Nonsensical | The TikTok Agency | Senior Account Manager

Nonsensical | The TikTok Agency
Birmingham
1 year ago
Applications closed

Role:Senior Account Manager

Location:Remote (UK-based)


About the company:

We’re the UK’s leading TikTok agency, working with top brands across the world. Known for our bold, innovative campaigns, we help clients connect with their audiences through engaging and shareable content.


About the role:

We’re looking for an experienced and highly skilled Senior Account Manager to take ownership of key client relationships and oversee campaign delivery at the highest level. This is a role for someone with the expertise and confidence to lead client strategy, the creativity to spark bold ideas, and the organisational skills to deliver exceptional results across multiple accounts.


What you’ll be doing:

  • Client leadership:Build and maintain strong client relationships, acting as their trusted partner and advisor.
  • Account strategy:Lead the strategic planning and execution of TikTok campaigns, ensuring alignment with client objectives.
  • Brief management:Interpret and refine client briefs, translating them into actionable plans for internal teams.
  • Team collaboration:Work with in-house TikTok creators, freelance talent, and influencers to deliver innovative, on-brand content.
  • Content ideation:Drive ideation sessions to develop creative concepts that resonate with TikTok audiences.
  • Campaign performance:Monitor, track, and report on campaign performance, providing actionable insights to optimise results.
  • Research & analysis:Conduct trend, competitor, and influencer analysis to stay ahead in the ever-evolving TikTok landscape.
  • Client shoots:Attend and manage client shoots where necessary, ensuring everything runs smoothly and to brief.


What you’ll bring:

  • Extensive experience in account management, ideally within a social media or creative agency.
  • A deep understanding of TikTok, its trends, and how to create high-performing content.
  • A proven ability to lead multiple client accounts, balancing creativity, and strategic thinking.
  • Strong communication skills, with the gravitas to influence clients and lead discussions confidently.
  • A highly creative mindset, with a passion for generating and refining bold ideas.
  • Exceptional organisational skills and attention to detail, with the ability to juggle multiple tasks and meet tight deadlines.
  • A proactive problem-solver, comfortable with last-minute changes and forward-thinking solutions.
  • Experience working closely with creative teams, understanding their workflows and challenges.
  • A data-driven approach to evaluating campaign success and presenting insights.


What we offer:

  • Additional leave days:

Birthday, house move, or wedding? Take the day off without using your annual leave.

  • Creative enrichment:

Each quarter, enjoy a half-day off and a £50 stipend for an activity that enhances your creativity, whether it’s a workshop, class, or something fun to inspire fresh ideas.

  • Learning allowance:

An annual £200 budget for books, audiobooks, and magazines to support your professional growth.


Although we’re a remote-first company, we offer access to co-working spaces in key UK cities, with many of our team based in hubs such as Birmingham, Manchester, Bristol, and Edinburgh.

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 Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.