We're looking for a GTM Sales Engineer and AI Automation Specialist to build and scale the systems that power our go-to-market engine.

This is a hands-on role for someone who understands AI, modern sales technology, revenue operations, and the rapidly evolving AI landscape. You will sit at the intersection of sales, engineering and RevOps, working with our global Sales and Marketing functions, and reporting to our CRO.

You'll be responsible for designing and implementing the tools, workflows, automations, and intelligence systems that help our teams identify the right accounts, prioritize opportunities, and engage prospects and leads more effectively.

Rather than relying on sales reps to manually research accounts and determine where to focus their time, you'll build the underlying systems that continuously analyze data, surface opportunities, and automate decision-making across the customer lifecycle.

Key Responsibilities

Sales Automation & Revenue Operations

• Design and build automated sales workflows that identify, prioritise, route prospect and lead opportunities based on account signals and revenue data.
• Create systems that determine which accounts should be engaged, then they should be engaged and why they matter
• Leverage AI at the centre of our operation to support Sales Reps outbound activity
• Automate repetitive operational processes across the revenue organisation
• Improve forecasting, pipeline management, and lifecycle visibility through scalable systems and automation

Systems & Workflows

• Own and optimise the go-to-market technology stack across Sales
• Design integrations and workflows that ensure data moves seamlessly between systems
• Build automated processes that eliminate manual handoffs
• Evaluate and implement new technologies that improve productivity and scalability

Revenue Intelligence & Data Operations

• Develop systems that combine customer, account, and behavioural data to generate actionable insights
• Implement automated enrichment, segmentation, and account monitoring processes
• Build reporting frameworks and operational dashboards that improve decision-making
• Improve data quality, governance, and visibility across the revenue organisation

Cross-Functional Enablement

• Partner with Sales leaders to understand operational challenges and identify automation opportunities
• Help the sales team adopt new systems, workflows, and best practices
• Serve as a subject matter expert on modern RevOps, sales automation, and AI-powered workflow design

What Success Looks Like

In this role, success means:

• Building automated systems that consistently identify and prioritize the highest-value accounts and opportunities
• Reducing the amount of manual research and administrative work required from sales teams
• Creating workflows that automatically surface the right accounts, contacts, and actions at the right time
• Improving pipeline quality, forecasting accuracy, and revenue visibility
• Connecting data to create a unified view of the customer journey
• Leveraging AI-powered tools and data signals to improve targeting, qualification, engagement, and expansion efforts

Key Skills and Experience 

• You have strong AI skills, with an “AI first” mindset, and know how to increase efficiencies through the use of AI for yourself and for sales teams
• You understand the broad sales stack ecosystem and know how to evaluate what works best for different GTM use cases
• You have worked in Revenue Operations, GTM Systems, Sales Automation, AI Operations, GTM Engineering or similar role within a B2B SaaS environment
• Strong understanding of modern GTM technology ecosystems, CRM architecture, systems integration, and revenue operations best practices
• Hands-on experience building AI-powered automation workflows using platforms such as Clay, n8n, Make, Zapier, OpenAI, Anthropic, and AI agent frameworks
• Advanced proficiency with tools including HubSpot, Salesforce, Outreach, Salesloft, Apollo, 6sense, Segment, Gong, and related sales and data platforms
• Experience designing and managing autonomous signal-to-outreach pipelines and lifecycle automation
• Strong analytical and systems-thinking capability with the ability to architect scalable operational processes and improve forecasting, pipeline visibility, and GTM performance
• Skilled in leveraging data to drive account prioritisation, personalization, and revenue insights
• Builder mindset with strong problem-solving capability, stakeholder communication skills, and a passion for operational efficiency
• Bonus: Experience with ABM frameworks, technographic tools, custom scripting (Python or JavaScript), and advanced Clay workflow development
  

Why This Role Matters to us:

This role is foundational to how we scale.

You’ll help build the operational backbone of the GTM team, designing the AI-powered systems and workflows that allow us to move faster and operate smarter.

Our sales team is experienced and relationship-driven. The gap is systematic signal intelligence and automation. You’ll build the engine that knows which accounts to prioritise and when to engage. 

If you’re excited by AI, obsessed with systems, and passionate about building the future of GTM operations, we’d love to hear from you.

About Squiz 

Squiz helps complex, service-led organisations harness the power of digital, improving the services they offer online. 

Founded in 1998, Squiz grew during the rise of the internet. Since then, we have evolved from a simple web content management system into a full digital experience platform (DXP), helping customers make the shift from being content managers to experience creators.

The Squiz DXP brings together content, search, data and applications in one place. To get the most out of the platform, customers can collaborate with our digital experts to design solutions and adapt as demands change.  

We are headquartered in Australia, with teams and customers across the globe, and offices in New Zealand, the United States, the United Kingdom and Poland.