Account Executive

Dext
London
2 months ago
Applications closed

Related Jobs

View all jobs

PPC Account Manager

Genomic Data Scientist

Data Analyst, AFRS

Genomic Data Scientist

Lead Data Engineer, Data Reliability

Paid Search Lead

Who we are, what we do and why

We are Dext - the world's leading provider of accounting & bookkeeping automation software. Our products improve the efficiency and financial data workflow processes of accountants, bookkeepers, and businesses globally. We are trusted by over 1 million SMBs worldwide. Our solutions embrace AI, machine learning and emerging technologies to advance and improve the accounting process for all, to make accounting more effortless. 

The Account Executive will play a crucial role in expanding our partnerships with new business entities. The purpose of this role is to drive the growth of our partner network by identifying  potential partners. The role involves working closely with the SDR and Marketing team to generate revenue for the new business team  by converting qualified leads and Demos. An AE will be expected to work with the Head of New Business to align partnership strategies with overall business objectives.

 

The role - what you'll do:

  • Convert leads into new Dext customers
  • Develop & demonstrate consultative selling techniques
  • A drive to meet and exceed targets
  • Create a great first impression & provide a world class service
  • Self-sufficient, independent and highly motivated
  • Self generate a set number of Demos per month
  • Prospect via Zoom lists, Salesforce and LinkedIn/ Sales Nav



Goals & Objectives

  • Meet the targeted revenue goal each month.
  • Achieve the designated number of calls monthly.
  • Reach the specified email quota per month.
  • Attain the set number of self-generated demos monthly.



About you - what we are looking for:

Below are our ideal requirements, but we hire on potential, not just on experience, and we know that some people are less likely to apply for a role if they don’t meet 100% of the criteria. At Dext we are committed to cultivating a diverse, inclusive and empowering culture, so please apply if you meet the majority of these competencies. You can read more about our Diversity & Inclusion commitmentshere

Skills Requirements 

1. Relationship Building:

  • Rapport Establishment: Quickly build strong relationships with potential partners, creating a foundation for successful deal closure.
  • Negotiation Skills: Demonstrate strong interpersonal skills during negotiations, effectively addressing concerns and building consensus to close deals.
  • Closing Strategies: Employ effective closing strategies to secure agreements and commitments from potential partners.

2. Communication Skills:

  • Value Articulation: Clearly and persuasively articulate the unique value proposition of DEXT in a way that resonates with potential partners.
  • Active Listening: Listen attentively to potential partners to understand their needs and concerns, adapting communication strategies accordingly.
  • Internal Collaboration: Collaborate seamlessly with internal teams, ensuring a coordinated and unified approach in communicating the company's strengths and offerings.

3. Result Orientation:

  • Deal Closing Targets: Set and achieve targets for closing deals, ensuring they align with the company's revenue and growth objectives.
  • Problem-Solving: Demonstrate resilience and creativity in overcoming obstacles that may arise during the deal-closing process.
  • Continuous Improvement: Constantly seek ways to optimise the deal-closing process, enhancing efficiency and effectiveness.

4. Adaptability:

  • Agile Approach: Quickly adapt to changes in the business environment or shifting dynamics during deal negotiations, adjusting strategies to secure successful outcomes.
  • Innovative Deal Structures: Explore and propose innovative deal structures to address the unique needs and preferences of potential partners.
  • Learning Orientation: Stay abreast of industry trends and evolving best practices in deal closing, continuously refining skills and approaches.

Essentials

  • Applies knowledge of SaaS / tech to day-to-day roles.
  • Experience engaging with a wider range of stakeholders, tailoring your communication style accordingly
  • 3+ years of sales experience, with a history of exceeding targets




What you will be part of - our values, culture and behaviours:

We are a highly ambitious, innovative, market-leading FinTech. We are a global, Private Equity backed business (HgCapital), but we have the dexterity and pace of a scale-up. We are uncompromising in our desire to achieve our best, day-in day-out, and we have three clear values which guide everything we do:

Be Brave - Everyone in the company has a voice to challenge ideas and the status quo.

Be Exceptional - We set high standards for ourselves. We aim to be exceptional at what we do.

Be Together - We are one team. There is no such thing as individual success without team success.

Our behaviours are how we practically live and breathe our values and are an essential part of life at Dext. Our behaviours guide us, and inform the way in which we communicate, collaborate and support each other. They are:

Be Diverse, be Courageous, be Considerate, be Transparent, be Focused, be Accountable, and above all, be Dexterous!

Benefits

What we will give you - the perks:

  • A competitive salary;
  • Flexible working;
  • 25 days off plus bank holidays, volunteering days, summer hours and a day off the week of your birthday;
  • Employer-paid private medical insurance and health cash plan (Medicash - reloadable shopping cards, cinema ticket discounts, online discounts and more!);
  • Cycle to work scheme;
  • Payroll giving;
  • Income protection;
  • Mental health support through Help@Hand.

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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.