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Location
In office (Menlo Park)
Seniority
Architect · 12+ years exp
Visa
H-1B filings in 12 months: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Sep 25, 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.
At Meta, we're shaping innovative experiences in service of giving people the power to build community and bring the world closer together. Our multidisciplinary product teams are creating new ways to help people connect, find communities and grow businesses. Together, we are committed to building innovative technologies - Facebook, Instagram, Messenger, WhatsApp, Workplace, Meta Quest and more - to serve billions of people around the globe.

Meta Product Management Leaders work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for extremely entrepreneurial Product Management Leaders to help innovate and execute product initiatives across the company, value moving quickly, and drive AI transformation across their organizations. This job description represents different full-time roles across our suite of products and platform.

Responsibilities

Is the primary driver for identifying and shaping transformative, long-term opportunities across multiple large Product areas or portfolios, setting vision and strategy that influences Meta’s broader organizational and industry direction. Generates buy-in and drives consensus across multiple organizations and senior leadership, bringing clarity and structure to highly ambiguous, company-level opportunities; consistently demonstrates initiative and executes with minimal oversight, often setting new standards. Set the standard for critically evaluating when AI is (and isn't) the optimal solution across product portfolios. Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide excellence. Lead a team through the ideation, technical development, and launch of innovative products. Drive product development with a team of world-class engineers and designers. Attract, build, manage, and develop a talented team of product managers and product leaders with a broad range of experiences, perspectives, approaches, and backgrounds-with emphasis on AI-native capabilities. Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale. Foster a culture of rapid experimentation and learning that becomes a competitive advantage for the organization. Scale AI best practices (including responsible AI use), workflows, and artifacts across teams so organizational capability compounds over time. Orchestrate complex execution across multiple teams and organizations by combining AI automation with strategic human oversight. Maximize efficiency in a constantly evolving environment where the process is fluid and innovative solutions are the norm. Set expectations for PM technical capability, including use of AI-enabled tools to build products. Integrate usability studies, research and market analysis into product requirements to enhance user satisfaction. Ensure teams understand system/architecture trade-offs and how they impact user experience and business outcomes. Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for executive, engineering, and cross-functional audiences. Define and analyze metrics that inform the success of products. Establish evaluation (evals) as a first-class product practice across teams for AI-powered experiences. Drive decision-making through user insights, quantitative analysis, and AI-accelerated experimentation.

Qualifications

12+ years of experience in Product Management and/or Product Design 10+ years of experience working collaboratively with engineering, design and user research teams 8+ years of experience hiring, managing, and developing both individual contributors and senior leaders Critical thinking/analytical leadership experience Experience presenting to senior executive audiences BA/BS in Computer Science or related field

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