Lead the strategy, roadmap, and operations of Telstra’s AI infrastructure services, ensuring sovereign, secure, and resilient AI infrastructure-as-a-service for internal and external stakeholders.
Responsibilities
Set the strategy, roadmap and operating model for Cloud AI Infrastructure Services
Own the AI infrastructure product portfolio across GPUs, accelerators, storage, networking, cloud and self-hosted services
Provide secure, resilient, observable and cost-effective AI infrastructure services
Ensure AI infrastructure meets sovereignty, security, latency, data protection and IP guardrails
Create an AI infrastructure-as-a-service consumption model with APIs, documentation and support
As a Sr AI/ML Engineer, you will join an innovative technology team dedicated to architecting and scaling advanced artificial intelligence and machine learning solutions across the enterprise. In this role, you will design, develop, and deploy production-ready AI models and automations that transform complex healthcare workflows and data into actionable insights.
Responsibilities
Serve as a senior hands-on AI/ML engineer embedded with Behavioral Health business and operations teams
Work directly with BH business partners, ECS Operations leaders, clinicians, care advocates, and users to prototype, develop, test, and refine AI capabilities
Own complex AI components and features under the architecture and technical direction of the Lead AI Engineer
Act as the daily engineering connection between users and the broader development team
Focus on complex feature ownership and user-facing delivery rather than portfolio architecture or overall team leadership
The role involves product strategy and dealmaking for AI partnerships, focusing on model providers, cloud and AI platforms, and infrastructure to integrate into Nothing's devices.
Compensation
$220K - $275K base plus equity
Responsibilities
Work out where an outside model, platform or tool would make our products materially better, and shape product direction around it with product and engineering
Build relationships with AI labs and the platforms around them, and open doors from cold where the right partner doesn't know us yet
Structure partnerships that work for both sides, including non-standard ones, and own the terms
Take each partnership from signed to live, working with our engineers through integration, pilot and launch, and be clear about whether it worked
Know when to walk away from a partnership, and build a repeatable way for us to choose and review them
Requirements
Nice to have: AI partnerships (models, agent or developer infrastructure, AI platforms)
Nice to have: Existing relationships across AI labs and model providers
Nice to have: Product management or technology strategy background
Nice to have: Experience building partnership systems (qualification, pilots, reviews)
Nice to have: Device, silicon or on-device AI partnerships experience
A role focused on driving efficiency across the marketing team through project management, data analysis, financial stewardship, and AI-driven innovation.
The Business Intelligence Analyst supports the Data & Forward Planning organization by developing, maintaining, and enhancing network‑level analytics, dashboards, and data products.
Responsibilities
Develop, enhance, and maintain network analytics dashboards and reports supporting revenue forecasting, capacity planning, Win Room insights, and performance management.
Maintain and improve Power BI reports, data models, and reports; including performance optimization and user‑friendly design
Enable proofs of concept and new analytics use cases, supporting rapid iteration and continuous improvement of data products
Ensure data accuracy, completeness, and consistency across analytics outputs, underlying tables, and reporting logic
Leverage dashboards and tools to support business process improvement projects and enable data‑driven decision making
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