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Salary
≈ $245k – $475k per year (Estimated)
Location
In office (New York)
Seniority
Staff · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Oct 23, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
Meta delivers 100,000+ product experiences a year across Reality Labs hardware, Meta's Family of Apps and AI, ranging from tentpole moments like Connect, CES, and Cannes Lions to executive briefings, VIP activations, and retail. Demand for Meta products continues to grow fast, and the work is more complex than ever, with more products, more audiences, and a higher bar for every touchpoint.

We're looking for an experienced, hands-on individual contributor to own how those experiences get built and delivered. This role reports to the Head of Product Experiences. About two-thirds of this role involves leading the implementation of product experiences across events, activations, and demos. The remaining third focuses on building and optimizing the systems that help the program scale, including training, measurement and insights.

We want a systems and process thinker who is just as comfortable on the event floor. You'll be in the room making the experience land, and you'll make sure the next one is better because of the systems you've built.

Responsibilities

Own end-to-end delivery of a selection of Global Product Experiences programs, in partnership with peers on the team, across tentpole events, activations, executive/VIP demos and always-on demo programs, starting from scoping and planning through on-site execution and post-event wrap-up Translate product priorities and audience goals into the demo footprint: flows, stations, staffing plans, hardware and prototype device readiness, and run of show Act as site lead on high-profile programs, directing Product Experience Specialists (PES), contingent workers and agency/vendor partners on the ground Lead workstreams across scheduling, logistics, and communications, and keep cross-functional partners (event leads, Product Marketing Managers, Product & Engineering, Creative Technology, Operations) aligned on scope, timelines, and decisions. Manage vendor and agency partners against clear scopes, quality standards, and budgets. Scope and define new programs and strategic projects, and communicate status, risks, and recommendations crisply to senior leadership Design for the audience. A developer demo, a consumer activation, and a policy dinner should each feel different. Translate product priorities and audience goals into flows, stations, staffing plans, hardware and prototype device readiness, and run of show. Write the experience brief for each program - the handshake document that aligns event leads, specialists, content, and physical setup around the audience and the product story Design operational frameworks and oversee internal teams, contingent workers, and vendor partners to sustain and scale them Training: Own the training and readiness system for a global PES workforce of over 200 specialists, including audience-segmented demo scripts, certification standards, and a training calendar that stays ahead of product launches and event schedules Measurement insights: Leverage the metrics that matter (demo quality, satisfaction, consideration, throughput) to run consistent post-event reporting; turn field insights into changes to scripts, flows, staffing, and into input for product teams' use Operating systems: Optimize the intake, prioritization, roster, and reporting workflows that let the team scale efficiently, using AI and automation as the default approach rather than an afterthought Run a disciplined debrief loop so that learnings from every program are captured and deployed into the next one Build AI-native systems and shape the AI experience AI-native operations: Redesign workflows with AI as the foundation, not a layer on top - AI-assisted script drafting from product briefs, roster intelligence that matches certified specialists to the right events, and automated post-event reporting. The goal is to have workflows that wouldn't exist without AI

Qualifications

6+ years of experience in program management, operations, strategy, or experiential/event production, ideally in consumer tech or hardware A track record of leading the delivery of high-profile initiatives from concept through on-site execution Systems and process background: a proven track record designing, building and scaling operational systems, such as training and certification programs, intake and prioritization workflows, measurement frameworks or reporting, that measurably improved quality, speed or efficiency Experience directing distributed teams, agencies and vendors across multiple regions Experience influencing senior cross-functional partners and communicating to executive audiences Hands-on experience building AI-powered or automated workflows that changed how a team operates Ability to travel 25-30%, including on-site event leadership Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience in a strategy and operations (BizOps) role at a technology or consumer company, or as a management consultant, with a track record of structuring ambiguous problems and turning recommendations into operating changes Experience designing AI-powered or automated workflows specifically within experiential or event operations contexts Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience defining metrics and turning data into program changes Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience managing prototype hardware and technical demo flows with Product & Engineering teams Familiarity with Meta's product ecosystem (AI glasses, Meta VR, Meta AI)

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