We deliver open source to the world faster, more securely and more cost effectively than any other company. We develop Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means 'humanity to others'​. We chose it because it embodies the generosity at the heart of open source, the new normal for platforms and innovation.
What your day will look like
- Lead the growth engineering team, a group of data analysts, performance marketers, lifecycle marketers and marketing automation specialists responsible for driving the best commercial results for Canonical through data and technology.
- Design, implement and operate Canonical marketing technology stack, a dozens of martech applications, from commercial applications (Marketo, Google Analytics, Leandata) to open source solutions (Superset, Kubeflow, WordPress).
- Own reporting and analytics throughout the customer lifecycle from ABM, Multi-Touch Attribution, funnel performance, acquisition costs and customer retention.
- Develop and track OKRs and conversion rates across the marketing and revenue funnels.
- Optimise lead scoring, lead flow and cadences to increase conversion rates across marketing and sales.
- Develop web analytics and SEO practices to sustain high levels of organic user and customer acquisition.
- Drive Return On Ad Spend optimisation through attribution methodologies, advanced targeting and channel exploration.
- Ensure marketing data cleanliness and completeness through data governance policies and management practices.
- Champion an experimentation culture by supporting the business with processes, tooling (A/B tests, MAB) and expertise.
- Collaborate with teams across marketing and throughout Canonical (Product, IS, Engineering, RevOps, Finance) to build data solutions to Go To Market problems.
- Support execution excellence in the marketing team through training, tools and documentation.
What we are looking for in you
- An undergraduate or postgraduate degree in data science, statistics, mathematics, computer science, or engineering , or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years.
- A strong analytical mindset with solid evidence of managing projects that drive commercial success.
- Knowledge in advanced marketing analytics (media mix modelling, cohort analysis, attribution models ), coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
- Exceptional management experience, leading analytical, creative professionals to excellence.
- Experience in selecting, implementing and managing a leading edge martech stack preferably built on open source software.
- A track record of building a culture of experimentation across the organisation.
- Advanced web analytics and SEO practices across website and SAAS products.
- Proven ability of collaborating with senior stakeholders across functions (sales, revenue operations, product, IS…) to turn strategic business and product questions into impactful analytic projects.
- Willingness to travel up to 2-4 times a year for internal events.
Additional Skills Of Interest
- Experience implementing ML generated predictive models for lead generation or customer retention purposes.
Method of Application
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