American Express

1 day ago

Senior Manager-Digital Product Management

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead product strategy and execution for AI Ops capabilities that shift Technology Operations from manual incident response to AI-assisted, AI-augmented, and safely autonomous operations. Own roadmaps, backlogs, user stories, and measurable success metrics across incident detection, triage, RCA, noise reduction, operational copilots, guided remediation, and self-healing workflows. Partner with engineering, SRE, ITSM, automation, risk, compliance, and vendors to deliver production-grade AI Ops at enterprise scale.

Location: Phoenix, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Own product vision, roadmap, backlog, and success metrics for AI Ops across incident detection, triage, RCA, proactive risk detection, guided remediation, and self-healing automation.
•Translate operational pain points into product requirements, user journeys, acceptance criteria, and measurable outcomes.
•Define AI-enabled workflows using observability data, ITSM data, knowledge sources, dependency maps, automation catalogs, and operational feedback to improve detection, diagnosis, remediation, and learning.
•Partner with engineering and architecture teams to shape agentic product capabilities, including agent orchestration, skills, tools, prompts, knowledge retrieval, memory, evaluation, feedback loops, and governance controls.
•Establish and track AI Ops KPIs (e.g., MTTR, MTTD, alert-noise reduction, incident-volume reduction, automation execution) and ensure safe, auditable, governed production use in collaboration with risk, security, privacy, compliance, and governance stakeholders.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Perks:Health InsuranceDentalVisionPaid ParentalLife InsuranceDisability Benefits401k

Key Requirements

•Bachelor’s degree in Information Systems, Computer Science, Information Technology, Engineering, Business, or comparable experience; advanced degree preferred.
•8+ years of successful product management, engineering, deployment, or operations experience in enterprise-grade technology environments.
•Experience product-managing AI/ML/GenAI, automation, observability, IT operations, SRE, or platform products.
•Strong understanding of incident management, problem management, change management, ITSM workflows, and production operations.
•Technical fluency with cloud platforms such as AWS, Azure, or Google Cloud; hybrid infrastructure, automation, DevOps, or SRE experience preferred.

Experience:8+ yearsEnterprise technologyAI/MLGenAIIT operationsSREAutomationObservability

Education:Bachelor's in Information Systems, Computer Science, Information Technology, Engineering, Business

Skills:Communication managementCollaborationRoadmap disciplineProduct strategyRequirements management

Certifications:CompTIA A+Network+Security+Public cloud certificationProduct management certificationAgile/SAFe certification

Tech Stack:AI OpsAIMLGenAIAutomationObservabilitySREITSMDevOpsAWSAzureGoogle CloudEvent correlationAnomaly detectionRoot-cause analysisIncident managementRCAMTTRMTTDServiceNow

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express

Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn

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American Express

1 day ago

Senior Manager-Digital Product Management

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Phoenix, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•Own product vision, roadmap, backlog, and success metrics for AI Ops across incident detection, triage, RCA, proactive risk detection, guided remediation, and self-healing automation.
•Translate operational pain points into product requirements, user journeys, acceptance criteria, and measurable outcomes.
•Define AI-enabled workflows using observability data, ITSM data, knowledge sources, dependency maps, automation catalogs, and operational feedback to improve detection, diagnosis, remediation, and learning.
•Partner with engineering and architecture teams to shape agentic product capabilities, including agent orchestration, skills, tools, prompts, knowledge retrieval, memory, evaluation, feedback loops, and governance controls.
•Establish and track AI Ops KPIs (e.g., MTTR, MTTD, alert-noise reduction, incident-volume reduction, automation execution) and ensure safe, auditable, governed production use in collaboration with risk, security, privacy, compliance, and governance stakeholders.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually

Perks:Health InsuranceDentalVisionPaid ParentalLife InsuranceDisability Benefits401k

Key Requirements

•Bachelor’s degree in Information Systems, Computer Science, Information Technology, Engineering, Business, or comparable experience; advanced degree preferred.
•8+ years of successful product management, engineering, deployment, or operations experience in enterprise-grade technology environments.
•Experience product-managing AI/ML/GenAI, automation, observability, IT operations, SRE, or platform products.
•Strong understanding of incident management, problem management, change management, ITSM workflows, and production operations.
•Technical fluency with cloud platforms such as AWS, Azure, or Google Cloud; hybrid infrastructure, automation, DevOps, or SRE experience preferred.

Experience:8+ yearsEnterprise technologyAI/MLGenAIIT operationsSREAutomationObservability

Education:Bachelor's in Information Systems, Computer Science, Information Technology, Engineering, Business

Skills:Communication managementCollaborationRoadmap disciplineProduct strategyRequirements management

Certifications:CompTIA A+Network+Security+Public cloud certificationProduct management certificationAgile/SAFe certification

Tech Stack:AI OpsAIMLGenAIAutomationObservabilitySREITSMDevOpsAWSAzureGoogle CloudEvent correlationAnomaly detectionRoot-cause analysisIncident managementRCAMTTRMTTDServiceNow

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York City, United States

Founded: 1850

Website LinkedIn