Canonical has provided developers with open source solutions since 2004, helping them build innovations such as public cloud, machine learning, robotics, or blockchain. Marketing at Canonical means being at the forefront of technology adoption, for our customers and for our own martech stack. We're on the lookout for a Head of Growth to join our team and execute on our growth hacking strategy. As a team, we are interested in technology adoption patterns, the respect of visitors' data, and the use of open source in marketing.
The ideal candidate is passionate about technology, technology marketing, and the use of technology in marketing. You will prefer to work in an environment that emphasizes ownership, collaboration, learning, curiosity, and a drive to continually improve oneself, the team, and the organization. You will also love to problem solve, get hands-on, experiment, measure, and use automation to make daily life easier.
The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships, and community development. If these things are important to you and you're motivated by driving growth, delighting customers, and filling the sales funnel, we want to talk with you.
This role reports to the VP of Marketing.
Location: Our company largely works from home; this role can be based in the Europe, Middle East, and Africa time zones.
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's marketing technology stack, a dozen 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.
Optimize 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 optimization 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 modeling, 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 organization.
Advanced web analytics and SEO practices across website and SAAS products.
Proven ability to collaborate 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.
What we offer you We consider geographical location, experience, and performance when shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven commission structure. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Fully remote working environment - we've been working remotely since 2004!
Personal learning and development budget of 2,000 USD per annum.
Annual compensation review.
Recognition rewards.
Annual holiday leave.
Parental Leave.
Employee Assistance Programme.
Opportunity to travel to new locations to meet colleagues at 'sprints'.
Priority Pass for travel and travel upgrades for long-haul company events.
About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT, and the cloud, we are changing the world daily. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
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