Itron, Inc.

Artificial Intelligence

• Assist with developing, testing, and documenting AI-enabled security tools, workflows, and prototypes
• Use scripting and APIs to automate security engineering tasks, data collection, enrichment, analysis, and reporting
• Support the integration and evaluation of security technologies across cloud, identity, endpoint, network, and data environments
• Analyze security data to identify patterns, anomalies, potential threats, and opportunities to improve controls
• Help assess the security of AI solutions, including access controls, data protection, prompt and model risks, and responsible-use safeguards
• Build and maintain technical documentation, test plans, code repositories, and repeatable engineering procedures
• Collaborate with security engineers and internal stakeholders to define requirements, troubleshoot issues, demonstrate solutions, and deliver project outcomes
• Travel 1–10%

Intern – Artificial Intelligence

• Assist with developing, testing, and documenting AI-enabled security tools, workflows, and prototypes
• Use scripting and APIs to automate security engineering tasks, data collection, enrichment, analysis, and reporting
• Support the integration and evaluation of security technologies across cloud, identity, endpoint, network, and data environments
• Analyze security data to identify patterns, anomalies, potential threats, and opportunities to improve controls
• Help assess the security of AI solutions, including access controls, data protection, prompt and model risks, and responsible-use safeguards
• Build and maintain technical documentation, test plans, code repositories, and repeatable engineering procedures
• Collaborate with security engineers and internal stakeholders to define requirements, troubleshoot issues, demonstrate solutions, and deliver project outcomes
• Complete an internship with part-time hours during the academic year and full-time hours during Summer 2027

• Design, develop, deploy, and support AI-enabled solutions for manufacturing processes, test systems, product quality, and factory operations.
• Develop, train, validate, and deploy machine learning models for manufacturing applications.
• Build predictive analytics solutions to improve product quality, throughput, equipment reliability, process optimization, and customer outcomes.
• Design AI-based systems for anomaly detection, defect classification, root-cause analysis, and predictive maintenance.
• Develop computer vision solutions for automated inspection, quality assurance, and manufacturing process verification.
• Collaborate with manufacturing, quality, operations, and test engineering subject matter experts to identify and prioritize AI use cases.
• Support Industry 4.0 initiatives through AI-enabled manufacturing solutions.
• Integrate AI applications with MES, ERP, PLM, manufacturing databases, test systems, and production equipment.
• Create dashboards, monitoring tools, and decision-support systems.
• Implement digital twins and process simulation capabilities.
• Develop scalable data pipelines for structured and unstructured manufacturing data.
• Ensure model accuracy, reproducibility, data integrity, cybersecurity requirements, and regulatory compliance.
• Establish and maintain AI governance, model monitoring, lifecycle management, and responsible AI deployment practices.
• Partner with Manufacturing Engineering to improve production yields, cycle times, OEE, capacity utilization, and process stability.
• Support NPI activities through manufacturing analytics and process optimization.
• Collaborate with Test Engineering to improve automated test coverage, diagnostic capability, and test efficiency.
• Participate in continuous improvement initiatives using AI-driven insights.
• Work cross-functionally with Operations, Quality, Product Development, Supply Chain, IT, and other stakeholders.
• Communicate technical findings, recommendations, and project outcomes to technical and non-technical audiences.
• Provide guidance, training, and mentorship on AI technologies, advanced analytics, and data-driven decision-making.
• Stay current on emerging AI technologies, manufacturing innovations, industry trends, and best practices.
• Demonstrate accountability for project execution, deliverables, and measurable business impact.

AI Manufacturing Engineer

Data Scientist

• Maintain and build data and/or production ML pipelines
• Support the development and maintenance of cloud infrastructure
• Clean and prepare moderate- to large-sized datasets, ranging from tens to hundreds of GB, for analysis, algorithm development, and production purposes
• Conduct exploratory data analysis with senior team members and subject matter experts
• Clearly communicate data analysis findings to relevant stakeholders
• Support the development and refinement of machine learning models under the guidance of senior team members
• Collaborate with data scientists, software engineers, product line managers, and stakeholders
• Complete a 10-week summer internship at 40 hours per week

