Strategic analytical role focused on transforming advertising performance through data-driven methods, machine intelligence, and global measurement programs.
Responsibilities
Collaborate with cross-functional teams such as Sales, Product, R&D, Business Engineering, Ads Research, Creative Shop to develop and deliver global Measurement programs
Run internal and external education sessions on measurement best practices
Assess the impact of programmes and initiatives to drive value for Marketing Science, Meta and advertisers
Consult with advertisers on their common business challenges, current tech stack, 1P data availability and measurement solutions for different needs (marketing mix effectiveness and media allocation choices, or key measurement questions)
Work closely alongside Product and Partnerships stakeholders to adapt core functionalities, guide strategic roadmap prioritization, and test new scalable innovations
Requirements
Bachelor's degree in a directly related field, or equivalent practical experience
Master's degree in an analytical field such as Computer Science, Engineering, Mathematics, Statistics, or Economics
An experienced Administrative Partner and Office Manager to support multiple data center leaders with heavy calendaring, meeting management, and complex travel planning.
Responsibilities
Coordinate internal and external meetings for up to two leaders
Manage hectic and complex calendars
Coordinate both domestic and international travel arrangements
Main POC for all data center office/administrative topics
Senior AI/ML Engineer supporting United States Cyber Command (USCC) to build the AI Enterprise capability, moving solutions from prototype to secure, enterprise-scale service.
Compensation
Salary Range: $176,900.00 - $332,400.00
Responsibilities
Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools.
Design and integrate LLM/agent orchestration workflows using agentic frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit.
Tune model gateway routing logic to select, evaluate, and optimize across multiple frontier and open-weight models for cost, performance, and mission fit.
Develop and integrate RAG pipelines, vector databases, and memory services to give agents access to mission knowledge and context.
Implement MCP (Model Context Protocol)-based tool-broker integrations so agents can safely and securely access enterprise tools and data.
Looking for a senior backend engineer to build the services behind the product for the Standalone Apps Team, designing and owning backend systems that are reliable, fast, and cost-efficient.
Responsibilities
Design, build, and own backend services and APIs that power the core product.
Model data and design systems that stay reliable, fast, and cost-efficient as usage grows.
Set technical direction for major backend areas; raise the bar on quality, observability, and operational health.
Partner with client, ML, and product to deliver features end to end.
Mentor other engineers and improve how the team builds.
Requirements
Bachelor's degree in Computer Science
Computer Engineering
relevant technical field
Nice to have: high-throughput, low-latency systems
Senior Software Engineer to build and evolve internal platforms, reusable frameworks, AI tooling, and governance guardrails for Schwab engineering teams.
Compensation
In addition to the salary range, this role is eligible for bonus or incentive opportunities.
Responsibilities
Help build and evolve internal platforms, reusable frameworks, AI tooling, golden paths, agentic infrastructure, and governance guardrails
Contribute directly to platforms including technical debt management, enterprise governance, agent registries, agent pipelines, architecture assessment, and internal AI enablement solutions
Design systems that are scalable, secure, observable, and production-ready
Partner with architects, engineers, and stakeholders to solve complex problems
Requirements
Bachelor’s or Master’s degree in Computer Science or equivalent professional experience
Nice to have: Advanced degrees in Computer Science or Artificial Intelligence
Nice to have: experience working in private-sector, startup, or highly ambiguous environments
Network Engineer supporting Meta’s global data center field operations, focusing on hyperscale DC structured cabling, fiber connectivity, and IP networking.
Locations (2)
Los Lunas, New Mexico, United States
El Paso, Texas, United States
Responsibilities
Drive incident response for complex technical and process issues on a global scale
Identify and implement effective change within security and business continuity issues
Oversee a large contingent workforce for roadmapped projects and recurring operational activities
Set team goals and work globally with cross-functional teams
Design and implement aligned processes for data and asset protection risks
Requirements
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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