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

Nominate & Attend

Technical Account Manager

Newbury
3 days ago
Create job alert

Job Title: Technical Account Manager
Location: Newbury
Salary: £45,000 - £50,000 per annum OTE £70,000
Job Type: Permanent, Full Time
At Netteam tX, we recognise and develop talent, and look to retain talent through the creation of career opportunities, lateral and horizontal. Our culture is centred around our belief in continually refining our skills and knowledge, collectively as a team as well as individually. We actively encourage creativity and innovation, and we strongly believe that it is our people that make us great.
About the role:
We are seeking a Technical Account Manager to serve as a strategic advisor and technical liaison between our organisation and clients. Your core objective will be to drive customer satisfaction, retention, and technology adoption by aligning our solutions to client needs and business goals. You will build strong relationships with stakeholders, provide proactive technical support, and identify opportunities for service improvement and growth.
Responsibilities:
Client Engagement & Relationship Management

  • Act as the primary technical contact for assigned clients and maintain trusted relationships with key stakeholders.
  • Lead regular service reviews, including quarterly business reviews and roadmap discussions.
  • Ensure Account Managers deliver high-quality service and identify opportunities for growth.
    Technical Strategy & Advisory
  • Gain an in-depth understanding of client IT environments, business priorities, and challenges.
  • Offer expert guidance on IT best practices, solution optimisation, and innovative technology adoption, including cloud services, cybersecurity, and workplace technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform.
  • Translate technical concepts into business-aligned language for non-technical stakeholders.
  • Advise on emerging technologies like AI and machine learning, and how these can support client objectives.
  • Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation of IT investments.
    Service & Project Oversight
  • Monitor service performance metrics and ensure effective issue resolution in collaboration with internal teams.
  • Work with project managers and engineers to deliver successful IT projects such as hybrid cloud setups, network security, and software deployments.
  • Advocate for clients within the organisation, leveraging ITIL frameworks and service management tools to escalate and resolve concerns.
    Account Growth & Opportunity Identification
  • Use data analytics and CRM systems to identify upselling and cross-selling opportunities.
  • Collaborate with the sales team to develop technical proposals tailored to client needs.
  • Provide technical insights during license and renewal negotiations.
  • Promote new products and services, ensuring all potential growth opportunities are explored.
  • Maintain regular pipeline forecasts for both your clients and your team.
    Mentorship
  • Mentor Account Managers on technical alignment appropriate to their accounts.
  • Work with the Director of Sales Ops & Customer Success to maintain and optimise the tech stack.
    Compliance & Security
  • Maintain a solid understanding of Information Security Management Systems (ISMS) and ensure compliance with data protection policies and regulations.
    About you:
    Experience:
  • Proven experience as a strategic IT advisor to senior clients, ideally as a TAM, Solutions Consultant, or Engineer.
  • Strong background in IT infrastructure, cloud services, cybersecurity, and modern workplace technologies.
  • Experience in MSP and IT sales, developing new business, managing client relationships, and leading sales initiatives.
  • Ability to lead client-facing discussions focused on both business needs and technological solutions.
  • Commercial awareness with a knack for identifying value-based solutions.
  • Extensive experience managing large client accounts, translating technical concepts for non-technical stakeholders, and influencing decision-makers.
  • Proficiency with CRM systems, using data to manage client relationships and optimise sales.
  • A degree or equivalent is highly desirable.
    Personal Attributes:
  • Friendly, professional, and commercially astute.
  • Strategic, excited about tech, and able to engage stakeholders.
  • Strong written and verbal communication skills, especially when explaining technical issues to non-technical clients.
  • Clear and frequent communicator who values problem-solving and learning.
  • Disciplined and able to prioritise and execute tasks under pressure
    Why join us?
  • Work-life balance is the norm, not a perk.
  • Enjoy a fun, productive environment with a supportive team.
  • Workplace pension provided.
  • Access to comprehensive in-house and external training.
  • Competitive salary reflecting your skills and experience.
    Please click on the APPLY button to send your CV and Cover Letter for this role.
    Candidates with experience of: Support Analyst, IT Advisor, IT Account Manager, SQL, Technical Account Manager, Solutions Consultant, Customer Success Executive, Customer Excellence Manager, Client Support, IT Services Manager, IT Sales Account Manager, may also be considered for this role

Related Jobs

View all jobs

Senior Account Manager (Process Automation)

Data Engineer - Customer Success

Technical Event Project Manager

Delegated Account Technician

Business Intelligence (BI) Manager - Contract - Thame

Manager Big Data Architecture

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 Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

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

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.