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About the Role

The Tech & Analytics team builds the analytical and automation foundation that powers LinkedIn's Go-to-Market decisions. This role will design, build, and launch AI-powered features within business applications, transforming LLMs, agents, and AI-driven automation into reliable features that improve internal team workflows. This is a hands-on builder role owning features end-to-end, from problem framing to production monitoring, in partnership with product managers, data engineers, and platform teams.

Responsibilities

Define the technical roadmap and architecture for the Technology & Product Operations org, including key decisions on frameworks, tooling, and practices.
Partner with R&D to build applications leveraging internal platforms and provide input on enhancements to technical platforms and data infrastructure.
Lead the hands-on design, development, and deployment of scalable data products, AI/ML models, and GenAI-powered agentic workflows.
Serve as the subject matter expert on applying modern AI, LLMs, and ML techniques to solve GTM business problems within Enterprise Applications.
Design for quality and trust by defining evaluation criteria, building active monitoring, implementing safe use guardrails, and measuring AI feature performance.
Mentor operations and analytics colleagues on AI tooling and applications, setting a high bar for technical rigor, code quality, and engineering best practices.
Operate at scale and in production by instrumenting features to minimize latency and cost, maximize reliability and accuracy, debugging failure modes, and iterating based on usage.
Collaborate with Product, Engineering, and Data Science teams to operationalize and scale models from prototype to production.
Translate complex technical concepts and model outputs into clear, concise, and actionable narratives for non-technical stakeholders and senior leadership.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field, OR equivalent practical experience.
5+ years of professional software engineering experience building and maintaining production applications.
5+ years of experience building or contributing to enterprise or business applications.
1+ years of experience with GenAI technologies and frameworks.
1+ years of architecting, building, and deploying machine learning models and/or automated data solutions in production environments.
Experience defining and applying AI evaluation strategies, prompt engineering techniques, and safety/guardrail patterns in real systems.
Strong knowledge of responsible AI practices: handling sensitive data, access control, PII, abuse mitigation, and human-in-the-loop patterns.
Experience with modern GenAI frameworks and tooling.
Experience operating software at scale — designing for reliability, performance, and cost in production.
Experience with observability, evaluation, and experimentation tooling for AI features.
Comfort working across the stack as needed to deliver a complete user experience.
Strong product instincts.
Experience with enterprise business applications including Salesforce, Tableau, Gong, and Pigment among others.
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Skills

Python
JavaScript
SQL
Machine Learning
Model Development & Deployment
GenAI technologies
LLM APIs
LangChain
RAG
fine-tuning
prompt engineering
AI evaluation strategies
safety/guardrail patterns
responsible AI practices
observability
evaluation
experimentation tooling for AI features
backend services
APIs
front-end integration
Salesforce
Tableau
Gong
Pigment

Location

San Francisco, CA
Sunnyvale, CA
New York, NY
Chicago, IL

Work Type

Hybrid

Experience Level

IC4/9

Education Level

Bachelor's degree in Computer Science, Engineering, or a related field, OR equivalent practical experience.

Salary/Compensations

$141,000 to $231,000

Benefits

Annual performance bonus
Stock
Benefits
Other applicable incentive compensation plans

About the Company

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.

Equal Opportunity

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 and describe the specific Accommodation requested for a disability-related limitation.
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.
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.