GTM Tech - Application Builder

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

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. 

The Tech & Analytics team builds the analytical and automation foundation that powers LinkedIn's most important Go-to-Market decisions. We partner across Sales, Customer Success, Marketing, and Engineering to create a unified understanding of GTM performance. Our mission is to transform data into proactive insights and intelligent systems that guide LinkedIn's growth and efficiency.  

LMS TPO builds and operates the platforms that LMS sales reps use thousands of times per day to discover insights and run customer-facing reports. NEON is the LinkedIn discovery application that surfaces the right report or insight tool to each rep; CIQ sits underneath NEON and executes the templated reports those reps depend on. As a Software Engineer on this small APAC-based platform team, you will own full-stack development across both products — feature development for the NEON/CIQ frontend platform APIs for the backend, plus core data tables, ETL pipelines, and infrastructure that keep them reliable for hundreds of LinkedIn sales reps.

This role will be responsible for standard development activities including architecting cross platform solutions, authoring design documents, full stack software development, creating custom UX components, building new API capabilities, integrating with first party and third party platforms, and writing unit tests.  You will work directly with the platform tech lead and a tight-knit group of engineers, partnering with technical peers and business stakeholders. The role is a strong fit for an engineer who enjoys both shipping product features and managing the underlying platform.  You will be fluent in the use of AI IDEs and productivity tools like Claude Code, Cursor, Gemini, and Copilot to accelerate the SDLC.  Strong candidates will have experience launching AI-forward features within existing applications and transforming workflows to agentic experiences.

This is an opportunity to drive meaningful impact on the core systems infrastructure that enables LinkedIn's global advertising sales organization to operate predictably, efficiently, and at scale.

Responsibilities

• Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
• Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.
• Produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
• Identify, leverage, and successfully evangelize opportunities to improve engineering productivity, particularly through the use of agentic coding tools.

Basic Qualifications

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
• 3+ years experience in software design, development, and algorithm related solutions.
• 3+ years of professional software-engineering experience writing Python and JavaScript / TypeScript.
• 3+ years of experience designing, building, and operating production web applications and REST APIs.

Preferred Qualifications

• 3+ years of relevant work experience.
• Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.
• Experience with object-oriented design, coding, testing patterns, and programming languages (Java, C++).
• Proven coding skills in a high level language with interest and ability to learn other coding languages as needed.
• Experience building web applications and services with AI IDEs and general development practices.
• Hands-on experience with modern React framework (Next.js strongly preferred)
• Working knowledge of distributed / big-data SQL engines (Trino / Presto), columnar OLAP stores (Apache Pinot), and workflow orchestration (Airflow or Azkaban).
• Strong fundamentals in data structures, algorithms, software design, and object-oriented / functional programming patterns.
• Experience launching agentic workflows into enterprise production systems.

Suggested Skills

• Python
• JavaScript / TypeScript
• React / Next.js
• FastAPI
• Trino / Presto

India Disability Policy 

LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

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.

India Disability Policy 

LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf

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.