Company 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.
Job Description
This role will be based in San Francisco or New York.
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 Finance Systems & Automation Specialist - 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). Maintain high standards of software delivery, including versioning, environments, and release practices.
- Workflow Automation & Process Orchestration: Automate business processes end-to-end using low-code capabilities. Optimize workflows to increase scalability, reliability, and minimize manual intervention.
- Integrations & Data Connectivity: Build and maintain integrations with enterprise systems (e.g., Oracle ERP) and manage data accuracy through validation and error handling.
- AI Enabled Automation: Implement AI-driven automation within low-code solutions, applying industry-approved patterns while ensuring transparency and control.
- Quality, Testing, and Operational Support: Own testing, debugging, and performance monitoring for low-code solutions. Provide tier-2 support and documentation to facilitate smooth adoption and operational success.
- Product Mindset & Stakeholder Partnership: Lead discovery sessions, convert requirements into user stories, and manage a backlog to deliver iterative solutions. Communicate progress and make trade-offs to align with business objectives.
- Governance, Security, and Documentation: Ensure solutions comply with enterprise data protection standards. Create comprehensive technical documentation and user guides.
Qualifications
Basic Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
- 10+ years of professional experience in relevant roles.
- Proven hands-on experience building solutions with Microsoft Power Apps or any other low-code/no-code platform.
- Experience with software delivery fundamentals (SDLC, version control, testing, and releases).
- Experience converting business requirements into working applications and workflows.
Preferred Qualifications
- Experience with integrating low-code applications into ERP systems like Oracle.
- Familiarity with automation and workflow orchestration tools.
- Exposure to AI-enabled use cases and responsible implementation practices.
- Experience working in Agile environments (sprints, backlog grooming, demos, iterative releases).
Suggested Skills
- Financial Acumen
- Problem Solving
- Project Management
- Data Analysis
- Strategic Thinking
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $125,000 to $202,000. 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.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
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.
San Francisco Fair Chance Ordinance
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.
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
