Full-Time
Knowledge Management Specialist
People Operations
Posted on 9/25/2025
Meta
10,001+ employees
Global social networks and advertising platform
Compensation Overview
$151k - $208k/yr
Company Historically Provides H1B Sponsorship
Fremont, CA, USA + 2 more
More locations: San Francisco, CA, USA | Menlo Park, CA, USA
Hybrid
Candidates must be based in California if hired for this position.
 AI & Machine Learning (2) |
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- Bachelor's degree in a directly related field, or equivalent practical experience
- Certification in knowledge management, AI/ML applications, and/or strategic planning methodologies
- 10+ years of progressive experience in strategic program management
- Proven track record of leading innovation projects involving AI, machine learning, or advanced analytics in enterprise environments
- Demonstrated experience with AI-powered content management systems, natural language processing tools, or intelligent automation platforms
- Proven strategic thinking with experience in scenario planning, trend analysis, and future-focused program design
- Advanced communication skills with proven experience in translating complex AI concepts for different audiences and drive organizational change
- Experience collaborating with engineering, data science, and product teams in time-sensitive technology environments
- Proficiency in agile project management methodologies and experience managing ambiguous, evolving initiatives
- Create and implement AI-driven systems for finding and recommending knowledge, helping to uncover key insights across HR domains
- Carry out strategic knowledge checks using predictive analytics to spot where we're missing information
- Develop knowledge strategies based on different and changing scenarios to get the organization ready for new HR trends, policy changes, and shifts in business models
- Lead innovative projects with multiple teams to bring together knowledge management with data, AI tools, and our content management systems
- Help create smart content systems that use natural language processing to automate content creation, tagging, and optimization
- Work with engineering to build AI-powered content personalization and dynamic knowledge delivery
- Help design and test conversational AI for HR knowledge and employee self-service
- Develop new content formats like AI-generated learning paths and predictive knowledge recommendations
- Spearhead strategic initiatives, shifting knowledge management from reactive to predictive through trend analysis and forecasting
- Collaborate with strategic planning teams to align knowledge systems with long-term organizational goals and evolving business needs
- Develop change management strategies for AI adoption across HR teams, including training programs and deliverables
- Research knowledge management innovations in big tech, implementing cutting-edge practices and emerging technologies
- Develop strategic roadmaps for knowledge system evolution, incorporating emerging technologies like generative AI, voice interfaces, and augmented reality
- Lead complex projects with multiple teams across AI, system integrations, and organizational changes
- Work with product managers and other teams to create new knowledge experiences that users will love
- Use agile methods to quickly build and test new knowledge solutions
- Define what makes AI-powered knowledge projects successful, using data and business results to show their impact
- Master's degree in Information Science, AI/ML, Strategic Management, or related field
- Experience implementing generative AI solutions, conversational interfaces, or predictive analytics in HR or enterprise environments
- Experience with emerging technologies including voice interfaces, AR/VR learning platforms, or advanced data visualization tools
- Track record of successful vendor partnerships for AI technology implementation and strategic consulting
- Experience leading globally distributed teams in innovation and technology adoption
- Working understanding of big tech operational models, scaling challenges, and strategic planning processes
- Knowledge of AI ethics, bias mitigation, and responsible AI implementation in HR contexts
- Strategic program management in HR technology, AI implementation, or organizational development
Meta Platforms Inc. runs a family of social apps including Facebook, Instagram, and WhatsApp to help people connect, share content, and participate in online communities. It also develops virtual reality hardware and experiences through Oculus and is exploring the metaverse. Most revenue comes from advertising, with tools that let businesses target audiences using data from its large user base, plus VR product sales and digital services. The company differentiates itself by owning multiple major social platforms, offering a scalable cross-platform ad platform, and investing in VR, AR, and AI to expand digital experiences and monetization opportunities.
Company Size
10,001+
Company Stage
IPO
Headquarters
Menlo Park, California
Founded
2004
Simplify's Take
What believers are saying
- Q1 2026 revenue surged 33% to $56.3B from AI-driven ad placement improvements.
