You will coordinate and drive early engagements on product architecture feature definition and program execution. This includes collaborating with all partner organizations relevant to a project. You will:Communicate: Provide clear timely and objective communication including regular program status updates and critical issues as needed to the executive team Coordination: Coordinate discussions and break down complex issues into manageable discussion topics to drive engineering and design alignment with support from the project team maintaining a focus on teamwork and collaboration. Planning: Create and lead a project timeline with clear dependencies critical path and systematic methodology to communicate status. Handle risks and mitigations and re-plan as events warrant. Drive alignment across the organization and between teams. Execution: Drive on-time delivery and deployment identifying development and feasibility needs establishing achievements for checkpoints and status updates. Problem-solving: Proactively identify issues and solutions and marshal resources vital to charge and resolve. Coordinate with teams to identify issues prioritize tasks and track risks to schedule and product quality including cross-functional dependencies.
8 years of experience in project or program management shipping products driven by machine-learned systems to worldwide users
Have personally orchestrated the delivery of multiple significant client/server software products requiring large organizations (100) to accomplish
An analytical approach and obsession with data a solid understanding of metrics measuring machine learning models and overall system quality
Excellent project management skills including project structuring and leading multiple work streams interdependently
Thorough knowledge of testing build and release processes for complex software
Demonstrated skill in negotiating and distilling complex technical requirements from multiple collaborators into a coherent long-term platform roadmap
Demonstrated data-driven decision-making skills including experience leading metrics-driven projects or programs.
Superior group facilitation interviewing and influence skills
Ability to communicate abstract ideas clearly and independently lead complex project objectives
Strong verbal and written communication skills including negotiation presentation and influence
Ability to independently draft and present deliverables recommendations and communication strategies
Prior PM or engineering experience in machine learning natural language understanding search
Knowledge in machine learning infrastructure and data pipeline and/or model evaluation
M.S. or Ph.D. degree with a focus in machine learning data mining or statistics
At Apple base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $172100 and $258600 and your base pay will depend on your skills qualifications experience and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage retirement benefits a range of discounted products and free services and for formal education related to advancing your career at Apple reimbursement for certain educational expenses including tuition. Additionally this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
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