National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Amazon PPC Strategist & Account Manager

Sophie Society Co.
Newcastle upon Tyne
3 months ago
Applications closed

Related Jobs

View all jobs

Applied Scientist, ATS Machine Learning & Engineering

Data Scientist, Ad Fraud Detection, Traffic Quality ML

Data Scientist II, SAnDS

Data Scientist II

Data Scientist II, Regulatory Intelligence, Safety, and Compliance (RISC)

Data Engineer, Japan Consumer Innovation (JCI), JP Science and Data Technologies

About us


Sophie Society has opened a new slot for a dedicated Amazon PPC Strategist to join our team. Sophie is an official Amazon Ads partner and host of the most well attended digital Amazon PPC focused event in the world- The Profitable PPC Challenge. You’ll be joining a fast-paced, innovative, young and energetic team of experts, with a culture of mastery and accelerated growth.

In this role, you will be responsible for the success of the Amazon PPC Ads for a set of brands. This is an intrapreneurial role that allows you to directly scale your rewards as you scale your results. This structure has attracted the brightest minds in the Amazon PPC industry to our team. You will be surrounded by intelligent, thoughtful, experienced and innovative PPC masters.


Mission


An Amazon PPC Strategist is responsible for managing the Amazon PPC ads strategy and execution for a set of brands. This includes client communication, creating the strategy and coordinating the implementation of the strategies outlined for the brand.

This role reports to the PPC Team Leader.


Qualifications

  • At least 2 years of experience in Amazon PPC advertising
  • Have proven results (case studies) of success while managing Amazon PPC campaigns
  • Full-time team player
  • Willing to learn and implement the Sophie PPC strategies
  • Curious with the ability to understand the various problems that arise in an Amazon brand outside of the domain of PPC
  • Self-motivated and proactive
  • Excellent written and oral communication skills in English.
  • Communal, cooperative, and interested in contributing actively in a mastermind environment
  • Have a deep understanding of Amazon's algorithm, the fundamentals of product launches, and Amazon in general
  • Have experience providing excellent client communication, including monitoring and managing client messages, complaints, and requests


Role Responsibilities

  • Take over full responsibility for the success of the PPC strategy on between 15 and 18 brands
  • Be present and actively engaged during team meetings and masterminds
  • Navigate your team daily and provide input about each project independently
  • Advise the brands on the issues outside of PPC in their brand, in the domain of conversion rate optimization, click through rate optimization, and other brand management levers.
  • Track the brands’ PPC goals and develop weekly and monthly reports
  • Coordinate with the PPC Manager and Data Analyst to create an action plan that aligns with the strategy outlined for the brands’ account
  • Communicate the PPC strategies to brands based on their goals via email and monthly calls
  • Keep track of the brands’ PPC goals on a yearly, quarterly, monthly, and weekly basis.


What you can expect from us

  • We are a fully remote company, so you get to work from anywhere and set your own schedule as long as you meet the requirements and deadlines.
  • Results and performance based culture, not sacrifice based. Freedom to find efficiency and efficacy methods to optimize personal time and/or compensation.
  • We have team members primarily located in Europe, as well as some team members in the US and Asia. We are a team of 30 full time passionate, growth-minded individuals who operate with a supportive and cooperative culture, creating a family-like atmosphere. You will be part of a company where your co-workers and managers genuinely care about you and opening opportunities for your personal and professional growth.
  • We encourage our colleagues to work in their preferred environment. If you feel that a coworking place is the ideal spot for you, it's on us. We work with you to provide you the tools, resources, and environment you need to perform best.


Once you join the Sophie team, you will experience

  • Salary from £3,150.00-£6,300.00 per month + (uncapped)
  • A competitive salary with the opportunity to scale compensation (uncapped).
  • 21 paid days off.
  • Yearly paid company retreat.
  • Defined growth path - we provide a unique 360-degree feedback system that allows you to gain new perspectives on yourself. Nothing great can be built without feedback.
  • Young and enthusiastic teammates.
  • We organize Amazon PPC events where you can learn from thought leaders, as well as eventually become elevated to the status of a mentor and recognized publicly as a thought leader in the space.


Next Steps

  1. Submit your application with your resume.
  2. Shortlisted candidates will be invited to complete a virtual interview.
  3. Qualifying applicants will be invited to complete a PPC assessment test.
  4. Final interview with the Head of PPC Team.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.