Job Details

AI Operations Lead, Original Content Operations

Culver City, California, United States

Software and Services

Summary

Posted: Sep 24, 2025

Weekly Hours: 40

Role Number: 200622686-0670

Join a highly-energized environment with talented creative and operational minds within Apple's Original Content Operations team. We are seeking a visionary and hands-on AI Operations Lead to spearhead the strategic integration and operationalization of Artificial Intelligence. This role is crucial for transforming how our teams work, driving significant efficiency gains by leveraging AI to scale our existing strengths and proven operational methods, and fostering innovation across Original Content Operations.

Description

You will be the catalyst for change, constantly identifying repetitive tasks and building intelligent, AI-powered workflows to empower our teams. This involves the strategic ability to think big, envisioning large-scale AI transformation, while pragmatically breaking down complex workflows into manageable, automatable components. Beyond technical implementation, a critical aspect of this role is driving behavioral adoption, ensuring that the solutions we build are embraced and utilized. You will operate outside the day-to-day execution, singularly focused on making our content operations more efficient through the strategic application of AI. This role will bridge the gap between operational needs and technical capabilities, fostering close collaboration with internal engineering and systems teams to scale AI innovations within Apple's robust technology environment. This role requires a deep passion for AI, a "tinkering" mindset, and a strong process orientation. We are looking for an "AI native" – someone who lives and breathes the latest in AI and is eager to apply that knowledge to revolutionize our operations.

Responsibilities

• AI Strategy & Implementation: Develop and execute a comprehensive AI strategy aligned with Apple's technology roadmap. Identify high-impact areas for AI adoption, prioritize initiatives, and oversee the implementation of AI-powered solutions across Original Content Operations.

• Workflow Automation & Optimization: Proactively identify operational inefficiencies and manual processes. Design, build, and implement AI-powered prompts, workflows, and tools to automate tasks, optimize workflows, and scale existing strengths, creating 'unlimited time offers' that maximize team efficiency.

• Cross-Functional Collaboration & Partnership: Partner closely with internal engineering, operations, and vendor teams to integrate AI capabilities into existing platforms, transition successful prototypes into scalable enterprise solutions, and ensure alignment with technology infrastructure and development cycles.

• Responsible AI & Governance: Establish and ensure adherence to best practices for responsible AI deployment, including data privacy, ethical considerations, and compliance with Apple's internal policies and guidelines.

• Vendor Optimization & Integration: Optimize strategic engagement with our extensive vendor ecosystem, evaluating "build vs. buy" decisions for AI solutions and partnering with procurement to ensure effective vendor integration and performance within Apple's technical and security frameworks.

• AI Training & Change Management: Develop and implement training programs and resources to empower team members to effectively utilize AI tools and workflows, fostering a culture of continuous learning and skill development. Collaborate with team leads to document processes and create actionable playbooks for AI model training.

• Performance Measurement & Optimization: Define and track key performance indicators (KPIs) to measure the effectiveness of AI solutions. Establish a framework for rapid experimentation and iterative development, actively soliciting and incorporating user feedback to refine AI models and improve performance.

• Long-term AIML Strategy: Contribute to the development of a broader AIML strategy for the original content operations lifecycle, encompassing end-to-end media operations, global localization & accessibility, scalable platform distribution, and operational excellence in systems and data workflows, in collaboration with relevant technology and operations stakeholders.

Minimum Qualifications

• 5-7 years of progressive experience in operations management, process optimization, or a related field. This includes a minimum of 3-5 years specifically applying Artificial Intelligence (AI) and Machine Learning (ML) to drive operational transformation.

• We value candidates who are 'AI native' and possess deep, hands-on expertise in AI/ML. For such exceptional candidates demonstrating strong operational acumen, we may consider a slightly shorter overall operations tenure.

• Deep, hands-on experience with cutting-edge AI/ML tools and concepts, including practical application of large language models (LLMs) like Gemini and Anthropic, with a strong emphasis on clear and effective communication techniques to elicit desired outputs from AI models.

• Proven ability to identify operational inefficiencies and design/implement practical, scalable automation solutions.

• Demonstrated ability to collaborate effectively with engineering, product, and cross functional teams to deliver technology solutions within complex organizational structures.

• Experience in integrating third-party solutions, particularly in the context of emerging technologies.

• Exceptional change management and communication skills, with a track record of successfully driving adoption of new technologies and processes across diverse teams.

• A "tinkering" mindset; a genuine passion for exploring, building, and experimenting with AI tools and technologies.

• Process-oriented with a strong analytical approach to problem-solving.

• Strong understanding of data principles and how data is used to train and improve AI models.

Preferred Qualifications

• Experience building or managing prompt libraries, AI workflow orchestration platforms, or similar automation frameworks.

• Background in product or program management for AI/ML initiatives.

• Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Business Administration, Operations Management).

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 $112,500 and $231,700, 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. (https://www.apple.com/careers/us/benefits.html)

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 seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.