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This role will be based in San Francisco or New York.
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 GTM Innovation Hub builds the tools, automation, and analytical systems that LinkedIn Talent Solutions Sales Operations runs on. We partner with Sales Ops, CRM, and Analytics teams to design and scale data-driven workflows for forecasting, planning, segmentation, and quota setting.
This is not a traditional Sales Operations role. We're hiring builders who pair technical depth with business judgment — people who can take an ambiguous GTM problem, translate it into a structured analytical or technical solution, and ship something that gets used.
As a GTM Strategy and Operations Associate, you will design, build, and operationalize the systems that move the organization from manual, ad hoc analysis to repeatable, automated workflows that scale across regions and segments.
Diagnose before you build — work directly with Sales, Finance, and GTM stakeholders to understand root causes and prioritize problems by business impact before deciding what to build.
Build and ship AI-powered tools — design, develop, and deploy LLM-powered applications, agents, and internal tools that solve real GTM problems across forecasting, quota setting, territory planning, segmentation, and performance reporting.
Automate workflows end-to-end — identify high-value manual processes and replace them with reliable, production-grade automations.
Build data pipelines and surface insights — design lightweight pipelines that move and transform operational data; perform deep-dive analyses on large datasets (CRM, financial, customer) to identify leading indicators, risks, and opportunities.
Partner closely with stakeholders — run discovery on specific problems with Sales, Finance, and GTM teams; clarify scope; demo work-in-progress; incorporate feedback. Build trust through reliable delivery.
Communicate clearly across audiences — explain technical trade-offs in plain business language; make the case for what you're building (and what you're not) with both peers and senior leaders.
Document and scale your work — write clear documentation so others can maintain, extend, and learn from what you build; support adoption across Sales and Operations partners.
Basic Qualifications:
BA/BS in a quantitative or technical field (Computer Science, Engineering, Data Science, Analytics, Economics, Business, or similar) — or related equivalent experience.
2+ years of experience in a strategic, analytical, or operational role (e.g., Sales Operations, Business Operations, Consulting, Finance, Analytics).
2+ years of experience building automations workflows or data tools in a professional setting, with real users and real stakes.
1+ years of experience of hands-on experience with at least one LLM API (OpenAI, Anthropic, Google, etc.) — including prompt engineering, tool use / function calling, etc.
1+ years of experience with Python for building and integrating tools and APIs.
2+ years of experience of SQL and excel for analysis and prototyping.
2+ years of experience working directly with business stakeholders — scoping ambiguous asks, gathering requirements, presenting work-in-progress, and incorporating feedback. Comfortable contributing in meetings with senior leaders, even if you don't run them
Preferred Qualifications
Experience in a GTM, Sales, Revenue, Finance, or operations-adjacent context — Sales Ops, Rev Ops, Analytics Engineering, technical consulting, or strategy roles with a heavy build component.
Working understanding of core Sales/GTM concepts: quota setting, territory design, pipeline coverage, forecasting, or incentive compensation.
Familiarity with CRM and planning systems (D365, Salesforce, Anaplan) as both business systems and integration targets.
Experience automating end-to-end workflows that move data and trigger actions across multiple systems.
Experience building with agentic frameworks,
Familiarity with modern data tooling (e.g., dbt) for transforming and modeling analytical data.
Evaluation mindset — ability to define success metrics for AI tools and build lightweight evals to track quality over time.
Experience surfacing outputs via dashboards (BI tools or code-built) and building executive-ready narratives around what the data shows.
Suggested Skills
SQL
Systems-oriented mindset: ability to understand end-to-end GTM processes and improve them through automation and analytics.
Data automation & workflow design
Advanced Excel modeling
Analytics & decision support
AI-enabled insights and automation (conceptual or applied)
Executive communication
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $84,000-$137,000. 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.
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.
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
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.
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