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Neara

Director, Customer Success

Neara

. Oversee a strategic portfolio of electric utilities across the United States .

Posted 10/5/2026full-timeNew York City • New York • United StatesLead💰 $180,000 - $250,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in managing large-scale enterprise software deployments and complex digital transformation initiatives within the electric utility sector. Proven ability to lead teams, drive strategic value realization, and establish effective communication with utility executives.

Highest-signal resume keywords
Enterprise Software DeploymentDigital Transformation InitiativesTeam Leadership and MentoringCustomer Relationship ManagementTechnical Project Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLData IntegrationCustom ScriptingPlatform ConfigurationROI FrameworksDigital Twin WorkflowsProject GovernanceComplex Project DeliveryTechnical Customer Success
Soft Skills
Exceptional Communication SkillsConsensus BuildingRelationship ManagementCoaching and SupportDelivery Excellence
Industry Keywords
Electric UtilitiesEnergy CompaniesPhysical InfrastructureOperational WorkflowsStrategic Advisor

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Oversee a strategic portfolio of electric utilities across the United States
  • Manage a team of 4-5 Customer Value Architects and Forward Deployed Engineers
  • Drive multi-year enterprise software engagements from initial pilot through full-scale deployment and long-term value realization
  • Act as a trusted operational and strategic advisor to utility executives
  • Guide complex software deployments and embed Neara solutions into daily operational workflows
  • Own end-to-end program delivery and long-term account success across enterprise electric utility customers
  • Serve as the executive escalation point and trusted advisor
  • Lead, coach, and support direct reports, driving delivery excellence, professional development, and resource allocation
  • Define ROI frameworks, map digital twin workflows to existing processes, and ensure widespread software adoption
  • Oversee technical workstreams including data integration, custom scripting, and platform configuration
  • Ensure projects remain on schedule, within scope, and aligned with client strategic goals
  • Partner with Sales, Product, and Engineering teams to share customer insights, mitigate implementation risks, and identify commercial expansion opportunities
  • Establish project governance frameworks and structured communication cadences with utility executives, project sponsors, and steering committees

Requirements

What you’ll need
  • Proven experience as a consulting leader (Manager, Director, or equivalent) within a global management or technology firm, or equivalent leadership experience in technical customer success, professional services, or complex project delivery
  • Track record of successfully leading multi-year, large-scale enterprise software deployments and complex digital transformation initiatives
  • Background in Engineering, Computer Science, or a quantitative field
  • Practical familiarity with Python or SQL is a strong plus
  • Prior experience working directly with electric utilities, energy companies, or large-scale physical infrastructure assets is ideal
  • Demonstrated ability to manage, mentor, and elevate technical individual contributors in customer-facing environments
  • Exceptional communication skills with experience building consensus, navigating internal teams, and managing relationships across complex utility organizational structures

Benefits

Comp & perks
  • Offers Equity
  • Opportunity to protect critical infrastructure and prevent catastrophic events using cutting-edge digital twin technology
  • Senior leadership position with direct access to executive leadership
  • Autonomy to drive key accounts
  • Access to company leadership, product builders, and domain experts
  • Work with engineering-grade physics and AI models