored, display, video, and custom ads - leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. Our programmatic advertising platform, the Amazon Demand Side Platform (DSP), is becoming increasingly popular with major advertisers and agencies worldwide. We believe we understand display advertising better than anybody else and want to turn it into a science of its own that all users can leverage for their programmatic advertising.

Our Amazon DSP team is looking for a Programmatic Solutions Consultant to join Amazon Ads growing team based in London.

As a Programmatic Solutions Consultant, you will manage the end-to-end experience of our enterprise customer, known as programmatic trading desks. You will drive success by developing customer expertise in our programmatic advertising DSP. The Programmatic Solutions Consultant has experience in advertising technology and the programmatic advertising domain, and is leveraging this expertise to help our customers meet and exceed their business objectives. In this customer-facing role, you will work closely with programmatic traders at agencies/advertisers, as well as Amazon Ads internal sales, product, and support teams to address customer needs.

A typical PSC engagement with our customers could include onboarding new traders, delivering trainings on new product features, assisting a customer with a beta feature, consulting in business strategy and planning discussions, providing oversight in execution of campaign strategy, developing campaign optimization recommendations and monitoring their impact, conducting deep dives to determine root causes of issues and informing customers of the best course of action.

You will advocate for customer in internal forums, provide troubleshooting support and triage when needed, and simplify and propagate customer feedback to inform product and services design. PSCs operate as trusted advisors to customers every day, and ensure customers gradually develop into a proficient users of our DSP, who see Amazon DSP as their preferred means to their goals.

You will be passionate about understanding customer objectives, and address them using our book of services and engagement best practices, to drive adoption of Amazon technologies. Your ownership, curiosity, and domain knowledge will allow you to comprehensively understand the details of our offerings and be able to speak to these to our customers with passion, authority, empathy, and clarity.

Key job responsibilities
- Owning the relationship with programmatic trading desk managers, engaging with multiple customer organizational levels to understand business objectives
- Providing services such as onboarding, trade desk support plans, feature training, continuous product usage consultation, and industry best practices
- Analyzing and interpreting data to identify improvement areas, root causes, and formulate enablement and adoption recommendations
- Driving the evolution of Amazon DSP by assisting customers with product beta participation, capturing customer feedback, and collaborating closely with cross-functional Amazon teams (Product Management, Engineering, Analytics, and Specialists)
- Defining and improving processes and tools for the Programmatic Solutions Consultant team to better serve customers

A day in the life
- A typical PSC engagement with our customers could include onboarding new traders, delivering trainings on new product features, assisting a customer with a beta feature, consulting in business strategy and planning discussions, providing oversight in execution of campaign strategy, developing campaign optimization recommendations and monitoring their impact, conducting deep dives to determine root causes of issues and informing customers of the best course of action.

- You will advocate for customer in internal forums, provide troubleshooting support and triage when needed, and simplify and propagate customer feedback to inform product and services design. PSCs operate as trusted advisors to customers every day, and ensure customers gradually develop into a proficient users of our DSP, who see Amazon DSP as their preferred means to their goals.

- You will be passionate about understanding customer objectives, and address them using our book of services and engagement best practices, to drive adoption of Amazon technologies. Your ownership, curiosity, and domain knowledge will allow you to comprehensively understand the details of our offerings and be able to speak to these to our customers with passion, authority, empathy, and clarity.

About the team
Here at Amazon Ads, we embrace our differences. We are committed to furthering our culture of inclusion. We have 13 employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team puts a high value on work-life balance. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

BASIC QUALIFICATIONS

- Experience in digital advertising and client facing roles
- Experience with annual brand and media planning
- Experience (technical and operational) with multiple domain areas of programmatic advertising technologies (DSP, RTB, bid shading, machine learning optimization, ad verification, ad tracking, ad attribution, etc.)
- Ability to effectively present to and confidently communicate with business-to-business (B2B) customers, including facilitating onboarding and training, or presenting plans to customer leadership (e.g. Head of Programmatic at an agency or advertiser)
- Bachelor’s degree in marketing, communications, or equivalent experience

PREFERRED QUALIFICATIONS

- Experience in e-commerce or online advertising
- Experience analyzing data and best practices to assess performance drivers
- Experience in programmatic trading across different demand-side platforms (DSPs). Vertical specialization (e.g. in entertainment, retail, automotive etc.) within programmatic advertising.
- Proficient oral and written communication skills with ability to establish credibility with technical and non-technical business owners.

Related Jobs

View all jobs

Generative AI Strategist, Generative AI Innovation Center

Senior Customer Success Manager at Mobile Ad Tech (Gaming Apps)

Senior Ad Tech Engineer

Sales Account Director

Senior AI Lead (GenAI)

Senior Analyst - CRM

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.