GTM Strategy and Operations Associate – Automation & AI

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. Were 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.

Key Responsibilities:

• 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 youre building (and what youre 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.

Qualifications :

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 dont 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 $84000-$137000. 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 Information :

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No

Employment Type :

Full-time