BMS Account Manager

London

10 months ago

Applications closed

Are you a dynamic and results-driven sales professional with a passion for energy management and BMS solutions? Do you thrive in a target-driven environment and love building long-term client relationships?
A forefront of innovative energy and building management solutions is looking for a high-performing Account Manager to help drive sales, develop client relationships, and expand our market presence in the South-East & London region.
As an Account Manager, you will:

Manage existing 265 accounts and grow new business opportunities across the South-East & London.
Develop and execute a high-impact sales strategy to achieve ambitious revenue and margin targets.
Build strong relationships with FM companies, management agents, and key end-users.
Identify new routes to market, expand the client base, and cross-sell solutions.
Work closely with the sales, technical, and service delivery teams to ensure top-tier customer satisfaction.
Own the bid process and ensure robust sales governance.
Deliver outstanding customer service while continuously driving revenue growth.
What We’re Looking For:
Proven experience in a target-driven sales role within BMS, Energy, FM, or Property sectors.
A track record of meeting and exceeding sales targets.
Strong commercial acumen, negotiation skills, and the ability to create client-focused solutions.
Ability to develop and execute sales strategies from planning to successful delivery.
Excellent communication and relationship-building skills, with the ability to engage key decision-makers.
Good working knowledge of Building & Energy Management Systems, bid management, and data analytics is an advantage.
What's in it for me?
In addition to your basic salary, there are a variety of additional bonus schemes and benefits on offer to improve your health, wellness, finances and family!
Holiday Allowance: Enjoy 25 days of annual leave with the flexibility to buy or sell additional days.
Pension Scheme: Contribute to your future with a 7.5% pension scheme.
Performance Bonuses: Benefit from bonus schemes tied to company performance and employee referrals.
Sick Pay: Receive competitive sick pay to support you during illness.
Healthcare Benefits: Access private healthcare along with discounted gym memberships, savings on home gym equipment, and offers on meal prep services.
Cycle to Work Scheme: Take advantage of a scheme allowing you to purchase a bicycle up to the value of £2,000 through salary sacrifice.
Electric Vehicle (EV) Programs: Explore opportunities such as leasing an EV vehicle via salary sacrifice and taking interest-free loans of up to £1,000 for installing EV chargers at your home.
Smart Tech Initiative: Purchase household items valued at up to £2,000 interest-free through our Smart Tech Scheme.
Employee Discounts: Enjoy discounts with various retailers, including Red Letter Days, Booking. com, Alton Towers, and more.
APPLY TODAY
If you are a motivated and experienced Accounts Manager, we would love to hear from you!
APPLICANTS MUST HAVE A RIGHT TO WORK IN THE UK AND PRIOR EXPERIENCE WORKING IN THE UK CONSTRUCTION MARKET *
Please note that unfortunately any applicants without the relevant work experience, or the Right To Work in the UK will be unsuccessful.
Crucial People operates as both an Employment Agency and an Employment Business

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

Industry Insights

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

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Jan 23, 2026

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.