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.
Responsibilities
- 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
Minimum Qualifications
- 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 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