GTM Engineer focused on hands-on GTM engineering and operational support for a healthcare AI company. Delivering optimised workflows and collaborating with sales and success teams.
Responsibilities
Build and maintain CRM workflows, automations, and data structures in alignment with global RevOps standards.
Implement and manage regional data enrichment programs to surface actionable insights for Pre-Sales, Sales, and Customer Success teams.
Adapt and operationalise AI tooling (copilots, scoring, prioritisation models, automated summaries, qualification signals).
Maintain and optimize lead routing, notifications, task automation, field structures, and lifecycle processes.
Ensure CRM data structures and definitions remain consistent and scalable across global and regional teams.
Support SDRs and AEs with list uploads, segmentation, data preparation, and prospecting workflows tailored to regional requirements.
Build datasets and automations that help identify and prioritise high-value accounts and contacts.
Ensure inbound, outbound, and PQL signals flow reliably to the right team members, incorporating regional specifics where needed.
Adjust and refine workflows and automations based on team feedback and local market patterns.
Serve as the in-region GTM systems expert who understands customer profiles, market behaviours, and revenue execution patterns.
Partner closely with regional revenue leadership to ensure systems and data support their outbound and inbound motions.
Collaborate with the global RevOps function to ensure regional consistency and data hygiene within the GTM engine.
Identify regional GTM execution gaps and convert them into system or automation improvements that can scale globally.
Monitor system performance, ensuring workflows, automations, enrichment feeds, and AI processes run reliably.
Troubleshoot and resolve data quality or workflow issues that impact sales execution.
Maintain documentation for regional workflows, enrichment logic, AI processes, and system configurations.
Ensure complete and accurate datasets feed into global reporting and analytics.
Requirements
Strong hands-on HubSpot experience across workflows, properties, objects, routing, scoring, and pipelines.
Practical experience with enrichment and intent tools (Clay, Clearbit, Apollo, ZoomInfo, 6sense) and embedding enriched data into GTM workflows.
Familiarity with AI, automation, and integration platforms (OpenAI API, Zapier, Workato, Segment, custom scripts).
A solid grasp of GTM motions — outbound, inbound routing, PQLs, and lead lifecycle management.
Comfort translating sales team needs into clear, scalable system solutions.
Strong debugging and problem-solving skills, with a knack for finding root causes quickly.
Experience in SaaS or fast-paced commercial environments.
A builder’s mindset — you enjoy creating automations and AI-powered tools that remove friction for GTM teams.
Ability to balance global system consistency with local market needs.
A collaborative, detail-oriented approach, passionate about clean data and reliable processes.
Curiosity, proactivity, and a willingness to experiment with new ways to power sales execution.
Benefits
Flexible hybrid working environment, with 3 days in the office.
A generous personal development budget of $500 per annum
Learn from some of the best engineers and creatives, joining a diverse team
Become an owner, with shares (equity) in the company, if Heidi wins, we all win
The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups
If you have an impact quickly, the opportunity to fast track your startup career!
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