- $1B Beaver Dam data center approved with 220MW power for 10 years from 2027.
- Stock trades at 19x forward earnings discount to S&P 500 after 20% dip.
What critics are saying
- UK Ofcom imposes $20B fines under Online Safety Act using 10% global revenue.
- Publishers win Llama AI lawsuit, forcing $1B+ damages by mid-2028.
- TikTok erodes Instagram engagement, slashing ad growth to single digits by May 2027.
What makes Meta unique
- Meta integrates AI on Threads for real-time trend queries like World Cup discussions.
- Meta deploys AI to detect underage users via height and bone structure analysis.
- Meta owns Facebook, Instagram, WhatsApp with 97.8% ad revenue in 2023.
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Benefits
Stock Options
Company Equity
Mental Health Support
Flexible Work Hours
Company News
Opposition to data centres has become a significant issue ahead of the US midterm elections, with voters unseating local politicians who support them. Residents cite concerns over water pollution, noise, power demands and environmental degradation. In Missouri, four city council members lost their seats over supporting a $6 billion data centre. Similar ousters occurred in Independence, Missouri, and rural North Carolina. The backlash crosses party lines, prompting state legislatures nationwide to consider bills ranging from eliminating tax incentives to construction moratoriums. Despite generating substantial tax revenue and construction jobs, communities increasingly resist these developments. Virginia, which has the most data centres, is considering eliminating sales tax exemptions worth $1.9 billion. President Trump has acknowledged affordability concerns whilst supporting development, though his proposals lack enforcement mechanisms.
Meta is raising prices for its Quest VR headsets by $50–$100 (12–20%) from 19 April, citing a global surge in memory chip prices affecting consumer electronics. However, Meta's own spending priorities have contributed to this component shortage. The company plans to spend $115–$135 billion on capital expenditures this year, up from $72 billion in 2025 and $28 billion in 2023, with most investment directed towards AI infrastructure. This includes $21 billion for data centre company CoreWeave and $10 billion for an El Paso data centre. Meta's AI spending forms part of $630 billion in industry-wide AI infrastructure investment pledged for 2026, driving up prices for RAM and GPUs. Meanwhile, Meta is reportedly planning spending cuts of up to 30% for its metaverse division, which has accumulated $73 billion in losses.
Meta and Broadcom have announced a strategic partnership under which the chipmaker will provide technology supporting Meta's training and inference accelerator chips through 2029. The deal extends Meta's custom AI chip development plans as the social media giant continues to invest in artificial intelligence infrastructure.
Meta and Broadcom have announced an extended partnership through 2029 for designing Meta's custom AI accelerators. Meta has committed to deploying one gigawatt of its training and inference accelerators under the agreement. The deal expands an existing collaboration between the two companies focused on Meta's in-house chip development. As part of the arrangement, Broadcom CEO Hock Tan has agreed to leave Meta's board of directors. Broadcom shares rose 3% in extended trading following the announcement. The partnership underscores Meta's continued investment in custom silicon to power its artificial intelligence infrastructure and reduce reliance on third-party chip suppliers.
Broadcom and Meta have announced a multi-year strategic partnership to support Meta's AI compute infrastructure through 2029. The collaboration centres on Meta Training and Inference Accelerator (MTIA) chips, with an initial deployment exceeding one gigawatt as part of a sustained multi-gigawatt rollout. The partnership will deliver what the companies call the industry's first 2nm AI compute accelerator. Broadcom will provide its XPU platform for chip co-development and advanced Ethernet technologies for networking across Meta's expanding AI compute clusters. The technology will underpin Meta's deployment of generative AI features across WhatsApp, Instagram and Threads. Meta aims to deliver what it calls "personal superintelligence" to billions of users globally. Broadcom CEO Hock Tan will transition from Meta's board to an advisory role focusing on Meta's custom silicon roadmap.