Senior Manager, Solution Engineering

Salesforce, Inc.
Greater London
1 week ago
Create job alert

SE Senior Manager Solution Engineering / Pre-Sales

  • As a Manager, Solution Engineering you will work closely with the Sales Leaders and the Sales team to drive growth, and take a strategic view to get us to the next stage of our journey.
  • The successful candidate will be a key member of the Solution Engineering Leadership Team. You will have a breadth and depth of experience managing teams, to drive transformational change and build engagement at CXO level.
  • You will have exceptional leadership, communication, strategic, analytical, and consulting skills. Additionally, you will have a track record of success in the following areas:
  • Internal and external stakeholder management.
  • C level relationships and the ability to translate these into revenue.
  • Transformational thinker and leader taking the business to the next level through disruptive thinking and innovation.
  • People and organisational leadership.


Responsibilities:

  • Experience managing a deeply skilled, diverse Solution Engineering team to capture share in a rapidly evolving market.
  • Manage and grow the Solution engineering team ensuring we continue to hire and retain top talent in the market.
  • Experience driving and scaling success in large, complex selling organizations.
  • Partner with Sales leadership to support commercial deals, as well as sign new logos.
  • Focus on innovation- ensure the team is constantly innovating in their approach to solution selling.
  • Build and nurture C-level relationships across key accounts to solidify our partnership and commitment to the customer.
  • Drive deep Customer Engagement through influencing the customers broader IT strategy.
  • Work closely with the Sales organization to develop and execute growth plans to drive our strategic vision.
  • Hire world class talent and manage performance to ensure career growth opportunities and effective succession planning.
  • Embody Salesforce values and provide exemplary leadership.


Experience/Skills Required:

  • 5+ years in leadership roles, especially in Solution Engineering / Pre-Sales.
  • Strong understanding of business processes and their implementation into enterprise applications
  • Knowledge of industry-specific use cases, data architectures, and integration patterns.
  • Gifted storyteller able to engage diverse audiences up to C-level executive.
  • Persuasive verbal, written, presentation and interpersonal communication skills that influence change in large organizations. Passion for technology and innovation, and a proven “forward thinker”.
  • Ability to evaluate and develop the existing teams and reshape it as necessary while mentoring and inspiring the team.
  • Strong understanding of Cloud Computing and the business benefit.
  • Ability to quickly grasp and distinctly explain technological and business concepts.
  • Technical expertise in any of the following technologies: Customer Relationship Management (CRM) especially in Customer Service and Field Services applications, Loyalty Management, Analytics and Real-time Personalisation and Interaction Management (RTIM).
  • Existing knowledge around Salesforce Service and Field Service represent an advantage.
  • Fluency in English

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Manager - Data & AI Engineering

Data Engineer, Manager

Senior Analytics Manager - Wise Platform for Banks

(Apply Now) Senior Product Manager

Data Engineering Manager

Data Engineering Manager, Newport, CA

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.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.