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As the Business Operations Manager for Applied AI Engineering (AAI Eng) organization, you will be a part of the team that manages the business operations across the entire org, working closely with leadership to help them grow, scale and run the business effectively. You will manage strategic initiatives ranging from business operations, process improvement, headcount movement, and employee engagement programs, enabling our team to execute and innovate at speed. AAI Engineering's mission is to make our AI models the industry-leading by building the data engine that helps our models get better, faster.
Job Responsibility
Lead the scoping, structuring, and execution of high-priority cross-functional initiatives, from problem definition through delivery
Develop executive briefing materials, pre-read documents, and strategic frameworks that enable leadership to make high-quality decisions quickly in ambiguous and fast-moving contexts
Influence leadership teams by providing recommendations backed by data
Work with leadership to track progress on strategic projects, build decision-making frameworks, and ensure deliverables are on track
Leverage cross-functional relationships to drive company-wide touchpoints and leadership processes
Develop streamlined processes and mechanisms to improve operational efficiency and communication
Engage effectively with new teams and organizational contexts, independently identifying challenges and delivering actionable recommendations
Provide strategic partnership on organizational design, headcount planning, and operational model evolution in support of long-term business objectives
Requirements
Bachelor's or Master's degree in a relevant field
12+ years of experience in business strategy at a leading or startup tech company and/or in strategy consulting
Quantitative, analytical, and conceptual problem-solving skills, combined with business acumen
Experience problem-solving individually and in a group setting, with an AI-first mindset
Demonstrated ability to navigate senior stakeholder dynamics and influence decision-making
Track record of leading complex, ambiguous, cross-functional initiatives from inception to delivery in large, matrixed organizations with measurable outcomes
Experience designing and implementing operational infrastructure that enables executive organizations to operate at scale
Excellent communication skills, including the ability to produce clear, well-crafted documents and presentations
Experience communicating complex strategic and operational content to executive audiences through written briefings, structured frameworks, and stakeholder presentations
Nice to have
Background in tech, in an engineering, financial, project management, or operational capacity
Background in corporate strategy experience with demonstrated deployment into high-ambiguity organizational environments
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ability to integrate AI tools and emerging technologies to redesign executive workflows, improve decision quality, and drive measurable operational efficiency gains
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience working with confidential information while maintaining discretion
B.A. or B.S. degree in business, finance, or engineering