Accountabilities:

Define and execute product growth strategy: Own the overall product growth vision and roadmap, identifying opportunities to increase customer acquisition, activation, adoption, retention, and revenue across the platform.
Orchestrate hybrid growth strategies: Partner closely with Sales to develop and optimize the product-led and sales-assisted growth model. Identify product usage signals that indicate when customers are ready for sales engagement and translate these insights into actionable playbooks that generate qualified pipeline.
Drive customer activation: Design and optimize in-product experiences that help new customers reach value quickly, reduce friction during onboarding, and improve time-to-value.
Accelerate customer expansion: Develop product-led expansion strategies and engagement loops that encourage deeper adoption, increased product usage, and stronger multi-product retention across the customer base.
Grow self-service revenue: Lead the self-service growth strategy across transactional and subscription-based products, with a particular focus on measurement solutions, subscription upgrades, and seamless in-product purchasing experiences.
Lead cross-functional teams: Manage and develop a multidisciplinary Growth team spanning Engineering, Design, and Data Science, with direct leadership responsibility for a Principal Product Manager.
Build an experimentation culture: Establish a fast-paced, data-driven approach to product experimentation, enabling teams to test ideas, measure results, learn quickly, and continuously improve customer experiences.
Own growth metrics and performance: Define, monitor, and report on key performance indicators, including activation rates, product adoption, expansion revenue, and net revenue retention (NRR).
Leverage data and customer insights: Use product analytics, customer research, and behavioural data to identify growth opportunities, understand customer friction, and inform strategic decisions.
Scale AI-powered products: Support the expansion of AI-driven product offerings by identifying opportunities to improve customer engagement, adoption, and monetization.
Collaborate with executive leadership: Work closely with the Chief Product Officer and other senior stakeholders to align growth priorities with broader business objectives and deliver measurable commercial impact.
Optimize growth across revenue models: Balance transactional and recurring revenue strategies while improving conversion, monetization, customer lifetime value, and long-term retention.

Requirements

8–12+ years of product growth experience within B2B SaaS organizations, with a strong track record of developing and executing successful product-led growth strategies. Experience in vertical SaaS is a significant advantage.
Demonstrated experience building and scaling hybrid product-led and sales-led growth models, with a practical understanding of how to align self-service customer journeys with sales-assisted acquisition and expansion.
Strong expertise in customer activation, product adoption, and expansion strategies, including designing user journeys that improve time-to-value, engagement, and long-term retention.
Experience managing both transactional and subscription-based revenue models, with a solid understanding of conversion optimization, monetization, and recurring revenue growth.
Proven ability to lead product growth initiatives and manage strategic roadmaps that deliver measurable business results.
Strong experimentation capabilities, including designing, launching, and evaluating product experiments, defining success criteria, and making data-driven decisions in fast-moving environments.
Excellent understanding of product growth metrics, including activation rates, adoption, expansion revenue, customer retention, and net revenue retention (NRR).
Strong analytical skills and the ability to independently investigate product performance, interpret data, and translate findings into actionable growth strategies.
Experience with product analytics and CRM platforms such as Amplitude, HubSpot, Snowflake, or comparable analytics and data warehouse solutions.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

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