Summary

Description

Minimum Qualifications

• 10+ years of program management experience, with at least 5 years leading complex, technical programs in machine learning or data-driven environments.
• Strong understanding of the end-to-end machine learning lifecycle, from data collection, data/model lineage to model monitoring, including MLOps tools and techniques.
• Proven experience leading cross-functional teams and large-scale projects, ideally in Data, ML/AI or software engineering contexts.
• Excellent communication and partner management skills, with the ability to translate technical concepts into business impacts.
• Demonstrated problem-solving and risk management abilities, with experience in agile methodologies.
• Ability to drive initiatives in fast-paced environments, balancing competing priorities and managing ambiguity.
• Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts

Preferred Qualifications

• Familiarity or experience with MLOps frameworks and tools (e.g., Kubernetes, MLflow, Weights and Biases, vertex AI and so on).
• Familiarity with cloud-based ML platforms (AWS, GCP, Azure) and model deployment strategies.
• Background in Data, AI/ML, data science, or software development is a plus.
• Strong desire to learn, skills for problem solving, and the ability to make sophisticated trade-offs.
• Proficiency in multitasking and leading sophisticated programs with a track record in launching outstanding platforms to market.
• Have led and scaled a team of product/program managers. Foster a culture of innovation, accountability, and continuous improvement. Provided mentorship and career development opportunities to team members, ensuring they are motivated and equipped to meet their goals.
• Experienced closely working with engineering leaders, data science teams, and other organizations to synchronize efforts and prioritize projects that improve product impact and value.
• Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage, prioritize, and lead cross-functional teams under pressure
• Outstanding interpersonal skills, including the ability to persuade and influence a diverse set of internal Apple and external public cloud partners
• Responsible for the entire product development lifecycle from concept through launch and beyond.

Pay & Benefits

• 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 $200,400 and $301,400, 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 Apple’s 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 Apple’s Employee Stock Purchase Plan. You’ll 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.
  
  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.