Intern, Data Science – Distributed Intelligence

Product Manager

• Define and drive product strategy, vision, and roadmap investments for the IEOS Data Platform, Data Lake, and related platform capabilities
• Develop governed data products and data-sharing offerings that address customer needs and can be consistently deployed, supported, and scaled
• Partner with customers and internal stakeholders to understand business challenges and translate them into product opportunities and requirements
• Define functional and non-functional requirements, including security, reliability, observability, auditability, scalability, and compliance considerations
• Lead product definition and packaging of IEOS data products for customer analytics environments, including Snowflake and Databricks
• Establish product requirements for applying shared platform AI capabilities to IEOS data and workflows, including responsible AI controls, explainability, auditability, governance, and secure access patterns
• Collaborate with Engineering to balance customer value, technical feasibility, operational requirements, and long-term platform strategy
• Partner with Customer Success and Delivery to improve onboarding, implementation readiness, supportability, and adoption of IEOS data-sharing solutions
• Support customer-facing activities including technical workshops, discovery sessions, solution presentations, and RFP/RFI responses
• Advocate for customer outcomes while driving accountable product decisions aligned with business objectives and platform evolution
• Foster innovation, continuous improvement, and cross-functional collaboration to deliver value to utility customers
• Monitor product performance, customer adoption, market trends, and emerging technologies to inform roadmap priorities

Senior Product Manager

Customer Success Manager

• Architect, configure, and optimize ServiceNow Customer Service Management capabilities to support a unified customer engagement ecosystem.
• Lead solution design, Tier 3 support, and platform ownership.
• Drive integrations with Salesforce CRM, Oracle ERP, Azure DevOps, Remedy ITSM/CMDB, Amazon Connect, and additional tools.
• Partner with system integrators, DevOps, Integration, Business Intelligence, Security/Compliance, and Customer Success teams.
• Design and implement automated workflows, business process improvements, and data-driven solutions aligned with Itron’s CSM target architecture.
• Ensure compliance with ServiceNow best practices, architectural standards, and governance.
• Deliver enhancements, new features, change requests, and customer-impacting improvements across the ServiceNow platform.
• Support data cleansing, enrichment, conversion, and migration activities during transformation from legacy systems.
• Prepare and maintain system configuration documentation and work with IT support, development, and integration teams.
• Contribute to additional ServiceNow initiatives beyond CSM as needed.
• Stay current on emerging ServiceNow CSM capabilities, industry innovations, and utilities/energy sector trends.

Principal IT Solution Delivery – Service Now CSM Delivery Architect

Sales

• Lead, coach, and develop a team of Account Executives
• Partner with sales leadership to define territory strategy, account prioritization, and opportunity planning across key utility customers
• Drive execution of sales processes, forecast accuracy, pipeline management, and business reviews
• Support complex customer engagements and strategic opportunities through multi-stakeholder sales cycles
• Build and execute growth strategies that expand recurring revenue and strengthen customer relationships
• Collaborate with Product, Marketing, Customer Success, and Solution Consulting teams
• Provide market insights and customer feedback to influence product strategy and business priorities
• Champion an authentic, inclusive, and customer-focused culture that encourages innovation and agility

Senior Manager, Sales – Resiliency Solutions

Account Executive

• Develop and execute strategic territory and account plans to drive bookings, revenue growth, and customer success across assigned utility accounts
• Identify, qualify, and close new business opportunities
• Expand existing customer relationships through upsell, cross-sell, and account growth initiatives
• Build trusted relationships with executive, operational, and IT stakeholders, serving as a strategic advisor to utility customers
• Lead complex sales engagements from discovery through proposal development, negotiation, and contract execution
• Maintain forecast accuracy, pipeline health, and CRM data integrity
• Collaborate with Solution Consultants, Customer Success, Product, and Marketing teams to deliver demonstrations, business cases, and customer presentations
• Leverage industry expertise, market insights, and internal subject matter experts to position solutions addressing utility challenges and creating measurable business value
• Represent Itron at industry events, conferences, and customer engagements to strengthen market presence and generate new business opportunities
• Manage a portfolio of Electric and Gas utility accounts and help customers modernize infrastructure, improve operational efficiency, and accelerate digital transformation initiatives

Client Executive

Marketing

• Define, package, position, and evangelize the Grid Edge Intelligence portfolio as an integrated suite of business solutions for electric utilities
• Own and evolve market-facing strategy, positioning, messaging architecture, and value proposition
• Develop a cohesive portfolio narrative translating products, technologies, and data-driven capabilities into customer-centric solutions
• Define and package integrated solutions connecting technology investments to utility business outcomes
• Partner with Product Management, Business Units, Corporate Marketing, Industry Strategy, Sales, and Customer Success teams
• Lead portfolio-level go-to-market strategies, including market segmentation, buyer personas, campaign themes, value messaging, analyst relations, customer references, and sales enablement
• Create and maintain executive narratives, solution presentations, seller playbooks, discovery frameworks, messaging libraries, and business-value-driven content
• Represent the company with customers, partners, analysts, industry associations, and executive stakeholders
• Lead market intelligence and competitive analysis efforts
• Identify emerging industry trends, regulatory drivers, customer priorities, and technology innovations
• Support strategic account teams with executive customer engagements, business outcome discussions, and enterprise solution strategies
• Establish and monitor portfolio performance metrics and optimize messaging, market engagement, and go-to-market effectiveness
• Foster an agile, collaborative, innovative, customer-focused culture

