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

Nominate & Attend

RVP, Enterprise Sales

Pendo
London
3 months ago
Applications closed

Pendo is looking for an RVP, Enterprise Sales, EMEA. A great candidate will be a results/action-oriented, collaborative, empathetic servant leader who will drive excellence in execution while building the foundation for growth in enterprise accounts. Your team's sole focus will be to break into Pendo's largest net new accounts and bring them onto the Pendo platform.

Reporting to the MD EMEA, this RVP will manage and scale a team of high-performing Enterprise Account Directors in EMEA.

This leader should have experience hiring, managing, and developing a team focused on acquiring enterprise accounts across verticals and geographic locations. In your role, you will work closely with Marketing, Product, and Customer Success.

Role Responsibilities

  • Attract, select, onboard, develop, coach, motivate, promote, and effectively manage a team of Enterprise Account Executives
  • Define and execute strategies required to grow new sales in Enterprise accounts sustainably
  • Enable the team to proactively prospect, identify, qualify, and develop pipeline
  • Ensure internal cross-functional collaboration to drive customer satisfaction in Enterprise accounts
  • Strategically analyze industry trends and performance metrics to drive execution and accelerate results
  • Drive excellence in sales execution by leveraging the Pendo Value Framework
  • Effectively develop and monitor accurate Enterprise sales forecast


Minimum Qualifications

  • 4+ years experience building and managing a high-performing sales team selling to Enterprise clients
  • 7+ years of experience selling enterprise SaaS technology in a fast-paced environment.
  • Experience building an Enterprise businesses from the ground up is a must
  • Track record of overachievement
  • Must possess excellent value-based sales methodology and a high aptitude to collaborate in a decentralized environment.
  • Must demonstrate ability to adapt and lead in a fast-changing environment


Preferred Qualifications

  • MEDDPICC and/or Force Management Methodology preferred
  • Willingness to learn in a high-paced sales environment
  • Technical or Product Management background


Pendo Description:

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers -- a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software.

Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. You will gain experience in a diverse and exciting set of technologies and clients and have a real impact on Pendo's future. Our culture is passionate, dynamic, and fun.

EEOC

We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility

Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: . All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Compensation

Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.

The expected salary range for this role in London, UK is ��240,000 - £300,000 OTE

Individual pay rate decisions, including offers made within and over the expected salary range, are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.