Business Development Manager

EES Solutions
Coventry
2 months ago
Applications closed

Related Jobs

View all jobs

Data Pre Sales Consultant - Remote

Market Development Manager

Full Stack Developer

Client Relationship Manager, Office Based

Unit Coordinator

Data Engineer Manager

Job title:Business Development Manager

Location: Coventry/remote

Salary Range: OTE £150,000


Do you want to truly drive business growth? Do you want to be part of real change, growing and developing a business? Do you want to be a key player in delivering innovative engineering experiences? Do you have tons of energy and drive and want to work with a group of people who are supportive and dedicated?


Then you are just the Business Development Manager we need.


Introducing EES Solutions – We take pride in steering engineering design and development projects through every stage of the product lifecycle, providing consultancy, project execution, managed services, and recruitment strategies.

Located in Coventry, with the flexibility of remote work, our pioneering Engineering Consultancy Services are on a mission to spark innovation and ignite inspiration.


Are you our ideal candidate?

  • Can you turn grand plans into tangible achievements?
  • Do you own tons of drive and ambition to demolish sales goals?
  • Are you a mastermind at forging robust client relationships?
  • Can you identify and capitalise on prime sales opportunities to fuel growth?
  • Are you excited to contribute significantly to a burgeoning enterprise?
  • Keen to provide strategic insights that are essential to our triumph?
  • A collaborative force who flourishes in a team setting?
  • Brimming with energy and zest in everything you do?
  • Sincere, forthright, and constantly elevating your professional game?
  • Unwavering and tenacious in the face of challenges?
  • Skilled in managing sales funnels and crafting persuasive proposals?
  • A proven track record in generating leads and fostering partnerships, especially in Engineering or Consulting?
  • More than a thinker, you’re an innovator who spots the unseen.


If you’re affirming with enthusiasm, “That’s me!” we’re eager to engage with you! This is an extraordinary chance for a seasoned and vivacious Business Development Manager to make a significant mark within a dedicated, high-achieving, and swift-moving team.


At EES Solutions, we’re zealous about onboarding the perfect fit, offering adaptable work arrangements, training and career advancement, complemented by a comprehensive benefits package and a very generous bonus structure.


The Spirit of EES


We live by our values every single day, in everything we do. You won't find these values emblazoned on coffee mugs, and while they may eventually find a place on our office walls, their true essence lies in the fabric of our work culture. By being part of EES Solutions, you'll naturally embody these values in your everyday tasks. Essentially, they reflect our commitment to being decent human beings, treating everyone with respect and fairness.

  • People first:In everything we do, it’s truly that simple.
  • Nimble:We dance ahead of the curve.
  • Accountable:We never leave anyone waiting for our part of the job.
  • Collaborative:Achieving the extraordinary together.
  • Vim and Vigorous:Energised and unstoppable.


About the role


The ultimate goal is to drive the growth of our Engineering Consultancy Services. You will be the driving force behind our continued expansion, working directly with our Commercial Director and alongside our Bid Team Manager to ensure our strategies and services align with our growth objectives.


What would you be responsible for?

  • Spotting new business prospects and nurturing existing relationships
  • Promoting the company’s products/services and working with our clients to deliver seamless solutions
  • Strategizing and executing plans that align with our growth objectives
  • Collaborating with diverse teams to ensure seamless service delivery
  • Keeping your finger on the industry pulse, staying informed about market trends and competitors
  • Delivering commercial, hand-crafted, and compelling proposal solutions with our Bid Team Manager
  • Representing EES Solutions at industry events and networking opportunities
  • Tracking performance metrics and pivoting strategies as needed
  • Arranging business meetings with prospective clients
  • Managing the day-to-day sales pipeline activities, including updating sales, revenue, and invoice data
  • Providing trustworthy customer feedback at all stages of the sales process
  • Building long-term relationships with new and existing customers
  • Developing entry-level staff into valuable salespeople


Why would you want to join us?