Portfolio Marketing & Solutions Strategy

Manager

• Support the deployment and adoption of Itron Production System (IPS) and Itron Performance Management System (IPMS) methodologies across Global Operations functions
• Collaborate with functional leaders to identify improvement opportunities aligned with business priorities, customer needs, and operational objectives
• Connect improvement efforts to quality, delivery, operational excellence, and business value
• Coach and mentor teams on Lean principles and problem-solving methodologies
• Translate KPI gaps into problem statements, root causes, corrective actions, ownership plans, target completion dates, and sustainment activities
• Coordinate planning, facilitation support, execution tracking, and follow-up for Kaizen events
• Ensure improvement actions are documented, assigned, and monitored through completion
• Drive accountability through structured follow-up and progress reviews
• Integrate improvements into standard work, visual management systems, tier management routines, control plans, and operational reviews
• Monitor adoption and effectiveness of deployed improvements and recommend corrective actions
• Deliver training, coaching, and mentoring to functional teams, project leaders, and Lean practitioners
• Develop reusable Lean playbooks, tools, and best practices for application across regions, sites, and functions
• Collaborate across Procurement, Supply Chain, Quality, Engineering, Finance, PMO, Manufacturing Operations, and other functions
• Support coordination across multiple teams, processes, or regions in a matrixed global environment
• Prepare and deliver updates on improvement progress, risks, mitigation actions, capability development, adoption, and sustainment metrics
• Present findings and recommendations to leadership and stakeholders
• Support governance processes and deployment reviews through accurate reporting and communication

Manager, Global Function Lean Transformation

Engineering Manager

• Lead category strategy development for Software Security, Cybersecurity, IT Services, Cloud Solutions, and Technology Integration categories
• Develop and execute sourcing strategies supporting enterprise security, digital transformation, infrastructure modernization, and business-critical technology investments
• Manage the full supplier lifecycle, including RFx development, supplier identification, evaluation, negotiations, selection, contracting, implementation support, performance management, and supplier relationship management
• Serve as procurement lead for enterprise-wide software security, cybersecurity, and IT services initiatives
• Lead commercial negotiations with software security vendors, managed service providers, systems integrators, consulting firms, cloud providers, and technology partners
• Partner with Information Security, IT Infrastructure, Enterprise Architecture, Digital Transformation, Legal, Finance, Risk, Compliance, and business teams
• Evaluate software security platforms, cybersecurity tools, managed security services, identity and access management solutions, threat detection technologies, cloud security services, and technology integration capabilities
• Support procurement activities for enterprise applications, SaaS solutions, cloud platforms, security software, managed services, professional services, and systems implementation engagements
• Develop category plans, supplier segmentation strategies, cost optimization roadmaps, and continuous improvement initiatives
• Conduct supplier risk assessments, financial reviews, security due diligence, compliance evaluations, and business continuity reviews
• Drive supplier accountability through performance scorecards, governance frameworks, service level agreements, key performance indicators, and executive business reviews
• Analyze spend patterns, pricing models, technology consumption trends, software licensing structures, and supplier performance metrics
• Provide marketplace insights on cybersecurity technologies, software licensing trends, managed services models, cloud adoption strategies, and technology integration practices
• Prepare executive-level business cases, supplier recommendations, negotiation summaries, category updates, and strategic sourcing presentations
• Foster relationships with internal stakeholders and strategic suppliers
• Promote procurement governance, ethical sourcing, contract compliance, and continuous improvement

Intern – Artificial Intelligence

Intern – Artificial Intelligence

AI Manufacturing Engineer

Intern, Data Science – Distributed Intelligence

Senior Product Manager

Principal IT Solution Delivery – Service Now CSM Delivery Architect

Senior Manager, Sales – Resiliency Solutions

Client Executive

Portfolio Marketing & Solutions Strategy

Manager, Global Function Lean Transformation

Global Technology Category Manager – Software Security, IT Services