Technical Product Manager with experience in ServiceNow SPM & AI - Remote

Info Dinamica IncAK🇺🇸United StatesPosted Oct 12, 2026

Why This Role Stands Out

Leverage your ServiceNow SPM and AI expertise to shape the future of enterprise portfolio management in this impactful remote role with Info Dinamica Inc. You'll drive product strategy, collaborate with diverse stakeholders, and pioneer AI-driven innovations, making this an ideal opportunity for a seasoned technical product manager seeking significant growth and influence. Apply now to contribute to cutting-edge solutions and advance your career from anywhere.

Quick Overview

Seniority

Mid Senior

Work mode

Remote

Location

AK, United States

Posted

21 hours ago

SAFeScrumAgileGenerative AI

Job Description

Role: Technical Product Manager with experience in ServiceNow SPM & AI

Remote (US)

Job Type: Contract

Description:

We are seeking a Technical Product Manager with deep expertise in ServiceNow Strategic Portfolio Management (SPM) and strong ServiceNow platform knowledge.
This role will drive product strategy, roadmap execution, stakeholder alignment, and delivery of enterprise portfolio management capabilities while leveraging AI-driven innovation to maximise business value.

Key Responsibilities:

Own the product vision, roadmap, and backlog for ServiceNow SPM capabilities.
Partner with business, finance, PMO, and technology stakeholders to define and prioritise strategic initiatives.
Translate business objectives into scalable ServiceNow solutions and product features.
Lead roadmap planning, release management, adoption strategy, and value realisation.
Define KPIs, portfolio governance processes, and executive reporting mechanisms.
Drive AI adoption and intelligent automation opportunities across portfolio management processes.
Collaborate with architects, developers, and platform teams to deliver high-quality solutions.

ServiceNow SPM Product Knowledge Expectations

Candidate must demonstrate strong functional and technical understanding of:

Demand Management: Idea intake, demand scoring, assessment workflows, prioritisation models.
Project s Program Management: Project lifecycle, governance, milestones, RAID management, project health indicators.
Portfolio Management: Portfolio hierarchy, investment planning, portfolio reviews, strategic alignment.
Resource Management: Capacity planning, resource forecasting, allocation strategies, utilisation tracking.

Financial Management: Cost planning, benefit tracking, budget management, CAPEX/OPEX concepts, funding models.
Strategic Planning: Objectives C Key Results (OKRs), strategic themes, roadmaps, outcome tracking.
Agile Development s Enterprise Agile Planning: Agile hierarchy, backlog management, PI planning, integration with engineering teams.
Performance Analytics s Reporting: Executive dashboards, portfolio KPIs, value delivery metrics, resource and financial reporting.
SPM Data Model s Workspaces: Understanding of key SPM tables, relationships, Workspace experiences, and reporting structures.
Familiarity with SPM best practices, portfolio governance frameworks, and enterprise transformation initiatives.

Required Skills:

Strong experience as a Product Manager/Product Owner for ServiceNow SPM implementations.
Deep understanding of ServiceNow platform capabilities, integrations, workflow automation, reporting, and analytics.
Experience managing product roadmaps and cross-functional stakeholder alignment.
Strong analytical, communication, and executive presentation skills.
Agile/Scrum product management experience.

Preferred Qualifications:

ServiceNow CSA and CIS-SPM certifications.
Experience with enterprise PMO, portfolio governance, and financial planning processes.
Knowledge of Agile, SAFe, Lean Portfolio Management, or similar frameworks.

AI-First Expectations:

Experience leveraging Generative AI, Now Assist, Predictive Intelligence, and Agentic AI to improve product delivery and user experience.

Ability to identify AI-driven opportunities for portfolio optimisation, forecasting, prioritisation, and executive insights.
Strong understanding of AI governance, adoption strategies, and measurable business outcomes.