Business Operations & Strategy Associate

MongoDB
New York CityPosted 2 April 2026

Job Description

MongoDB is seeking a Business Operations Strategy Associate to help drive strategic and operational initiatives across MongoDB. In this role, you will sit at the intersection of operations, analytics, finance, and product management, working closely with internal stakeholders to identify and solve complex business problems. This position requires a driven self-starter who is able to communicate clearly and effectively with leadership and successfully juggle multiple priorities. You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic, fast-paced, and challenging environment. This role is a hybrid in-office/remote role, with approximately two to three days per week in our New York City, Austin, Palo Alto, or San Francisco Office. Responsibilities Lead and coordinate cross-functional strategic initiatives to identify and execute against opportunities to improve our business Partner with our go-to-market teams to develop and implement coherent strategies and business plans Apply strategy and operations experience to uncover operational issues and drive process improvements at MongoDB Conduct ad-hoc analysis in support of cross-functional stakeholders and executive management across all business functions Embed yourself with other teams in the company to understand the relevant questions and needs of the business, and use that to inform analysis Model complex financial scenarios for the business as part of ongoing operations or planning for new deals, products, etc. Effectively communicate analytical findings to non-technical audiences Requirements BA/BS; MBA is preferred 5+ years of experience in business strategy and operations with 2-3 years as a management consultant, investment banker, or in a comparable role at a technology company; SaaS experience is a plus Proven track record of using data to drive business decisions including the ability to structure problems for analysis Excellent communication skills with the ability to synthesize strategic insights in an actionable and compelling manner Confidence using SQL for fetching and manipulating data; experience with a scripting language such as Python or R is a plus Ability to move quickly and iterate on analyses Advanced Excel and Google Slides or PowerPoint skills Comfort with ambiguity and ability to work in a self-guided manner About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disa ... (truncated, view full listing at source)
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