Implementation Consultant – Service

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🛠️ Implementation Specialist

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gigawatt

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Gigawatt is an AI-focused software company building an enterprise-grade operating system for electric utilities. It uses large-scale AI to optimize power delivery, improve grid health and flexibility, and enhance customer experience while embedding industry-specific security and regulatory compliance. The company emphasizes rapid development cycles and utility-domain expertise to modernize legacy utility systems and enable a more resilient, efficient grid.

📋 Description

• Configure the Gigawatt Service module end to end, from intake and analysis through configuration, validation, sign-off, and promotion • Map utility work categories and legacy order types into ticket types, durations, skills, priorities, and SLAs • Convert legacy territories, routing tables, and cross-references into dispatch areas and scheduling constraints • Set KPI weights for operating companies and explain scheduling differences to client operations teams • Tune exception rules so unplaceable work enters named queues with clear reasons • Model skills, certification grades, crew composition, territory boundaries, appointment windows, site access, permits, parts, equipment, and hours-of-service constraints • Replace hand-coded legacy rules with configured business needs using form builders, rules engines, and online validation • Establish reusable best-practice configurations across operating companies and avoid unnecessary forks • Lead adoption of engine-driven service workflows for crews and dispatchers • Run the AI-assisted configuration flywheel and partner with Product and Engineering on fit-gap analysis • Validate schedules against dispatcher expectations before go-live • Triage production issues through the promotion process • Serve as the client’s day-to-day point of contact and first line of defect intake • Produce reusable configuration templates for ticket types, crew models, and calendars

🎯 Requirements

• 7+ years in field service management, configuring, implementing, or consulting on FSM software for enterprise customers • Hands-on, declarative configuration experience with IFS Field Service Management, ClickSoftware / Salesforce Field Service, Oracle Field Service, ServiceNow Field Service Management, SAP Field Service Management, or similar • Experience configuring work types, resources and skills, territories, calendars, scheduling policies, or optimization rules • Understanding of scheduling constraints, priorities, SLAs, travel, optimized schedules, and dispatcher overrides • Led requirements workshops with operations and dispatch stakeholders • Taken configuration through testing, UAT, and go-live on at least one enterprise rollout • Experience mapping and migrating data from a legacy field service or work-management system, including parallel runs and cutover • Experience helping field organizations adopt new ways of working • Comfortable working with supervisors, crew leads, and labor stakeholders • Comfortable with structured data, spreadsheets, and AI tooling • Based in the United States and able to travel to client sites • Nice to have: utility field operations experience, legacy-system migration, mobile workforce rollouts, integration exposure to asset management/GIS/outage management/inventory systems, AI-accelerated configuration workflows, and reusable-component design

🏖️ Benefits

• Ability to work from any U.S. time zone • Travel to client sites • AI-accelerated workflow and tooling • Opportunity to configure field service for a major U.S. utility • Lean, senior team environment