Product Management Lead

Honeywell

Lead Product Manager at Honeywell managing cloud-hosted applications and AI features for utilities. Collaborating with teams to drive product strategy and deliver measurable value in utility operations.

Posted 6/24/2026full-timeRaleigh • North Carolina • 🇺🇸 United StatesSeniorWebsite

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Hard Skills

cloud software product managementB2B software productsAI featuresML product fluencyutility data integrationdata platform considerationscommercial models for AI featurescompetitive analysisproduct requirementsroadmap development

Soft Skills

communicationcollaborationstrategic thinkingcustomer researchproblem-solvingstakeholder engagementanalytical skillsleadershipadaptabilitynegotiation

Tools & Technologies

SaaScloud architectureMDMGISCISDERMSdata lakeshead-end systemsutility analyticsEPRI

Industry Keywords

utility domain knowledgeVOCmarket-back product methodologyutility regulatorsindustry consortiagrid operationsDER managementrate designutility program performancedeployment risk

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Define product requirements, specifications, and roadmap for applications in the Forge Utility Software portfolio. Maintain alignment with the broader Forge platform architecture.
Own the product strategy for AI features across the portfolio, including AI for grid operations, DER management, rate design, and utility program performance. Translate AI capability into utility-relevant outcomes.
Work with Solution Architects, Sales, and customers to identify the highest-value use cases. Conduct VOC and competitive analysis, especially against utility analytics and DERMS competitors.
Set product requirements and feed development priorities into the engineering / R&D organization.

Requirements

What you’ll need

6+ years of experience
Cloud software product management experience. A track record of shipping cloud-native B2B software products. Comfortable with SaaS commercial models, cloud architecture trade-offs, and data platform considerations.
AI / ML product fluency. Working knowledge of how to scope, evaluate, and ship AI features in a B2B context. Understands the difference between an AI demo and an AI product, and can pressure-test feasibility, accuracy thresholds, and deployment risk with engineers.
Utility domain knowledge. Familiarity with utility analytics, MDM, GIS/CIS integration, or DERMS use cases. Able to talk credibly with utility analysts and operations staff.
Market-back product methodology. Demonstrated history of building roadmaps from customer research, VOC, and competitive analysis rather than from internal ideation.
Experience with utility data integration platforms (head-end systems, MDMS, data lakes, or similar).
Experience defining commercial models for AI features (consumption-based pricing, tiered SaaS, etc.).
Background working with utility regulators, EPRI, or industry consortia.

Benefits

Comp & perks

employer subsidized Medical, Dental, Vision, and Life Insurance
Short-Term and Long-Term Disability
401(k) match
Flexible Spending Accounts
Health Savings Accounts
EAP
Educational Assistance
Parental Leave
Paid Time Off (for vacation, personal business, sick time, and parental leave)
12 Paid Holidays