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Growth Marketing Manager

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: iwoca
Full Time position
Listed on 2026-05-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

About iWoca

Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are. That’s why we built iwoca. Our smart technology, data science and five‑star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it’s needed.

We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.

The

role

This is a high‑impact, multi‑channel role where you’ll work across Paid Search, Direct Mail and emerging digital platforms/trends to drive acquisition growth  won’t be managing a single channel in isolation. You’ll be helping automate operations, challenge model outputs, launch new products, and push into new ad formats across three interconnected areas. The thread connecting everything: using AI and automation to do more, faster, with better judgment.

Paid

Search
  • Account Management & Hygiene: Launch, optimise and scale campaigns across Google Search, Performance Max, You Tube and Demand Gen. Keep accounts healthy, consolidate and grow by building agents for repetitive hygiene work (negatives, quality‑score triage, consolidation). Spend your own time on non‑obvious calls.
  • Performance Insight: Build agent‑driven monitoring and reporting to spot issues and opportunities faster than a human eyeballing dashboards (keywords, landing pages, search terms, creative assets). Turn data into decisions: which campaigns to scale, kill, restructure. Report channel performance to stakeholders regularly using both in‑platform and internal funnel data.
  • Testing & New Opportunities: Analyse performance data to deliver actionable insights and support ideas for testing and optimisation based on clear hypotheses (landing‑page engagement metrics, keyword themes with lower conversion rate, under‑performing creative assets). Evolve search strategy for emerging AI search behaviour (AI Overviews, AI Mode Ads). Prepare for new search ad opportunities across ChatGPT and other AI tools.
Direct Mail
  • Automation & Operations: Find and implement new ways to automate the operational handling of the mail channel—campaign coordination, lead delivery, agency and unsubscribe processing.
  • Agency Relationship & Mailing: Manage agency relationship and coordinate monthly mailing rounds (200–400 k letters). Monitor tracking set‑up and attribution (QR codes, mail codes, UTMs into Looker/GA4).
  • Product Expansion: Coordinate with product launch teams on go‑to‑market channel strategy, including creative, data and measurement.
  • Model Optimisation

    Collaboration:

    Work with data science to monitor, refine and channel the performance of models powering lead selection. Interrogate predictions vs. actuals, flag divergence, push back on assumptions. Translate outputs into operational decisions: which percentile to mail, what ROI threshold to use, when to pause or expand.
Cross‑Channel
  • Identify audience overlaps between mail and paid search segments.
  • Support multi‑channel attribution and contribute to iwoca’s broader acquisition strategy.
Requirements Essential
  • AI‑native: You use AI tools daily to solve real problems—automating workflows, processing data, building things; not just prompting for copy.
  • High initiative: You see a manual process and instinctively ask “why isn’t this automated?” You act before being asked.
  • Strong critical thinking: You can interrogate data, challenge assumptions, and push back on conclusions that don’t add up.
  • Intellectually curious: Excited by unfamiliar domains. You’ll need to learn mail operations, causal modelling, credit card mechanics and emerging search formats—fast.
  • Data‑fluent: A data‑driven mindset with the ability to interpret complex data, model outputs and translate into actionable recommendations.
  • Commercially minded: You understand…
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