  • It's actually a really fun place to work! We work hard but have a blast along the way. Join us for social gatherings and more.
  • Achieve on-target earnings of 150k.
  • 25 days holiday per year plus bank holidays and your birthday or a day of celebration off.
  • Your health truly matters to us – our Vitality health insurance has you covered, keeping you in tip-top shape, covering health, dental, and optical cover, as well as mental health support.
  • Life and Critical Illness cover – We provide comprehensive cover for not only life insurance but also critical illness cover.
  • Unlimited opportunity to grow and develop within a company that actively seeks to challenge you to grow and become the very best version of yourself.
  • An environment that truly puts people first and cares about you, your family, and your passion and interests.


Sound like fun and a fantastic opportunity? Then talk to us. The first stage is to have an informal conversation with you, to learn more about you and your experience and see if you would be a great fit for our role

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

Job-Hunting During Economic Uncertainty: Machine Learning Edition

Machine learning (ML) has firmly established itself as a crucial part of modern technology, powering everything from personalised recommendations and fraud detection to advanced robotics and predictive maintenance. Both start-ups and multinational corporations depend on machine learning engineers and data experts to gain a competitive edge via data-driven insights and automation. However, even this high-demand sector can experience a downturn when broader economic forces—such as global recessions, wavering investor confidence, or unforeseen financial events—lead to more selective hiring, stricter budgets, and lengthier recruitment cycles. For ML professionals, the result can be fewer available positions, more rivals applying for each role, or narrower project scopes. Nevertheless, the paradox is that organisations still require skilled ML practitioners to optimise operations, explore new revenue channels, and cope with fast-changing market conditions. This guide aims to help you adjust your job-hunting tactics to these challenges, so you can still secure a fulfilling position despite uncertain economic headwinds. We will cover: How market volatility influences machine learning recruitment and your subsequent steps. Effective strategies to distinguish yourself when the field becomes more discerning. Ways to showcase your technical and interpersonal skills with tangible business impact. Methods for maintaining morale and momentum throughout potentially protracted hiring processes. How www.machinelearningjobs.co.uk can direct you towards the right opportunities in machine learning. By sharpening your professional profile, aligning your abilities with in-demand areas, and engaging with a focused ML community, you can position yourself for success—even in challenging financial conditions.

Careers

How to Achieve Work-Life Balance in Machine Learning Jobs: Realistic Strategies and Mental Health Tips

Machine Learning (ML) has become a cornerstone of modern innovation, powering everything from personalised recommendation engines and chatbots to autonomous vehicles and advanced data analytics. With numerous industries integrating ML into their core operations, the demand for skilled professionals—such as ML engineers, research scientists, and data strategists—continues to surge. High salaries, cutting-edge projects, and rapid professional growth attract talent in droves, creating a vibrant yet intensely competitive sector. But the dynamism of this field can cut both ways. Along with fulfilling opportunities comes the pressure of tight deadlines, complex problem-solving, continuous learning curves, and high-stakes project deliverables. It’s a setting where many professionals ask themselves, “Is true work-life balance even possible?” When new algorithms emerge daily and stakeholder expectations soar, the line between healthy dedication and perpetual overwork can become alarmingly thin. This comprehensive guide aims to shed light on how to achieve a healthy work-life balance in Machine Learning roles. We’ll discuss the distinctive pressures ML professionals face, realistic approaches to managing workloads, strategies for safeguarding mental health, and how boundary-setting can be the difference between sustained career growth and burnout. Whether you’re just getting started or have been at the forefront of ML for years, these insights will empower you to excel without sacrificing your well-being.

Careers

Transitioning from Academia to the Machine Learning Industry: How PhDs and Researchers Can Thrive in Commercial ML Settings

Machine learning (ML) has rapidly evolved from an academic discipline into a cornerstone of commercial innovation. From personalising online content to accelerating drug discovery, machine learning technologies permeate nearly every sector, creating exciting career avenues for talented researchers. If you’re a PhD or academic scientist thinking about leaping into this dynamic field, you’re not alone. Companies are eager to recruit professionals with a strong foundation in algorithms, statistical methods, and domain-specific knowledge to build the intelligent products of tomorrow. This article explores the essential steps academics can take to transition into industry roles in machine learning. We’ll discuss the differences between academic and commercial research, the skill sets most in demand, and how to optimise your CV and interview strategy. You’ll also find tips on networking, developing a commercial mindset, and navigating common challenges as you pivot your career from the halls of academia to the ML-driven tech sector.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.