Sales Operations Director Sales · Manchester, London ·

Medius AB
London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Software Engineer

Data Scientist / Software Engineer

Senior Data Scientist - Generative AI

Senior Data Scientist II

Senior Data Scientist II

Data Scientist, EMEA

About Medius

Medius is a Swedish origin company & a leading global provider of cloud-based SaaS spend management solutions, helping organizations drive their business forward by enabling best-in-class process efficiency, cost-savings, and greater financial control.

Spend management doesn’t ring a bell? This term describes the process from placing an order through its delivery, verification, invoicing to its payment. Our products help companies at every step of the purchasing process, increasing their security and speeding it up. We use the latest advances in artificial intelligence (AI) and machine learning to automatically capture and process invoices.

If you are seeking a stimulating environment characterized by unparalleled momentum and rapid growth, look no further. Join us as we lead the charge in reshaping the future of spend management, setting new standards of excellence, and driving impactful change across industries.

For more info:www.medius.com

Job Overview:

The Director of Sales Operations is responsible for driving intense operational excellence and cadence, continuous improvement of sales productivity, sales performance execution, and quarterly/annual predictability, all while achieving revenue growth and profitability targets. This individual will directly support the EMEA Sales Leadership team, as well as collaborate on global sales operations initiatives. This individual will report to the SVP of Global Sales Operations. This position requires a strong technical aptitude and knowledge of business needs to support the objectives of the Sales Organization. This is a hands-on role without direct management responsibilities but with significant influence over the sales organization.

Primary performance goals include:

  • Provide operational thought leadership to both the team and supported sales leaders
  • Build effective relationships within regional and global sales, sales operations and controlling leadership teams
  • Drive “Operational Success” for the European sales teams
  • Identify inefficiencies in sales processes and reporting and drive simplification, improvements and global standards across the organization
  • Provide insight and direction on business system enhancements
  • Support the design and implementation of optimum sales territories
  • Provide end-to-end operational support for regional Business Area leadership, ensuring transparency on demand generation, pipeline, forecast, top deals, results and other KPIs
  • Support sales QBRs, quarterly forecast cycle and provide analysis and insight on key trends, risks and deviations.
  • Track and review pipeline situation, consolidate and communicate pipeline progression to key stakeholders
  • Prepare regular ad-hoc reports and analysis – proactively translating data into insights and decisions.
  • Ensure consistent high data quality in all relevant systems and flawless execution of all ongoing and ad-hoc activities within the agreed sales operations scope
  • Understand the business priorities and leverage tools and processes for execution – covering Demand Management, Deal Execution, Forecasting and Performance Management

Required Skills:

  • University degree
  • Executive-level communication skills
  • Strategic thinker with strong problem solving and hands-on analytical skills: Problem identification, data collection, thorough analysis, solution development, action planning and execution
  • Results Driven – confident, thrives on hard work and consistent challenge, and is quick on his/her feet
  • Team Oriented – builds strong relationships at every level of the organization and is a strong motivator who knows how to influence and motivate others to consistently do their best work.
  • Fast-Paced – thrives in a demanding, quick turnaround environment where change and ambiguity are daily realities
  • Thorough understanding of GTM models and sales processes
  • Change agent: Proactively drives operational efficiencies/effectiveness and identifies areas for improvement

Work Experience:

  • Minimum of 6 years’ experience in Sales Operations or related (Sales, Program Management, Finance, Consulting, Corporate Strategy).
  • Proven track record of successful project management within an international matrix environment
  • Expert level knowledge of internal reporting platforms, CRM and sales support (e.g. SFDC, DOMO)

#J-18808-Ljbffr

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.