Manager, Software Engineering, Machine Learning

Join LinkedIn’s mission to connect people with opportunity by leading the Jobs Marketplace Monetization AI Engineering team, a critical pillar of LinkedIn’s Jobs business.

As an Engineering Manager for Jobs Marketplace Monetization AI, you will lead teams solving some of the most complex and high-impact AI and marketplace problems at LinkedIn. This role sits at the intersection of auction design, monetization, relevance, and value delivery, ensuring that job seekers, hirers, and LinkedIn all realize sustainable and measurable value from the marketplace.

You will be responsible for building and evolving the next generation Monetization and Ranking engine, tackling challenges such as large-scale ranking and allocation, pricing and auction mechanisms, budget pacing, and multi-objective optimization across heterogeneous job formats and placements. The systems you lead operate at massive scale, serving millions of members and job postings, while making near real-time decisions informed by job demand, member intent, and hirer objectives.
This role demands deep technical leadership across AI/ML modeling, marketplace economics, and distributed systems, balancing short-term business outcomes with long-term platform leverage.

Location:

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.

This role will be based in Sunnyvale, CA.

Responsibilities:

Marketplace & Monetization Leadership

• Lead the design and evolution of Jobs Marketplace monetization systems, including auctions, pricing, budget allocation, and value-based ranking.
• Drive principled tradeoffs across relevance, hirer outcomes, and LinkedIn revenue using multi-objective optimization.

AI & Platform Innovation

• Guide the Jobs Marketplace 2.0 vision by advancing AI/ML capabilities (including deep learning and LLM-powered systems) while simplifying architecture for scale, velocity, and reliability.
• Enable parallel experimentation across models and strategies without sacrificing quality or system integrity.

Value Delivery & Transparency

• Build mechanisms that give job posters clear visibility into ROI through forecasting, targeting, and quality applicant delivery.
• Ensure monetization strategies are grounded in fairness, incrementally, and long-term marketplace health.
• Collaboration
• Partner cross-functionally with Product, Data Science, Economics, and Business leaders to translate marketplace strategy into durable platform capabilities.
   

Basic Qualifications:

• 1+ year(s) of experience leading a team of AI/ML engineers as a people manager, or 1+ year(s) as a Staff Engineer with completion of a formal management training program. 

• 5+ years of industry experience, including significant work in the field of AI and/or Machine Learning.

• BA/BS in Computer Science or other technical discipline, or related practical technical experience

Preferred Qualifications: 

• 10+ years of overall experience in AI engineering and/or leadership. 

• 2+ years of management experience, leading teams of 5-10+ engineers. 

• PhD in Computer Science, Machine Learning, Statistics or related field.

• Expert in recommendation system, LLM, knowledge graph, and natural language processing

• Experience developing large scale, enterprise grade solutions/systems

• Track record of producing papers in conferences such as KDD, WWW, WSDM, ... and patenting innovations

Suggested Skills:

• Large-scale AI Solutions 

• Technical Leadership

• Management 

• Critical Thinking 

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 

Compensation:

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 to $277,000. 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. 

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 [email protected] 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.