GTM Strategy & Operations Leader

Square; San Francisco (CA); On-site; USD 129,000 - 194,000; Full time

Job summary

Square in San Francisco is seeking a Manager, GTM Strategy & Operations to shape and execute sales planning across the global Sales organization. You will partner with Sales, Finance, Analytics, and Product/Engineering to design operating cadence, analytics, and system architecture that translate strategy into revenue results.

You will own complex initiatives end-to-end, drive data-driven decisions, and champion AI-native opportunities to enhance productivity and efficiency in a fast-growing

Qualifications

• 5+ years of experience in strategy and operations, revenue/sales ops or similar.
• Track record owning complex cross-functional initiatives end-to-end.
• Strong commercial instincts tied to revenue outcomes and funnel health.
• Comfort with ambiguity and ownership mindset.
• Excellent communication and stakeholder management skills.
• Hands-on experience with CRM, BI and data warehouse tools (Salesforce, Looker, Snowflake).

Responsibilities

• Shape the GTM strategy for the Sales organization, including segmentation and territory design.
• Own end-to-end cross-functional initiatives with problem framing, alignment, execution and measurement.
• Define KPIs, dashboards, and cadence (WBR/MBR) to keep leadership close to performance.
• Lead multi-functional programs and translate business goals into technical requirements.

Skills

5+ years experience in strategy & ops

Cross-functional ownership

Commercial instincts

Ambiguity tolerance

Communication & stakeholder management

CRM/BI tools

Tools

Salesforce

Looker

Snowflake

Job description

Square in San Francisco is seeking a Manager, GTM Strategy & Operations to shape and execute sales planning across the global Sales organization. You will partner with Sales, Finance, Analytics, and Product/Engineering to design operating cadence, analytics, and system architecture that translate strategy into revenue results.

You will own complex initiatives end-to-end, drive data-driven decisions, and champion AI-native opportunities to enhance productivity and efficiency in a fast-growing