Senior Engineering Program Manager AIML, Apple Services Engineering

Apple Services Engineering (ASE) is an exciting u0026 dynamic organization with customers in 155 countries producing innovative products in a fast-growing marketplace for music video podcasts books - and of course apps. This is a hands-on position where you will be involved in requirements analysis functional and technical design discussions testing proof-of-concept working with partners and more. This is not a task-based job; you will be responsible for successful outcomes and delivery. Strong fundamentals are a requirement but you have to have more. You take responsibility; you feel a personal stake in the products you ship; you communicate responsibilities and scope clearly; you value integrity; you know how things work; you work for the success of the entire team; you thrive in uncertainty and strive to bring order to it; you have deep wisdom u0026 judgement; you keep your eye on the ball; you build strong relationships; you are constantly looking to improve yourself and your team; youre prescient; and you have shipped products which millions of customers have used.

Drive the end-to-end delivery of large-scale cross-functional Machine Learning (ML) and Generative AI (GenAI) programs and features within Apple Media Products (AMP). nLead the strategic planning execution and delivery of multiple concurrent ML/GenAI features encompassing scope definition requirements gathering timeline management and resource strong collaborative relationships with cross-functional partners (Design Engineering Data Science QA Legal Finance Privacy Anti-Fraud Business Operations) to define product roadmaps and manage the feature intake initiatives to optimize feature development and execution processes within the Apple Media Products organization driving continuous to the overall ML/GenAI strategy for AMP effectively communicating program status risks and mitigation plans to stakeholders at all levels.n

Drive technical scoping effort estimation and resource allocation discussions with engineering research and cross-functional teams to ensure realistic and achievable high-level App Store AI/ML Search product vision and research goals into detailed actionable engineering roadmaps and technical execution plans. This involves defining technical scope breaking down complex initiatives into manageable phases identifying key engineering deliverables and ensuring alignment across stakeholders including Product Engineering Data Engineering Platform teams and the end-to-end engineering execution of project initiatives. This includes orchestrating efforts across specialized engineering teams (ML Data Platform SRE) tracking progress against technical milestones facilitating technical decision-making coordinating launch and managing post launch identify analyze and mitigate technical blockers architectural challenges and inter-team dependencies inherent in Gen AI/ML development (e.g. data quality issues compute resource contention model scalability integration complexities). Develop contingency plans and drive resolution to keep engineering programs on clear concise and effective technical communication across diverse engineering teams and with relevant stakeholders (Product Research Privacy Legal and Leadership). Articulate complex engineering progress technical trade-offs challenges and proposed solutions ensuring alignment informed decision-making and transparency throughout the program lifecycle.n

5 years of program management experience including experience taking features through the complete software development and ML life cycle with multiple experience managing end-to-end Machine Learning projects. This includes understanding the full ML lifecycle from data acquisition feature engineering model training evaluation deployment monitoring and iterative in Computer Science Computer Engineering or similar field or relevant industry experience.n

Experience to execute cross-functional and cross-organization project management - ability to work across diverse teams navigate organizational landscape build relationships and drive project to understand and extract action plans from complex technical discussions u0026 translate into succinct messaging for multi-functional and executive status global products by collaborating across Product Engineering Data Sciences Analytics Design and other key track record of shipping complex customer-facing and backend engineering projects under demanding facilitation skills (requirements sessions design meetings progress and status meetings).nBest-in-class communication and presentation skills (written u0026 verbal) to all levels of an able to work with ambiguity organize u0026 create order.n