Manager, Product Operations

We’re seeking a Manager, Wrist Product & Technical Operations to lead Hardware NPI execution for Wrist products within Product & Tech Ops. This leader will directly manage Manufacturing Technical Managers (MTMs) and drive end-to-end readiness from early NPI through ramp.This role leads through both direct management and matrixed influence across GSM, DFX, and MTE partners, and regularly aligns with Engineering and Product Management leadership as well as FATP supplier leadership.AI-first efficiency expectation: A core expectation of this leader is to make AI the primary path to driving step-change efficiency in Wearables NPI planning and execution—reducing manual coordination and reporting, increasing decision velocity, improving predictability, and enabling the organization to scale program load without proportional headcount growth.Manager, Product Operations Responsibilities:Own Hardware NPI execution (portfolio operating system): Own end-to-end NPI execution across development phases, including integrated schedules, critical path management, and phase-exit readiness. Build and run the Wearables NPI operating cadence: milestone reviews, cross-functional business reviews, risk and change control, and launch/ramp governance. Create durable program mechanisms (single source of truth, readiness gates, decision logs, escalation paths) so teams can execute with high autonomy and accountabilityManufacturing Readiness Ownership: Manage Manufacturing Technical Managers (MTMs) as the manufacturing owners for Wearables NPI, accountable for: Factory line readiness as a single source of truth enabling NPI builds and execution. 1) Manufacturing process intent/flow and manufacturing plan maturity through NPI 2) Line layout readiness, equipment/fixture planning, and CAPEX planning/spend governance through NPI 3) Ownership of manufacturing outcomes (e.g., FPY/LPY, UPH, efficiency) and clear ramp trajectories 4) Major Issues List rigor and driving failure analysis + corrective actions (FACA) to meet readiness and performance targets 5) Build a high-performing MTM org through hiring, onboarding, coaching, performance management, and clear role expectationsMatrixed leadership across GSM, DFX, MTE & CMM Drive alignment and execution across a matrixed ecosystem of partners including GSM, DFX, and MTE to ensure decisions, requirements, and readiness actions land on time. Ensure clean interlocks between manufacturing readiness, test strategy, DFX requirements, supply/material readiness, and build execution. Establish and enforce cross-functional SLAs for updates, escalations, and deliverables needed to hit build and ramp milestonesPartner with Engineering/Product leadership + FATP supplier executives: Own the governance model for Wearables NPI readiness, aligning Engineering and Product Management leadership and FATP supplier executives on plan-of-record, tradeoffs, and phase-exit criteria. Drive fast, well-documented decisions (schedule ↔ quality ↔ cost), with clear options, recommendations, and accountability. Represent Wearables Product & Tech Ops in executive forumssurface risks early and mobilize cross-org resources to resolve themInternal database leverage: Make internal systems the single source of truth for: build plans, readiness status, decisions, dependencies, manufacturing metrics/results, and cost tracking. Raise bar on data hygiene: consistent taxonomy, ownership, update SLAs, and adoption across teams. Replace manual reporting with automated rollupsensure reviews are run directly from canonical dataAI-first execution efficiency: Make AI the default approach to reducing operational friction and improving planning/execution quality—identifying repeatable workflows and replacing manual work with AI-enabled automation. Deploy AI/automation across core NPI workflows (e.g., plan/status synthesis, meeting-to-actions, risk signal extraction, dependency mapping, change-log summarization) with clear accuracy standards and traceability to source data. Set and deliver measurable targets tied to planning/execution efficiency (e.g., reduced manual reporting effort, faster decision cycles, improved milestone predictability, reduced issue aging), and drive adoption through training, workflow integration, and usage/impact tracking. Establish guardrails (quality checks, human-in-the-loop controls, privacy/compliance considerations) to ensure trustworthy AI outputsRamp curves + Cost Ownership: Define and drive ramp curves (build volume, yield maturation, UPH/efficiency trajectory), aligning constraints across factory readiness, staffing, and materials. Own cost leadership mechanisms in partnership with Finance/Sourcing, Product Cost Engineering and supplier leadership: 1) CAPEX governance and investment tradeoffs 2) Cost-down roadmaps and variance management 3) Clear visibility into the cost-to-deliver implications of program choicesPeople leadership: Set clear goals and expectationscoach and develop a team that consistently executes in ambiguity and high stakes environments. Build an environment of operational rigor, transparency, continuous improvement, ownership and accountability and AI-first operational modelMinimum Qualifications:Bachelor degree in Engineering (ME, EE, IE)Experience driving manufacturing readiness and performance outcomes in partnership with factory and supplier teams10+ years experience leading complex hardware programs (NPI, manufacturing/technical operations, program leadership, or equivalent)6+ years people management experienceExperience with product launches in the consumer spaceProven track record on driving program KPIs and ownership on Quality, Cost and DeliveryExperience leading programs in APACPreferred Qualifications:Experience leading executive-level vendor relationships and driving outcomes through complex supplier ecosystemsExperience driving operational efficiency improvements via automation and/or AI with measurable outcomesCost leadership experience including CAPEX governance, cost-down programs, and financial tradeoff decision-makingExperience leading manufacturing operations teamsDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.$199,000/year to $272,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.