Log In
Sign Up
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.
Job Description
This role is based in either our San Francisco, New York, or Chicago offices.
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.
As part of the Technology & Product Operations organization, you will build the AI agents and agentic workflows that transform how our Product Experience and GTM organizations operate, turning manual, multi-step operational work into automated, agent-driven systems that reduce friction, accelerate execution, and unlock new ways of working across our member, customer, and GTM experiences.
You will architect agentic systems, write production-grade code using AI tools, and mentor operations and analytics colleagues. You will own complex initiatives end-to-end, from prototyping new concepts to deploying scalable production systems, and partner with R&D to leverage our internal platforms and shape their evolution.
We are seeking a talented and driven product builder who combines deep familiarity with how GTM teams actually operate with applied expertise in modern AI tools and techniques. You bring sharp product judgment, engineering rigor, and a growth mindset. You are comfortable navigating large, complex, and ambiguous GTM data ecosystems, and you influence cross-functional stakeholders through strong relationship-building and collaboration.
Responsibilities
-
Architect & Build
Lead the hands-on design, development, and deployment of agentic workflows, multi-agent systems, and AI-powered applications that automate complex GTM processes (e.g., lead qualification, account research, pipeline reviews, quota planning, and proactive seller alerts) and Product Experience processes (e.g., member friction, customer impact, anomaly detection)
Technical Strategy
Define the agentic AI roadmap and architecture for the Technology & Product Operations org, including key decisions on frameworks, tooling, AI evaluation, and best practices. Partner with R&D to build on our internal platforms and data infrastructure,and provide product feedback that shapes their evolution.
- End-to-End Delivery
Write (or co-write with AI) high-quality, production-ready Python and SQL to build and maintain agentic workflows, GTM system integrations, and the automated pipelines that support advanced analytics, and insight-delivery systems
- GTM Stack Orchestration
Develop deep, bi-directional integrations between AI agents and our core GTM toolkit, ensuring our stack operates as a unified, agent-driven system.
- Applied AI Integration
Serve as the subject matter expert on applying modern AI, LLMs, and agentic patterns (e.g., tool use, RAG, multi-agent orchestration, evals, human-in-the-loop) to solve GTM business problems in partnership with Operations, Data Science, and Engineering teams.
- Technical Mentorship
Mentor operations and analytics colleagues on AI tooling and applications, setting a high bar for technical rigor, code quality, and engineering best practices through a lead-by-example approach.
- Performance, Cost, and Governance
Establish KPIs for every agent you ship (e.g., autonomous resolution rate, time saved per workflow, cost per task), continuously optimize for quality and efficiency, and implement guardrails so agents operate within LinkedIn’s responsible AI and data privacy standards.
- Executive Storytelling
Translate complex technical concepts and agent behavior into clear, concise, and actionable narratives for senior GTM and Operations leadership.
- Cross-Functional Partnership
Collaborate with Product, Engineering, and Data Science teams to operationalize and scale agentic systems from prototype to production, ensuring reliability and measurable business impact across the GTM and Product organization.
Qualifications
Basic Qualifications
- 2+ years of experience building tools, workflows, or products for GTM functions (Sales, Marketing, Customer Success, Revenue Operations), or embedded directly within a GTM, Sales Ops, or Revenue Operations team.
- SQL experience with large-scale data warehouses (e.g., Presto, Trino, Spark SQL).
- 1+ years of experience with GenAI technologies, LLM APIs, and agent frameworks (e.g., LangChain, LangGraph, LlamaIndex, or equivalent).
- 1+ years of architecting, building, and deploying AI-powered applications, agents, or automated solutions in production environments.
- BA/BS in Computer Science, Statistics, Operations Research, Engineering, or a related quantitative field (or equivalent practical experience).
Preferred Qualifications
- Working knowledge of the lead-to-revenue lifecycle, sales processes, and customer journey.
- Experience in software engineering, applied AI, data science, or analytics engineering, with a track record of shipping production systems.
- Experience integrating with GTM systems such as Salesforce/Dynamics, Outreach, Gong, Marketo, or Slack
- Experience designing evaluations, guardrails, and monitoring for LLM-based systems.
- Experience as an “AI builder” or “automation lead” embedded within a GTM, Revenue Ops, or Sales Strategy team at a B2B SaaS company.
- Proven ability to lead ambiguous, complex technical initiatives from 0 to 1.
- Demonstrated experience influencing technical roadmaps in fast-moving environments.
- Resilient, resourceful, and self-directed with a strong bias for action.
- Passion for AI with a clear, strategic perspective on applying agentic systems to drive business outcomes.
Suggested Skills
- Agentic AI & LLM Application Development
- GTM Systems Integration
- Python
- SQL
- AI Model & System Deployment
- Prompt Engineering & Evaluation
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $138,000 – $225,000.
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 and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36
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 and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
