Sales Strategy & Operations Business Partner

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Global GTM Operations team is responsible for overall productivity and effectiveness of the sales organization, partnering closely with the sales team and teams across Stripe to drive initiatives. Within this, the Strategy and Operations organization is at the forefront of driving revenue and growth. This is an incredible opportunity to be part of the team that plays an integral role in shaping and executing GTM strategies with sales and marketing leaders of the business. We're looking for a proactive self-starter who is passionate about their work, detail-oriented, and data-driven, with demonstrated success in navigating ambiguity in a high-growth environment. What you’ll do By being part of our Sales Strategy and Operations team, you'll partner with GTM leadership and the broader Sales and Marketing (PMM, Demand Marketing, Sales Development) team to drive the overall effectiveness of the organization. Responsibilities include assessing the health of our sales pipeline, go-to-market analysis, reporting, sales pipeline process optimization, and sales program orchestration. You'll have significant experience in (1) scaling a technology sales organization, (2) contributing to the growth and development of a sales operations team, and (3) superior communication skills to work across the most senior stakeholders. Responsibilities Partner with senior sales and marketing leadership to define and execute go-to-market strategies and resource plans with a specific focus on assessing the health of our sales pipeline Analyze data trends to provide insights on key pipeline performance metrics and identify roadblocks. Proactively work to remove obstacles and support in the development of mitigation action plans against performance gaps Create and manage operational processes for annual planning, territory planning, target setting, and forecasting to streamline operations Co-own the rhythm of business, ensuring strong operational rigor. Facilitate key mechanisms, including weekly forecasting, pipeline reviews, and monthly and quarterly business reviews Develop and execute initiatives and workflows designed to optimize sales team efficiency and productivity Oversee the implementation of enabling systems and tools, coordinating closely with internal systems, seller experience, sales enablement, and sales strategy and operations specialist teams Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 7+ years of sales strategy and operations experience in a high-tech growth company, or operational and strategy experience in investment banking, management consulting, or business insights or analytics roles Strong business acumen and distinctive problem-solving skills Ability to solve complex and diverse business problems (commercial, operational, organizational) Proficient SQL and advanced Google Sheets and Excel skills. Experience working with large datasets Stakeholder management skills with strong communication and influencing skills A hands-on mentality and ability to work well under pressure, with a high degree of adaptability and flexibility in a fast-paced, ambiguous, and rapidly changing environment Preferred qualifications Sales strategy and operations business partnership experience in a high-growth sales team Experience with usage-based business models Bachelor's degree in a related field (e.g. Finance, Business, Engineering, Mathematics) MBA or higher degree in a quantitative field Expertise in leveraging AI and automation to drive high-impact analysis and enhance analysis productivity Technical proficiency in writing complex SQL queries and manipulating large datasets