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Manager Meta Ai Jobs in Oregon (NOW HIRING)

Meta

OR

$193K/yr

Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Experience developing and driving strategy for network fault management, repair automation, or ...

Meta

Electrical Subject Matter Expert

Prineville, OR

$114K/yr

Meta is seeking a data center Electrical Subject Matter Expert (SME) to join our Data Center ... Manage vendor relationships for electrical maintenance and retrofit work * Provide feedback on ...

Meta

OR

$193K/yr

Own and shape the cross team alignment to deliver Meta's next-generation AI and rest of world ... Incident and Escalation Management: Investigate complex technical and cross-team issues during ...

Musixmatch S.p.a

OR · On-site

Musixmatch is the trusted global partner of companies like Spotify, Apple, Amazon Music, Meta ... Position: We are looking for an AI-First Product Manager to join our Catalog team. In this role ...

Underdog

User Acquisition Manager

OR · On-site +1

$120K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Serve as Underdog's in-house expert on performance social, with deep expertise in Meta ... Experience implementing AI-driven workflows or automation to improve UA efficiency and creative ...

Cresta

Digital Marketing Manager

OR · On-site +1

$100K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Meta, and emerging channels. In this role, you'll drive campaign execution from strategy through ... Leverage AI tools and audience enrichment platforms such as Clay to improve targeting, automate ...

Instacart

Ads AI Analytics Lead II

OR · On-site +1

Ingest and enrich unstructured Ads content and publish retrievalready datasets using our managed ... Meta, Shopify, or DoorDash. #LI-Remote

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Manager Meta Ai information

What are the key skills and qualifications needed to thrive as a manager at Meta AI?

To thrive as a Manager at Meta AI, you need a strong background in computer science or a related field, experience managing technical teams, and a deep understanding of artificial intelligence and machine learning concepts. Familiarity with tools like Python, TensorFlow, PyTorch, and experience with large-scale data systems or cloud platforms is typically expected. Excellent leadership, collaboration, and communication skills are crucial for motivating teams and driving cross-functional projects. These skills ensure that teams can innovate effectively, execute complex AI initiatives, and align with Meta's strategic goals.

What does a manager at Meta AI do?

A Manager Meta AI oversees teams that develop and implement artificial intelligence solutions at Meta (formerly Facebook). They are responsible for guiding AI strategy, managing projects, and ensuring the successful deployment of AI technologies across Meta's products and services. This role involves collaborating with engineers, researchers, and stakeholders to achieve business goals while maintaining ethical standards in AI development. Additionally, the Manager Meta AI monitors industry trends and helps shape the company's AI roadmap.

What are some common challenges faced by a manager at Meta AI, and how can they be addressed?

A Manager in Meta AI often encounters challenges such as aligning cross-functional teams, balancing innovative research with business objectives, and managing rapidly evolving technologies. Effective communication and setting clear expectations help bridge gaps between researchers, engineers, and product teams. Additionally, staying current with AI advancements and fostering a collaborative, adaptable culture are key to successfully leading teams through complex projects and constant change.

What is the difference between Manager Meta Ai vs Data Scientist?

AspectManager Meta AiData Scientist
Primary RoleOversees AI projects, manages teams, and aligns AI strategies with business goalsAnalyzes data, develops models, and extracts insights to inform decision-making
Required SkillsLeadership, project management, AI knowledge, communication skillsStatistical analysis, programming, machine learning, data visualization
Typical EnvironmentTech companies, AI startups, large enterprises with AI initiativesResearch labs, tech firms, data-driven industries
CertificationsAI certifications, management courses, relevant degreesData science certifications, programming credentials, advanced degrees in related fields

While both roles involve AI, the Manager Meta Ai focuses on leading AI projects and teams, whereas the Data Scientist concentrates on analyzing data and building models. The manager oversees strategy and execution, while the data scientist provides technical expertise and insights.

What are the most commonly searched types of Meta Ai jobs in Oregon?

The most popular types of Meta Ai jobs in Oregon are:

What are popular job titles related to Manager Meta Ai jobs in Oregon?

For Manager Meta Ai jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Manager Meta Ai jobs in Oregon look for?

The top searched job categories for Manager Meta Ai jobs in Oregon are:

What cities in Oregon are hiring for Manager Meta Ai jobs?

Cities in Oregon with the most Manager Meta Ai job openings:

Manager Meta Ai jobs near you

Network Engineer, AI Infrastructure Repair

Meta

Prineville, OR

$193K/yr

Full-time

Re-posted 12 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About 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.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual 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.

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