Associate, Finance AI & Automation Solutions

LinkedIn; Mountain View (CA); Hybrid; USD 98,000 - 160,000; Full time

Benefits offered by this job

Stock options

Benefits package

Hybrid work model

Job summary

LinkedIn is seeking an Associate, Finance AI & Automation Solutions – Low-Code / No-Code to design, build, and scale internal finance apps and automations. You will deliver production workflows using Microsoft Power Apps, integrate with Oracle ERP, and apply AI patterns to reduce manual work with strong governance and UX.

You will partner with Finance stakeholders to translate pain points into product requirements, manage a prioritized backlog, and ensure reliability and security across

Qualifications

• Bachelor’s degree or equivalent in CS/IS/Engineering or related field.
• 2+ years building applications, automations, or workflows on low-code/no-code platforms.

Responsibilities

• Build and deploy low-code/no-code apps using Power Apps, with user-friendly UI and workflows.
• Deliver rapid iterations with engineering discipline (versions, environments, releases, tests).
• Design reusable components to accelerate delivery across use cases.

Skills

Power Apps

Workflow Automation

Systems Integration

AI Automation

Product Development

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience

Tools

Oracle ERP

Job description

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

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 looking for an Associate, Finance AI & Automation Solutions – Low‑Code / No‑Code to design, build, and scale internal applications and automations that improve how Finance teams operate. This role is engineering‑leaning and build‑heavy: you will deliver production workflows and apps using Microsoft Power Apps, integrate them with enterprise systems (including ERP platforms such as Oracle), and apply automation and AI patterns to reduce manual work and increase speed and quality of execution.

You will partner closely with stakeholders across Finance functions to understand pain points, translate them into product requirements, and ship iterative solutions with strong reliability, governance, and user experience.

Responsibilities

Low‑Code / No‑Code Application Development

• Build and deploy applications using Microsoft Power Apps (canvas/model‑driven), including user‑friendly interfaces, workflows, and role‑based experiences.
• Deliver rapid iterations while maintaining engineering discipline (versioning, environments, release practices, and quality checks).
• Design reusable components and patterns to accelerate delivery across multiple use cases.

Workflow Automation & Process Orchestration

• Automate business processes end‑to‑end (request intake, approvals, task routing, exception handling, audit trail) using low‑code workflow capabilities.
• Optimize workflows for scalability, reliability, and maintainability; reduce manual steps and cycle times.

Integrations & Data Connectivity

• Build and maintain integrations between low‑code apps and enterprise systems (e.g., Oracle ERP), data sources, and downstream tools.
• Implement data validations, transformations (lightweight), and error‑handling to ensure accuracy and operational robustness.
• Partner with IT/Data teams on integration standards, authentication, and governance.

AI‑Enabled Automation (Practical Use Cases)

• Identify and implement practical AI patterns within low‑code solutions (e.g., intake classification, summarization, assisted triage, anomaly flags, knowledge search) while ensuring appropriate controls and transparency.
• Collaborate with security/privacy and platform teams to apply approved AI services and guardrails.

Quality, Testing, and Operational Support

• Own testing and debugging for low‑code solutions: functional validation, performance checks, regression testing, and production issue triage.
• Monitor application performance and usage; implement improvements to speed, stability, and user experience.
• Provide tier‑2 support and documentation to ensure smooth adoption and ongoing operations.

Product Mindset & Stakeholder Partnership

• Run discovery with stakeholders, convert needs into clear user stories/requirements, and manage a prioritized backlog.
• Use a product mindset to define success metrics, gather feedback, and iterate based on outcomes.
• Communicate progress, tradeoffs, and decisions clearly to drive alignment and adoption.

Governance, Security, and Documentation

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

Qualifications

Basic Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
• 2+ years of experience building applications, automations, or workflow solutions using low‑code/no‑code platforms.
• Experience building production solutions with Microsoft Power Apps or another low‑code/no-code platform.
• Experience translating business requirements into working applications and workflows.

Preferred Qualifications

• Strong understanding of software delivery fundamentals, including SDLC concepts, environments, testing, and releases.
• Experience integrating low‑code applications with enterprise platforms such as Oracle ERP (APIs, data connectors, authentication patterns).
• Familiarity with automation tooling and workflow orchestration (approvals, exception handling, notifications, audit trail).
• Exposure to AI‑enabled automation use cases and responsible implementation practices.
• Experience working in Agile delivery (sprints, backlog grooming, demos, iterative releases).
• Experience building solutions for complex, regulated environments with strong controls and governance.

Suggested Skills

• Power Apps
• Workflow Automation
• Systems Integration
• AI Automation
• Product Development

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $98,000 to $160,000. 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 https://careers.linkedin.com/benefits.

Additional Information

Equal Opportunity Statement

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

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Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

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Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.