Product Manager — AI

Esri

Redlands, Canada

INTERN

Posted February 17, 2026

$95k - $157k

Power Generation

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Job Description

Esri is enhancing the ArcGIS system with new AI capabilities that improve automation, expand GeoAI tools and models, strengthen productivity features, and deepen platform integrations across desktop, web, mobile, and enterprise environments.

Key Responsibilities

Translate customer needs, market opportunities, and competitive signals into structured product requirements, problem statements, and a prioritized roadmap that balances innovation, feasibility, and customer trust
Collaborate with software development through the full lifecycle of AI products
Engage partners, distributors, and global business development to expand adoption of AI capabilities, support joint-solution development, and gather customer insights from diverse markets
Develop and support launch plans with Product Marketing by crafting messaging, writing value propositions, building demos, producing enablement materials, and supporting events
Support Sales, Software Engineering, and Product Marketing with competitive guidance, demos, RFP and RFI responses, and leadership on pricing
Lead and direct customer-facing programs including early adopter programs, betas, advisory sessions, roadmap reviews, and strategic briefings
Maintain actionable feedback loops with Support, Sales, and other teams to identify friction points and opportunities, and synthesize patterns into Productboard for prioritization
Implement operational excellence by maintaining metrics dashboards, and cross-team communication rhythms that support high-quality delivery
Collaborate with Legal, Security, Privacy, and IT to ensure compliance, data sovereignty, accessibility, and responsible AI governance are built into features and user scenarios
Provide internal enablement to increase organizational understanding of AI capabilities
Represent Esri and your product areas at conferences, webinars, user groups, partner summits, and technical communities, communicating product strategy and best practices in geospatial AI
Work closely with engineering, design, and AI platform teams to define technical requirements, choose model integration patterns, validate evaluation metrics, design guardrails, and ensure assistants and agents perform reliably in alignment with Esri AI principles

Requirements

2+ years in product management, product engineering, technical support, or a similar technical role
Proven ability to define product strategy and collaborate with engineering and design to deliver customer-facing capabilities
Strong written, verbal, and presentation skills for both technical and non-technical audiences
Ability to translate complex GIS and AI workflows into clear, actionable product requirements
Hands-on experience shipping AI-powered features (for example, LLM applications, code assistants, automation) or direct collaboration with teams building them
Travel: 10–20% for strategic meetings, customer visits, conferences, and partner engagements
Bachelor's degree in GIS, computer science, engineering, or a related field
Experience with geospatial technologies and the ArcGIS system, including common GIS data models and workflows
Familiarity with responsible AI practices such as trust, transparency, evaluation, telemetry, and data governance
Experience engaging customers, partners, or distributors in roadmap, adoption, and technical enablement discussions
Background working in enterprise software and cross-functional product organizations
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Benefits & Perks

Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$95,160
—
$157,456 USD