If you are considering a career as a Vice President of Growth or looking to hire a candidate for this role, this comprehensive guide will provide you with the essential information you need.
We cover everything from the key responsibilities of a Vice President of Growth, the required skills, salary expectations and what employers are looking for today.
If you’re an employer looking to recruit a Vice President of Growth, please see our marketing recruitment page or contact us today.
In a scaling tech organisation, a Vice President of Growth is a crucial role. The VP Growth is responsible for creating strategies to accelerate the company’s expansion and market reach. This senior executive typically oversees a wide range of functions, including marketing, sales, partnerships, and product development, all with the overarching objective of driving sustainable growth.
A Vice President of Growth should create and implement initiatives to identify new market opportunities, using data-driven insights and market trends to make decisions. For instance, they might analyse user behaviour patterns to improve product features or collaborate with the product team to introduce innovations that resonate with target audiences.
A VP of Growth, specifically in scaling tech company, is deeply involved in refining customer acquisition and retention strategies. They may lead efforts to optimise the user experience, streamline the sales funnel, and enhance customer engagement through personalised marketing campaigns and targeted outreach.
Another key part of a VP Growth role is strategic partnerships, particularly with platforms to expand the company’s market presence and access new customer segments.
These technical skills, combined with strategic leadership, analytical acumen, and business acumen, enable Vice Presidents of Growth to effectively drive sustainable growth and competitive advantage for their business in the tech industry:
Data analytics
Advanced skills in data analysis tools and techniques is essential for interpreting complex datasets, deriving actionable insights, and making data-driven decisions to inform growth strategies. This includes expertise in statistical analysis, data visualisation, and predictive modelling.
MarTech stack
In-depth knowledge of marketing automation platforms, CRM systems, and other marketing technology tools is crucial for leading multi-channel marketing campaigns, tracking customer interactions, and improving marketing performance metrics.
Customer Relationship Management (CRM)
Experience in CRM platforms such as Salesforce, HubSpot, or Marketo is necessary for managing customer relationships, tracking sales pipelines, and implementing targeted marketing and sales initiatives to drive customer acquisition and retention.
Product analytics
Use of product analytics tools like Amplitude, Mixpanel, or Google Analytics is important for monitoring user behaviour, tracking product usage metrics, and identifying opportunities to improve the product experience and drive user engagement and retention.
Search Engine Optimisation (SEO)
Understanding of SEO principles and techniques is essential for creating relevant website content, improving search engine rankings, and driving organic traffic.
Conversion Rate Optimisation (CRO):
Proficiency in CRO methodologies and tools is important for optimising conversion funnels, improving website usability, and maximising conversion rates across various marketing channels.
A/B testing and experimentation:
Experience with A/B testing platforms like Optimizely or Google Optimize is valuable for designing and executing controlled experiments to validate hypotheses, optimise marketing campaigns, and improve user experiences.
User Experience (UX) design
Familiarity with UX design principles and tools is beneficial for collaborating with product teams to enhance the user experience, enhance user interfaces, and drive user engagement and retention.
Content Management Systems (CMS)
Knowledge of CMS platforms such as WordPress, Drupal, or Squarespace is useful for managing website content, content for search engines and user engagement.
Marketing attribution modelling
Understanding of marketing attribution models and methodologies is important for accurately attributing revenue and conversions to marketing campaigns, channels, and touchpoints, enabling data-driven decision-making and optimisation of marketing investments.