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⚡ Source: ReedRef: 56800151

Demand Generation Specialist

Moxie and Mettle Limited·Bristol·Posted 2 weeks ago
🏠 Hybrid💰 65-70k GBP/year⭐ Senior
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Job description

Original text imported from Reed

Lead Generation - GTM specialist - Growth Marketing

Hybrid - Bristol (3+ days per week in the office, 2 remote)

£65,000 to £70,000 base salary + benefits + discretionary bonus

You will combine marketing technology, CRM data, targeted campaigns and strong content to generate high-quality marketing qualified leads (MQLs) and support sales opportunities through the pipeline.

The role reports into senior leadership and works closely with sales and customer success teams

Skills & Experience

  • Strong experience with HubSpot Marketing Hub
  • Demonstrated ability using AI tools, marketing automation, integrations and campaign tracking
  • Experience with SEO, landing pages, analytics and marketing dashboards
  • Strategically aware but fundamentally hands-on and execution-focused
  • Can work with complex B2B markets or longer sales cycles
  • Experience working in professional services or subscription-based product

If you’re a data-driven B2B, GTM professional who enjoys building campaigns, optimising systems and driving measurable growth, we’d love to hear from you.

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Key skills

AI-extracted from the job advert

Must-have skills
HubSpot Marketing HubMarketing automationAI marketing toolsCampaign trackingSEOLanding pagesAnalyticsMarketing dashboardsB2B marketing experience
Nice-to-have
Professional services experienceSubscription-based product marketingComplex B2B marketsLong sales cycle experience
Soft skills
Data-driven decision makingStrategic thinkingExecution focusCross-functional collaborationAnalytical mindset
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight your HubSpot Marketing Hub expertise prominently as this is explicitly mentioned as a key requirement

2

📊 Quantify your MQL generation results: "Generated 450 MQLs monthly, improving sales pipeline by 35%"

3

🤖 Showcase specific AI marketing tools you've used for campaign optimisation and automation

4

🎯 Emphasise your B2B experience with complex sales cycles or professional services background

5

🔗 Detail your marketing technology stack integration experience beyond HubSpot

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Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Implemented HubSpot Marketing Hub automation workflows generating 380 MQLs monthly, increasing sales pipeline value by 42% within 6 months
  • Optimised 12 B2B landing pages using AI-powered testing tools, achieving 28% conversion rate improvement and £180k additional pipeline value
  • Integrated HubSpot with Salesforce and 5 marketing tools, reducing lead processing time from 48 hours to 2 hours while improving data accuracy by 35%

Free to copy — tailoring requires a 30-sec CV upload.

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Letter preview — tailored to Moxie and Mettle Limited

Dear Hiring Manager,

Moxie and Mettle Limited's focus on data-driven B2B growth through HubSpot Marketing Hub and AI-powered campaign optimisation aligns perfectly with my demand generation expertise. My experience in marketing automation and MQL generation, combined with hands-on execution skills, makes me an ideal candidate for this Demand Generation Specialist role.

My background in B2B marketing automation and CRM integration has consistently delivered measurable results in lead quality and pipeline acceleration. I have successfully managed complex campaigns across professional services sectors, utilising advanced analytics and marketing technology stacks to optimise conversion rates and support sales teams through longer sales cycles.

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Interview questions

10 questions generated from this advert.

Technical

  • How would you set up lead scoring in HubSpot Marketing Hub for a B2B SaaS company?
  • Walk me through your process for optimising landing page conversion rates
  • What AI tools have you used for marketing automation and how did they impact performance?
  • How do you integrate HubSpot with other marketing tools in a tech stack?
  • Describe your approach to setting up campaign tracking and attribution models

Behavioural

  • Tell me about a time you had to improve underperforming MQL generation
  • Describe a situation where you had to work closely with sales to optimise the lead handoff process
  • Give an example of how you've used data to influence marketing strategy decisions
  • Tell me about a complex B2B campaign you managed from start to finish
  • Describe a time when you had to balance strategic planning with hands-on execution
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time you had to improve underperforming MQL generation

Situation: Our B2B SaaS client was generating only 180 MQLs monthly against a target of 350, with poor lead quality causing sales team frustration. Task: I needed to diagnose the issues and implement improvements within 8 weeks. Action: I analysed the HubSpot data and discovered 65% of leads weren't properly scored, and our landing pages had 12% conversion rates. I rebuilt the lead scoring model, created 6 new targeted landing pages, and implemented AI-powered content personalisation. I also set up automated nurture sequences for different buyer personas. Result: Within 10 weeks, we achieved 420 MQLs monthly with 38% higher lead-to-opportunity conversion, generating £240k additional pipeline value.
2Question

Describe a situation where you had to work closely with sales to optimise the lead handoff process

Situation: The sales team was complaining that 40% of marketing leads were unqualified, causing tension between departments and wasted time on poor prospects. Task: I needed to align marketing and sales on lead quality definitions and improve the handoff process. Action: I organised weekly alignment meetings with the sales director and 3 account executives to define ideal customer profiles. We implemented a new lead scoring system in HubSpot with 15 qualification criteria, created automated alerts for hot leads, and established a feedback loop where sales could mark leads as good or poor quality. I also built a dashboard showing lead source performance and conversion rates. Result: Lead quality improved by 55% within 12 weeks, sales accepted 85% of marketing leads compared to 60% previously, and pipeline velocity increased by 28 days shorter sales cycles.

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