About The Position

As an Engineering Program Manager on Apple’s Siri Speech team, you will lead high-impact initiatives and drive the delivery and adoption of core speech technologies across speech understanding and generation. The work supports products and features across the Apple ecosystem, including Dictation, Siri Voices, FaceTime Live Captions, Voicemail Transcription, AirPods Live Translation, and Live Rewind on Apple Watch. You will collaborate with Siri engineering teams and cross-functional partners across Apple, synthesize partner requirements, prioritize critical needs, and integrate them into the broader Speech roadmap. You will serve as a domain expert, ship high-impact speech features in Siri, scale adoption across internal and external use cases, and champion partner-team success across the ecosystem. The role involves planning and managing project schedules, dependencies, critical paths, risks, and mitigations; identifying and resolving issues; coordinating cross-functional work; communicating program status and critical issues to executives; driving engineering and design alignment; and delivering deployments on time. You will also identify and implement improvements to how the team works to increase the rate at which it delivers customer value.

Requirements

  • 7+ years of experience in software project or program management for consumer products.
  • Experience with software powered by statistical learning, including machine learning and/or deep learning, and practical exposure to foundation models such as LLMs, multimodal models, or generative AI technologies.
  • Excellent project management skills, including structuring projects and managing multiple cross-functional work streams.
  • Proven track record of leading and shipping multiple complex, cross-functional projects at the same time.
  • Ability to navigate ambiguity, identify critical and urgent work, set priorities, and defend trade-offs.
  • Strong verbal and written communication skills, including negotiation, presentation, and influence.
  • Experience working cross-functionally with people at all levels of seniority and leadership.
  • BS, MS, or PhD focused in CS, CE, or EE, or equivalent experience.
  • Strong analytical thinking, analysis, and problem-solving skills.
  • Proficiency in Agile and SDLC development processes.
  • Ability to communicate abstract ideas clearly and independently manage complex project objectives.

Nice To Haves

  • Experience working with voice assistant technologies.
  • Direct experience or exposure working with frontier models, advanced model evaluation, pre-training or fine-tuning pipelines, or state-of-the-art AI architectures.
  • Familiarity with ML development workflows, including model evaluation, quality metrics, and data pipelines.

Responsibilities

  • Create and manage project schedules, dependencies, critical paths, and systematic status communication.
  • Manage risks and mitigations, and re-plan as events warrant.
  • Drive alignment across the organization and between teams.
  • Identify issues and solutions proactively, and marshal resources to resolve them.
  • Coordinate with teams to identify issues, prioritize tasks, and track schedule and product-quality risks, including cross-functional dependencies.
  • Provide clear, timely, and objective program status updates and communicate critical issues to the executive team as needed.
  • Coordinate discussions and break down complex issues into topics that drive engineering and design alignment.
  • Drive on-time delivery and deployment, identify development and feasibility needs, and establish checkpoints and status updates.
  • Reflect on team operations and propose and implement ways to improve delivery of customer value.
  • Drive delivery and adoption of Apple’s core speech technologies across speech understanding and generation.
  • Synthesize partner requirements, prioritize critical needs, and integrate them into the broader Speech roadmap.
  • Ship high-impact speech features in Siri, scale adoption across internal and external use cases, and champion partner-team success.
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