Job Description
This role can be located in Sunnyvale, San Francisco, Seattle or New York City.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
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. We’re much more than a digital resume – we transform lives through innovative products and technology. At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.
LinkedIn Foundational AI Technologies build a 360 understanding of all entities in the LinkedIn ecosystem, spanning the world’s professionals, companies, schools, jobs, content, and more. This ensures a single source of truth for all entities, powers nearly every product and experiment at LinkedIn, leads to members and customers getting better access to opportunities, and enables the marketplaces to have better matching (higher quality, coverage and efficiency).
All these are achieved through cutting-edge Generative AI, embeddings, and Large-language models.
In this role, you will help own the strategy and execution for LinkedIn’s foundational AI products. This is a rare opportunity to work on initiatives at the cutting-edge of AI, which benefits every product and team at LinkedIn and over 1 billion members of the global workforce.
Responsibilities
Own the vision and strategy of LinkedIn’s foundation AI products. Interface with other product teams across the company to understand the product ecosystem and prioritize the top product problems that need to be solved by AI technologies.
Build a roadmap of the technology solutions (either improvements to the existing models or potential new models that could be developed).
Success evaluation: define ground truth and metrics, drive rigorous testing and evaluation of AI models for accuracy, performance and trustworthiness.
Communicate the team’s AI solutions to partners/clients/execs to bring significant clarity, and gain adoption customers.
Work with other PMs, designers and UXR to develop an interaction paradigm for the product that provides training signal back to the model development process.
Make sure the team is executing to the latest industry standards for responsible model development as it relates to privacy, policy, legal, etc.
Qualifications
Qualifications
Basic Qualifications:
6+ years of product management experience or equivalent role.
BS/BA Degree in a technology related field OR equivalent experience
Experience in analytics and AI-driven products.
Preferred Qualifications:
Experience shipping consumer or enterprise products with AI especially embeddings and large-language models.
Proven skills to innovate based on deep understanding of emerging AI technologies.
The desire to drive product development as a senior individual contributor Product Manager - focused on execution of the responsibilities of a PM, rather than managing other PMs.
Ability to manage and lead across highly cross-functional teams
Ability to communicate findings clearly to both technical and non-technical audiences
Suggested Skills
AI
Machine Learning
Embeddings
Large Language Models
Knowledge Graph
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $141,000 to $230,000. 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.
