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Gridsight

AI-powered utility grid capacity management

Global Implementation Lead

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Ability to lead global implementation and regional implementation teams while improving delivery quality, predictability, and customer time to value.
  • Ability to build an Implementation Centre of Excellence, including its systems, standards, interfaces, charter, service catalogue, governance model, methodology, playbooks, templates, checklists, reusable configurations, and knowledge base.
  • Ability to develop regional teams' capability and guardrails for end-to-end implementation delivery, including roles, capacity, operating responsibilities, training, shadowing, certification, coaching, readiness gates, support boundaries, and escalation paths.
  • Ability to automate repeatable work and streamline implementation processes, tooling, and workflows.
  • Ability to own data landing as an implementation automation service area and partner with Data Platform on transformation tooling and warehouse design.
  • Ability to ensure implementation tooling is maintainable, secure, observable, and owned.
  • Ability to lead a team and operating model, plan the future central Centre of Excellence team shape and capabilities, and set expectations for technical judgment, delivery discipline, documentation, ownership, and customer empathy.
  • Ability to work across Commercial, Product, Engineering, and Customer functions, resolving ambiguity and making ownership explicit.

Responsibilities

  • Improve scoping and implementation planning so commitments, dependencies, risks, and customer responsibilities are visible before delivery begins.
  • Maintain and improve portfolio reviews, delivery forecasting, risk management, and executive escalation.
  • Stay close to active implementations and intervene directly when processes, tooling, or technical approaches are immature.
  • Define a balanced scorecard covering time to value, implementation cycle time, forecast accuracy, quality, rework, automation coverage, regional delivery capability, and customer outcomes.
  • Define the Implementation Centre of Excellence charter, service catalogue, governance model, and interfaces with regional Commercial, Product, Engineering, and Customer teams.
  • Own implementation methodology, patterns, playbooks, templates, checklists, reusable configurations, and the knowledge base.
  • Create consistent technical and quality standards across platforms and regions while allowing local execution.
  • Use lessons from implementations to improve standards, product requirements, automations, and enablement.
  • Set the direction and lead the transition to a Centre of Excellence model that provides global expertise, systems, and leverage while regional teams own end-to-end delivery.
  • Define the capabilities, roles, capacity, and operating responsibilities each region needs to deliver independently.
  • Establish regional readiness gates, support boundaries, and escalation paths.
  • Own data landing and partner with Data Platform on transformation tooling and warehouse design.
  • Make customer data intake fast, reliable, and user-friendly, with automated checks, verification, feedback, and clear exception handling.
  • Represent customer go-live requirements to Data Platform and ensure resulting transformation workflows are safe and independently operable by regional delivery teams.
  • Ensure warehouse design supports strong underlying data foundations and Gridsight's business goals, in partnership with the Data Platform team.
  • Drive practical AI enablement across implementation workflows.
  • Build the future team shape and capability plan for the central Centre of Excellence, including where specialist expertise should sit.
  • Set a high bar for technical judgment, delivery discipline, documentation, ownership, and customer empathy.
  • Develop a culture that balances urgency with quality and treats recurring problems as opportunities to improve systems.
  • Partner across Commercial, Product, Engineering, and Customer functions to resolve ambiguity and clarify ownership.
  • Unblock live implementations, review technical designs, redesign handovers, prototype automations, coach implementation engineers, assess regional readiness, and work with Product and Engineering to remove recurring deployment constraints.

About the Company

Gridsight

AI-powered utility grid capacity management

Gridsight is an AI-powered capacity-management platform for electric utilities that converts fragmented network data into a Foundational Grid Model tailored to each utility, so operators can identify where latent capacity exists and connect new load without building new infrastructure. It blends electrical physics with AI agents to support real-time hosting capacity, solar export management, and distribution planning. Unlike generic grid software, Gridsight delivers a utility-specific model that directly informs where and when to add capacity, enabling dynamic control over rooftop solar exports and faster planning. Its customers include Endeavour Energy, Xcel Energy, and United Illuminating. The company aims to expand its US footprint while continuing growth in Australia and other markets, supported by fundraising to accelerate expansion.

Company size
51-200
Company stage
Series B
Total funding
$28.2M
Headquarters
Wollongong City Council, Australia
Founded
2020

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