Head of Marketing Technology Solutions - HubSpot centric

At Basware, we’re transforming how enterprises manage their invoice lifecycle. As the global leader in Invoice Lifecycle Management, we help businesses streamline invoicing processes, ensure compliance, prevent fraud, and optimize cash flow. Our mission is to empower organizations with full control over their invoice ecosystem—ensuring that only reconciled and approved supplier invoices are paid.

We are seeking an experienced visionary Marketing Technology Leader (Hub Spot centric) with deep expertise in Hub Spot to act as both a hands‑on architect and strategic advisor
. This role is designed to accelerate the impact of our existing Hub Spot team by bringing in advanced expertise, change and innovation champion, helping to scale best practices, and embedding long‑term capability across optimizing campaigns, lead management, automation, reporting, data strategy and platform usage while ensuring strong alignment with Marketing, IT and Sales. The role will ensure Hub Spot integrates effectively with Salesforce and other business systems.

• Act as the Hub Spot platform architect and subject matter expert, providing hands‑on support where needed while accelerating delivery through best practice and strategic guidance.
• Own Mar Tech strategy, identifying opportunities to improve scalability, performance, and alignment across Marketing, Sales, Rev Ops, and IT.
• Define and maintain scalable data architecture and governance frameworks across Hub Spot, Salesforce and connected systems (Linked In, Lusha, D&B, Cognism, Zoominfo etc), ensuring clear system‑of‑record definitions, consistent lifecycle modelling, and reliable attribution reporting.
• Define and optimise lifecycle stage frameworks, lead management processes, and routing logic to ensure alignment between Marketing, Sales, and Rev Ops, while maintaining accurate attribution and reporting integrity.
• Partner with Marketing leadership to design and ope rationalise scalable attribution and funnel measurement frameworks aligned to Rev Ops definitions (e.g., MQL → S2 → Closed Won), ensuring consistency between Hub Spot, Salesforce, and executive reporting.
• Architect and optimise integrations using APIs, middleware, and native connectors, ensuring scalable and reliable data flows across Hub Spot, Salesforce, and wider Mar Tech ecosystem.
• Identify and implement automation opportunities across marketing operations to improve efficiency, scalability, and performance.
• Support the Marketing and Web teams on Hub Spot CMS architecture and optimisation (templates, modular content structures, SEO performance, analytics), ensuring scalable and reusable design patterns.
• Partner with Marketing and Web teams to ensure Hub Spot content structures support AI‑driven discovery (e.g. semantic structure, structured content models, conversational query optimisation, and alignment with evolving search behaviours across AI assistants and generative search platforms).
• Advise on the use of AI/LLM and wider digital tools to accelerate content creation, personalisation, optimisation, and operational efficiency.
• Drive the integration of AI tools with and within Hub Spot, supporting evolving ways of working and improving productivity.
• Establish change control processes, platform governance guardrails, and documentation standards to ensure scalable and controlled evolution of the Hub Spot environment.
• Create training, documentation, and playbooks to support consistent and effective Hub Spot usage.
• Upskill the existing internal IT and Marketing teams, embedding knowledge and building long‑term internal capability.
• Provide expert troubleshooting support, ensuring timely resolution of technical issues and minimising platform disruption.

• 8+ years in Marketing Technology, Revenue Operations, or related IT roles.
• Expert Hub Spot experience (mandatory, certification preferred).
• Experience managing complex Hub Spot ↔ Salesforce sync environments.
• Hands‑on experience integrating Hub Spot with CRM systems (ideally Salesforce).
• Experience designing scalable data models and lifecycle frameworks.
• Strong understanding of B2B funnel architecture and pipeline attribution.
• Experience…