Marketing Operations Lead in Maidstone

Marketing Operations Lead in Maidstone

Maidstone Full-Time 45000 - 50000 £ / year (est.) No working from home possible
Marmion

At a Glance

  • Tasks: Lead marketing operations, optimise funnels, and drive AI-enhanced strategies.
  • Company: Dynamic memory and data storage supplier with a supportive culture.
  • Benefits: Competitive salary, company events, EV car scheme, and employee assistance programme.
  • Other info: Hybrid working available after initial office-based planning phase.
  • Why this job: Join a forward-thinking team and shape the future of marketing operations.
  • Qualifications: Experience in marketing operations and CRM systems, with strong analytical skills.

The predicted salary is between 45000 - 50000 £ per year.

Location: Maidstone

Working Style: Initially office based - Hybrid working (2 remote 3 office days per week)

Salary: £45,000 - £50,000 pa DOE

Client: Memory & Data Storage Supplier, Excellent Company Culture, Supportive Senior Leadership Team

Benefits: Company Events, Employee Assistance Programme, EV Car Scheme + More

Reporting into the Marketing Lead, the Marketing Operations Lead will sit at the intersection of strategy, technology, and analytics, with a focus on building a scalable, predictable operational engine behind marketing and sales performance through the CRM. Future plans include driving continuous improvement through AI and automation, working closely with the wider marketing team in planning, executing, and regularly reviewing go-to-market strategies.

Roles & Responsibilities:

  • Funnel & Marketing Operations: Own and optimise the end-to-end marketing funnel, from initial engagement through to sales handover.
  • Salesforce & Marketing Technology: Lead the optimisation and continuous improvement of marketing with Salesforce and the wider martech stack.
  • Campaign Operations & Attribution: Establish best practice for campaign setup, tracking and performance attribution.
  • Lead Management & Nurture: Design and implement lead scoring, qualification and nurture frameworks.
  • Marketing Automation & AI Enablement: Drive the implementation of marketing and workflow automation.
  • Data Quality & Governance: Embed high standards of data accuracy, integrity and compliance.
  • Reporting & Performance Insight: Build and implement reporting frameworks and dashboards.
  • Continuous Improvement & Strategic Projects: Act as a subject matter expert for marketing operations.

Skills & Experience:

  • Previous experience in Marketing Operations, Revenue Operations or CRM-led roles within a B2B environment.
  • Strong understanding of marketing funnels, lifecycle management and lead processes.
  • Hands-on experience with CRM platforms (e.g. Salesforce) and marketing technology ecosystems.
  • Confident working with data, reporting and attribution.
  • Highly process-driven with strong attention to detail.
  • Experience collaborating with cross-functional stakeholders.
  • Proactive and forward-thinking mindset, with an interest in AI tools and automation.
  • Live within a commutable distance to the office.

Due to the nature of our roles, candidates must be a UK resident and provide satisfactory evidence of your right to work for the company. We cannot offer visa sponsorship or future sponsorship for overseas candidates.

Marketing Operations Lead in Maidstone employer: Marmion

As a Marketing Operations Lead at our Maidstone location, you'll join a dynamic team within a company renowned for its excellent culture and supportive leadership. We offer a hybrid working model, competitive salary, and a range of benefits including company events and an EV car scheme, all designed to foster employee growth and well-being in a forward-thinking environment focused on innovation and continuous improvement.

Marmion

Contact Details:

Marmion Recruitment Team

We think you need these skills to ace Marketing Operations Lead in Maidstone

Marketing Operations
Revenue Operations
CRM Management
Salesforce
Marketing Technology
Campaign Tracking
Data Analysis