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. 

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. 

Job Description

This role will be based in New York or San Francisco.

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. 

LinkedIn is seeking a thoughtful, creative prompt engineer with strong editorial judgment to join our Editorial AI team. This team sits at the intersection of LinkedIn News and LinkedIn Learning, exploring how generative AI can improve editorial workflows, develop innovative member-facing products and power the future of learning on LinkedIn.

The ideal candidate will possess experience in journalism, content strategy, or linguistics, along with a strong interest or experience working in machine learning, coding and/or data analysis. They will be adept at working cross-functionally; experience working with product managers and engineers is a plus. 

The role involves drafting and testing editorial and learning-focused generative AI prompts to power a wide range of initiatives across LinkedIn. The role will require creative thinking, collaborative problem solving and a keen interest in exploring how to build new tools and solve different editorial challenges using generative AI. Coding experience, particularly with Python, is a plus.

You will also be a nimble operator, able to juggle multiple projects and deadlines at once. The ideal candidate will be cool-headed under pressure and comfortable working on projects that may involve ambiguity and no single, immediate solution. 

Responsibilities

• Drafting and testing generative AI prompts to power editorial and learning products at LinkedIn

• Evaluating the quality of outputs of prompts developed by the Editorial AI team and cross-functional partners

• Workshopping prompt drafts and offering feedback to other members of the Editorial AI team

• Developing new ideas and solutions to solve generative AI challenges

• Keeping up to date on the latest trends and techniques in prompt engineering and generative AI

• Collaborating with cross-functional partners (engineers, product managers, designers) and other members of the LinkedIn editorial and LinkedIn Learning teams

• Working on several projects at once, occasionally on tight deadlines.

• Training other editors and partners in the basics of prompt engineering.

Qualifications

Basic Qualifications

• 3+ years experience in journalism, editorial, content strategy or similar role

• Writing and editorial skills with excellent attention to detail

• Experience working with generative AI tools (e.g., ChatGPT, Claude, etc.)

Preferred Qualifications

• Proficiency in Python (especially for prompt iteration, evaluation or data analysis).

• Demonstrated interest in AI/ML and/or natural language processing.

• Understanding of key prompt engineering/LLM concepts (few-shot prompting, model fine-tuning, etc.).

• Familiarity with SQL, Jupyter and/or Git.

• Experience working cross-functionally with technical teams.

• Outstanding verbal communication skills and strong analytical capabilities.

• Comfortable working in ambiguous environments and iterating quickly.

• Exemplary editorial judgment.

• Eagerness for experimentation and creative problem solving.

• Passion for learning new technologies and tools.

• Ability to see other people's points of view and welcome constructive feedback.

Suggested Skills

• Strong editorial judgment

• Creative problem solving

• Cross-functional collaboration

• Prompt engineering

LinkedIn is committed to fair and equitable compensation practices. 

The pay range for this role is $97,000 to $156,000. 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.