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About the Role

Neara is creating reality by using advanced machine learning to build digital twins of electricity grids. We simulate extreme weather and stress to help utilities optimize investments and build a more resilient energy future. The VP, Delivery will lead global implementation functions, owning model build, deployment operations, contractor management, and QA execution across Neara's global utility customer base.

Responsibilities

• Own end-to-end delivery across model build, QA and CS-defined deployment processes, contractor partner management, and deployment operations
• Own the delivery P&L, managing cost per deployment, contractor spend, and team utilization to deliver margin targets
• Drive consistent digital twin model quality, velocity, and standardization
• Operationalize KPIs across the delivery function, including model build cycle time, on-time delivery rate, contractor utilization, and cost per deployment
• Build and own the delivery playbook covering model build, QA processes, and contractor execution
• Build and lead global delivery teams across AU, US, EU, and India
• Own portfolio prioritization, capacity allocation across internal teams and contractors, and delivery risk management
• Drive AI and automation adoption within deployment operations

Requirements

• 10+ years leading delivery or implementation functions, with at least 3 years at VP or equivalent level in a global SaaS business
• Proven track record leading delivery functions at scale in enterprise SaaS
• Experience managing global delivery teams across multiple regions and timezones
• Familiarity with utility, energy, or heavy infrastructure customers is an advantage
• Deep familiarity with US enterprise customer dynamics
• Strong understanding of delivery economics: utilization, margin management, capacity planning, and contractor cost structures
• Proven ability to build and enforce delivery playbooks across distributed teams
• Technically credible
• Experience managing third-party contractor relationships at scale
• Highly analytical with strong operational judgment
• Active user of AI tooling in your own workflow with demonstrated impact on delivery efficiency or forecasting accuracy
• Based in Sydney, Australia
• Willing to travel internationally, with primary focus on US

Skills

• AI
• Machine Learning
• SaaS
• Enterprise SaaS
• Delivery
• Implementation
• Model Build
• QA
• Deployment Operations
• Contractor Management
• P&L Management
• KPI Operationalization
• Risk Management
• AI Tooling

Location

• Sydney, Australia

Work Type

• Fully flexible working arrangements

Experience Level

• VP or equivalent level
• 10+ years leading delivery or implementation functions

Salary/Compensations

• Competitive salary + ESOP

Benefits

• Significant career development and growth opportunities
• Fully flexible working arrangements
• Well-stocked office in Redfern
• Annual company-wide offsite
• Highly meritocratic, non-bureaucratic, and no-ego work culture
• The opportunity to work on complex, meaningful products and real-world problems
• The opportunity to play a direct, critical role in the trajectory of a high-growth company

About the Company

• Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents.
• By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
• Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis.
• We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.

Equal Opportunity

• Neara values diversity, belonging, and equal employment opportunities. We encourage individuals from all backgrounds to apply.