Staff Growth Marketing Manager - AI Native & Paid Media
London, United Kingdom1mo ago
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Key details
- Location
- London, United Kingdom
- Work style
- Hybrid
- Level
- Lead / Staff+
- Job type
- Full-time
- Function
- Marketing & Communications
- Focus area
- other
- Posted
- 1mo ago
Skills
About the role
Intuit is a global fintech company and the maker of QuickBooks, powering prosperity for millions of small and mid-market businesses worldwide. Our teams sit at the intersection of data, technology and customer obsession, using AI, automation and experimentation to drive real commercial outcomes at scale.
Paid search is a core commercial growth engine for QuickBooks. We are looking for a hands-on paid search specialist to own the strategy, performance and AI-enabled operating model of our search programme across Google, Microsoft Ads and other search platforms, for UK, EMEA and Wider World.
This role combines deep PPC craft with an AI-native way of working. You will set the direction for the programme, and you will also build the agents and workflows that remove manual effort from it: query mining, ad copy generation and QA, anomaly detection, reporting, and test analysis. You will work with our internal teams to set-up, manage and optimize campaigns with AI agents, and you will ship automation yourself rather than waiting for it to be built for you. This is not a pure strategist role and not a developer role. It sits in between.
This is a hybrid role based in our London office, 3 days a week.
Responsibilities
Own paid search performance and strategy
Own the direction, priorities and results of the QuickBooks paid search programme, with clear targets for incremental subscription volume and value, cost efficiency and SKU mix.
Build and maintain a paid search roadmap that links every initiative to a commercial outcome, with a clear test agenda covering what, why, in what order and what we expect.
Drive account structure, keyword and audience strategy, bidding approach and budget allocation across brand, non-brand and competitor activity.
Evaluate and adopt platform AI (Smart Bidding, Performance Max, AI Max, Demand Gen, broad match and similar) with a clear point of view on when to use it, where to constrain it, and how to measure its true incremental impact.
Run structured tests on bidding, creative, audiences and write up the commercial impact of each one, separating performance effects from demand effects.
Build AI workflows and agents to improve how we work
Identify the manual processes in paid search and replace them with AI-enabled workflows. Examples include search term analysis, quarterly and annual planning, negative keyword mining, ad copy generation and compliance checks, campaign QA, budget pacing alerts and weekly performance narratives.
Build and maintain agents and reusable workflows using tools such as Claude, MD skill instruction files, scripts and platform APIs, with human review built in where judgement or brand and compliance risk is involved.
Define how success is measured for each workflow, such as hours saved, error rates, speed to test and performance uplift, and share what works across the wider team.
Set standards for responsible AI use in paid media, including quality checks, data handling and claim accuracy for a regulated financial and accounting category.
Work across teams and partners
Act as the link between internal stakeholders (Marketing, Product, Web, Analytics, Media and SEO) and partners, giving clear direction and holding a high bar on quality and delivery.
Coordinate with SEO so paid and organic search work together and avoid overlap or gaps.
Work with the web and CRO teams on landing page testing, conversion tracking and audience segmentation, so the search journey holds up from click to purchase.
Bring new product launches and SKU updates to life in search, with launch-ready campaigns, copy and landing experiences from day one.
Communicate plans, results, pivots and risks clearly to leadership, turning complex PPC metrics into clear business implications.
Run competitive research and bring forward-looking recommendations.
Qualifications
Significant hands-on PPC experience (typically 7+ years) across Google Ads and Microsoft Ads, ideally with SA360 or an equivalent bid and campaign management platform.
Proven record of owning paid search strategy and execution end to end, including bid strategy, keyword and match type strategy, ad copy, quality optimisation and A/B testing.
Demonstrable experience building AI workflows or agents that improved a paid search process, and the ability to walk through what you built, how it works and the result.
Working knowledge of AI tools for prototyping and automation (Claude or equivalent, GitHub, Figma or similar) and comfort with scripts, APIs or no-code automation.
Strong analytical skills: confident working from raw data in tools such as Google Ads, SA360, GA4 or Adobe Analytics, and building dashboards and a clear impact narrative.
Ability to prioritise by commercial impact, with a sound approach to sizing opportunities and sequencing a roadmap.
Clear communication, written and verbal, with the ability to explain technical PPC and AI concepts to non-specialist stakeholders and to influence without direct authority.
Comfortable with ambiguity and changing priorities, with good judgement and strong ownership.
Nice to have
Experience across multiple markets or regions, particularly UK and EMEA.
Background in SaaS, fintech or digital-first subscription businesses.
Exposure to SMB segments (accounting, payroll, accountant funnels).
Experience with programmatic or other paid channels alongside search.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.