Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Manager, Customer Success and Operations

Compliant
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Strategic Analytics and Data Science Manager

Senior Strategic Analytics and Data Science Manager

Senior AI Agent Engineer (Machine Learning)

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Staff Machine Learning Scientist

Company Overview

At Compliant, we are shaping the future of digital media for responsible audience development, consumer targeting and media curation. The lack of industry transparency means unlawful and unethical data practices go unseen, potentially exposing well meaning companies to irreparable harm. As consumer data becomes a company’s most valuable marketing asset, Compliant is an essential ingredient in both the collection and activation of this privacy-first data.


Founded in 2022 by industry veterans from Facebook, Procter & Gamble, and Unilever, our AI-driven technology today powers global brands, media agencies, and publishers. In their efforts to prioritize privacy and data compliance, leading companies can now ensure their data collection efforts and media investments flow towards higher quality audiences, supply partners and impressions. Data compliance is now a strategic advantage for businesses of any size.


As a rapidly growing, early stage company with a strong presence in the US and Europe, come join the Compliant team who is shaping the future of privacy & compliance in digital marketing & media. 


Job Description

We are obsessed with Client Success. Customer Success team members play a primary role in defining success, setting strategies and enabling clients to implement their consumer privacy and data compliance efforts.


In this role, you will be the primary point of contact with our enterprise customers, helping them maximize the benefits of our technology and ensuring they receive exceptional support and guidance throughout their journey. You’ll also play a key role in the company, working closely with the co-founders and technology teams to define, implement  and continuously optimize operational processes and best practices. 


This is a unique opportunity to join a company in a pivotal role as data compliance becomes a defining standard for responsible and ethical media.


Main Responsibilities  

  • Build strong relationships.Cultivate and maintain strong, long-lasting relationships with strategic customers and key diverse stakeholders (leadership, technical, marketing) across Europe and the Americas, ensuring their satisfaction and success.
  • Manage & grow accounts:Lead onboarding, customer training and implementation of products into customers. Drive business growth by identifying new opportunities, generate expansion strategies and lead contract negotiations - ensuring customer retention and growth.    
  • Use a data-driven success approach:Provide strategic advice to customers, challenging them to improve their internal processes and achieve better outcomes, ensuring they derive maximum value from our solutions. Analyze and interpret data to offer clients strategic guidance on setting and achieving their goals. 
  • Collaborate:As an early stage company key member, seek to identify, build and embed new processes & blueprints focused on improving customer value over time.
  • Be a product expert:Closely collaborate with product and data science teams to help clients fully maximize the value of current solutions while providing valuable voice of the customer feedback with the product team.


Experience & Fit

  • 5+ years Account Management experience in digital media consulting, digital marketing agency or advertising technology companies. 
  • A solid understanding of digital media platforms and programmatic media buying is highly desirable. Experience in privacy, ad verification and data compliance is preferred.
  • Experience at working from 0-1 on problems, with examples of leading teams or operational processes and systems from idea to execution.
  • Solution oriented, agile self starter who is comfortable working in, and have experience in a rapidly changing high growth or startup environments. Can think strategically as well as adopt a hands on approach - is willing to roll up sleeves on a variety of tasks. 
  • Excellent communication and interpersonal skills, proven ability to build strong customer relationships. 
  • Enjoys a flexible approach to working in order to support a diverse client base across the Americas and Europe.  
  • Values: low ego, collaborative, entrepreneurial mindset  


Benefits

  • Competitive salary
  • Flexible in terms of location, working hours
  • Professional development opportunities


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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.