Senior Product Operations Engineer

Salesforce
Redwood City
Workplace: OnsiteFull timeUSD 148,500 - 223,900 annuallyFunction: Manufacturing & Production OperationsExperience: 8+ yearsSkills: ["Systems-thinking","Communication"]

Serve as a Senior Member of Technical Staff (SMTS) and definitive technical authority for Informatica Product Operations, Master Data Management (MDM), and platform operations architecture. Architect AI-infused CI/CD and deployment pipelines with automated analysis, validation, rollback, and self-healing. Build observability with Kibana, Prometheus, and Grafana, applying AI/ML anomaly detection and smart alerting runbooks to minimize downtime and scale the platform.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Salesforce
Salesforce
1 month ago

Senior Product Operations Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Serve as a Senior Member of Technical Staff (SMTS) and definitive technical authority for Informatica Product Operations, Master Data Management (MDM), and platform operations architecture. Architect AI-infused CI/CD and deployment pipelines with automated analysis, validation, rollback, and self-healing. Build observability with Kibana, Prometheus, and Grafana, applying AI/ML anomaly detection and smart alerting runbooks to minimize downtime and scale the platform.
Location: Redwood City
Workplace: Onsite
Employment Type: Full time
Job Function: Manufacturing & Production Operations
Seniority: Sr. Manager level

Key Responsibilities

  • •Architect and optimize modern automated deployment pipelines using GitHub Actions and Copado, enhanced with AI capabilities for static analysis and validation.
  • •Integrate AI tools into CI/CD to predict deployment impacts, flag limit violations, and perform automated validation before production releases.
  • •Explore and implement automated rollback mechanisms and self-healing scripts to minimize deployment friction.
  • •Design and implement observability frameworks with Kibana, Prometheus, Grafana, and Cloud Native Monitoring; apply AI/ML anomaly detection for irregular spikes and failures.
  • •Build smart alert routing and automated runbooks that use machine learning to categorize, prioritize, and initiate self-remediation steps.

Pay and Benefits

Salary: USD 148,500 - 223,900 annually
Perks:MedicalDentalVision401kPaid Parental

Key Requirements

  • •8+ years of deep technical experience in Enterprise Architecture, DevOps Engineering, or Informatica Engineering at Staff/Principal/SMTS level.
  • •Experience embedding AI/ML utilities into deployment pipelines (e.g., AI-augmented testing, automated code review) and managing complex branching strategies.
  • •Strong background in enterprise monitoring and AI-driven anomaly detection tools.
  • •Proven track record delivering complex technical infrastructure autonomously as an elite individual contributor.
  • •Systems-thinking mindset and ability to communicate complex architectural tradeoffs and AI-driven telemetry insights to non-technical stakeholders.
Experience:8+ yearsEnterprise ArchitectureDevOpsInformaticaMaster Data Management (MDM)
Skills:Systems-thinkingCommunication
Tech Stack:GitHub ActionsCopadoKibanaPrometheusGrafanaCloud Native MonitoringCI/CDAI/MLMachine learning

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor