Top Remote Artificial Intelligence Product Manager Jobs

Define and execute cross-domain product strategy for ServiceNow's U.S. public sector cloud portfolio (regulated hosted clouds, Private Stack, Pro/sovereign offerings). Align engineering, security, legal, partners, and GTM; drive compliance and architecture patterns, parity with commercial cloud, regulated release processes, operational metrics, and data-driven prioritization to support federal, DoD, and SLED customers.

Lead digital M&A integration and product launch strategy: build playbooks, governance, and requirements; partner with M&A, Product, Marketing, Legal, and Engineering to consolidate digital properties, guide tech and marketing stack decisions, and drive launch visibility using analytics and stakeholder alignment.

Own and execute the Bindplane product roadmap across two core areas. Translate strategy into shipped features, write requirements and acceptance criteria, prioritize backlog, collaborate with engineering and design, validate opportunities via customer feedback and data, lead pre-release and beta programs, enable GTM and sales, mitigate risks, and represent the product externally.

Own and execute the multi-year telematics hardware platform roadmap end-to-end. Drive commercial outcomes for gateways, sensors, cabling and accessories through field validation, launch, lifecycle management, and cross-functional alignment. Engage customers and sales on strategic deals, use market and fleet data to prioritize, and mentor junior PMs while ensuring hardware strategy supports revenue, margin, and company growth.

Own product outcomes for OTR & Core Visibility: track adoption KPIs, analyze usage with SQL and analytics tools, engage customers for discovery and onboarding, prioritize backlog, collaborate with engineering/design/data science, and ship features that improve adoption, retention, and customer experience.

Lead product strategy and lifecycle for third-party platform services powering Payments 2.0 and CCS 2.0. Own AI-driven onboarding, data mapping, document and communication services, KYC/KYB and fraud solutions, vendor partnerships, API-first integrations, governance, KPIs, and cross-functional alignment to ensure scalable, secure, compliant, and cost-effective platform capabilities.

Own the strategy and roadmap for enterprise identity and multi-user capabilities, including RBAC, organization management, SSO, provisioning, authentication, and account security. Lead cross-functional launches with engineering, security, legal, privacy, and customer experience teams. Define platform vision, address vulnerabilities, establish privileged-access safeguards, and translate complex identity requirements into intuitive experiences for business and consumer customers.

Own the end-to-end data onboarding product roadmap, including legacy POS extraction, transformation, validation, internal tooling, and customer-facing onboarding experiences. Drive automation, improve install readiness and specialist efficiency, define product requirements and metrics, and develop a path toward self-service onboarding. Partner with engineering, onboarding, go-to-market, and customers while planning for scale and using AI tools to accelerate discovery and workflow automation.

Lead product definition, roadmap, and adoption for the CTOs agentic AI portfolio. Translate strategy into requirements, KPIs, and milestones; run discovery, prioritize backlogs, instrument usage, and shepherd incubation-to-handoff for AI/dev platforms and foundation-model tooling.

The Staff Product Manager, Conversion ML will shape product strategy for Liftoff's machine learning system, Cortex, develop new ideas, conduct experiments, and adapt roadmap based on data.

Lead product strategy and roadmap for Zetas Healthcare vertical, focusing on claims-level data orchestration, AI-enabled messaging and activation. Partner with engineering, analytics, commercial, and product marketing to deliver platform integrations, pilots, and client deployments while ensuring HIPAA/compliance alignment and driving adoption across GTM teams.