Staff, Finance, AI & Automation Solutions

This role will be based in San Francisco or Sunnyvale.

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team.

We are seeking a Staff Finance AI & Automation Solutions to design build and scale AI-enabled workflows and internal applications that change how Finance operates. This role is AI-first and build-heavy: you will ship production workflows that combine approved AI services with low-code platforms (Microsoft Power Apps Power Automate) integrate with enterprise systems including Oracle ERP Oracle EPM GetPaid and Allocadia and apply automation patterns to eliminate manual work. 

You will partner closely with stakeholders across Finance  -  Strategic Finance FP&A Controllership Procurement Marketing Finance and Collections  -  to identify pain points translate them into product requirements and ship iterative solutions with strong reliability governance and responsible AI practices. 

Responsibilities 

AI-Enabled Workflow Design 

• Lead with AI: design and ship Finance workflows that use approved AI services for classification summarization anomaly detection narrative generation assisted triage and knowledge search. 
• Partner with security privacy and platform teams to apply guardrails prompt patterns evaluation harnesses and human-in-the-loop controls. 
• Define success metrics (cycle time accuracy deflection rate) and instrument solutions so AI value is measurable. 

Low-Code / No-Code Application Development 

• Build and deploy production applications using Microsoft Power Apps (canvas / model-driven) and Power Automate with user-friendly interfaces and role-based experiences. 
• Deliver rapid iterations with engineering discipline: versioning environments release practices and quality checks. 
• Create reusable components templates and patterns to accelerate delivery across multiple Finance use cases. 

Workflow Automation & Process Orchestration 

• Automate end-to-end Finance processes: request intake approvals task routing exception handling audit trail and notifications. 
• Target touchless and low-touch outcomes (e.g. PO lifecycle expense workflows close tasks marketing allocation). 
• Optimize for scalability reliability and maintainability  -  reducing manual steps cycle times and operational toil. 

Integrations & Data Connectivity 

• Build and maintain integrations between low-code apps and enterprise systems (Oracle Fusion ERP Oracle EPM GetPaid Allocadia and adjacent platforms). 
• Implement data validations lightweight transformations and robust error handling for accuracy and operational resilience. 
• Partner with IT and Data teams on integration standards authentication and governance. 

Quality Operations and Support 

• Own testing and debugging: functional validation performance checks regression testing and production issue triage. 
• Monitor application performance and usage; improve speed stability and user experience. 
• Provide tier-2 support runbooks and documentation to ensure smooth adoption. 

Product Mindset & Stakeholder Partnership 

• Run discovery with Finance stakeholders translate needs into clear user stories and manage a prioritized backlog. 
• Communicate progress trade-offs and decisions; demo iteratively and adapt based on outcomes. 

Governance Security and Documentation 

• Ensure applications meet enterprise standards for data protection access controls auditability change management and AI responsible-use policies. 
• Produce clear technical documentation (solution design integrations configuration) and user guides. 

Qualifications :

Basic Qualifications 

• Bachelors degree in Computer Science Information Systems Engineering or equivalent work experience.
• 8 years of experience building delivering or scaling applications automation solutions or enterprise technology solutions.
• Experience building production solutions with Microsoft Power Apps or another low-code/no-code platform.
• Experience applying AI in production workflows including prompt engineering evaluation and responsible-use practices for enterprise AI services.
• Experience translating business requirements into working applications and workflows.

Preferred Qualifications 

• Strong understanding of software delivery fundamentals including SDLC environments testing and releases.
• Experience integrating low-code applications with enterprise platforms such as Oracle Fusion ERP Oracle EPM GetPaid or Allocadia (APIs data connectors authentication patterns). 
• Experience with AI-enabled automation use cases at scale  -  document intelligence summarization anomaly detection narrative generation conversational interfaces. 
• Familiarity with evaluation frameworks for AI outputs (accuracy hallucination bias drift) and human-in-the-loop patterns. 
• Familiarity with automation tooling and workflow orchestration (approvals exception handling notifications audit trail). 
• Experience in Agile delivery (sprints backlog grooming demos iterative releases). 
• Experience building solutions for complex regulated environments with strong controls and governance (SOX segregation of duties change management). 

Suggested Skills

• AI Automation
• Power Platform
• Systems Integration
• Workflow Automation
• Solution Architecture

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $141000 to $231000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor.    

The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For more information visit Information :

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No

Employment Type :

Full-time