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

Apply Now

Sales Manager

Pivotal London
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Business Development Manager - VMware

Senior Strategic Analytics and Data Science Manager

Senior Strategic Analytics and Data Science Manager

Machine Learning Manager, London

Data Scientist III (Large Language Models)

Data Scientist (Information Retrieval)

Sales Manager

Salary: £55k - £65k base + Commission

Location: Manchester (Hybrid)


The Company:

We are currently partnered with an fantastic scale up that specialises in programmatic media solutions, using data analytics and machine learning to optimise digital advertising campaigns. They help brands and agencies improve their audience targeting and campaign performance through integrated data, insights, and omnichannel media buying strategies. With services including advanced audience analytics, creative optimization, and data-driven media planning.


The Role:

As a sales manager you will be responsible for selling their suite of solutions to large network agencies brands, playing a critical role in increasing revenue and expanding their presence in the UK market.


  • Revenue Growth: Generate sales by offering programmatic solutions to network agencies.
  • Agency Partnerships: Strengthen and expand relationships with media agencies to boost client partnerships and ad spend.
  • Tailored Solutions: Customise advertising strategies to align with agency and client goals.
  • Pipeline Development: Build and manage a strong sales pipeline with accurate forecasting.
  • Industry Expertise: Stay informed on industry trends
  • Collaboration: Work with internal teams to ensure smooth campaign execution and maximise client outcomes.
  • Reporting: Regularly update senior management with sales insights, market trends, and feedback.


Requirements:

  • At least 4 years experience working in media
  • Proven track record of growing revenue from network agencies
  • Track record of building revenue-driving customer relationships, with the ability to drive ongoing renewals
  • You are strong at research, with the ability to demonstrate data interpretation
  • Excellent verbal and written communication skills


How do I apply?


To apply for this outstanding opportunity, please contact Alex Rose at Pivotal at .


Pivotal is an equal opportunities employer and we encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.

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.

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.