VibeCodeCareers 
This is an on-site, senior-level role based in Austin, Texas at Meta. The company focuses on integrating AI into operational processes to enhance efficiency and effectiveness. The role involves leading programs to automate and optimize workflows within Meta's Scaled Operations.
Skills / Requirements
- Agent Orchestration
- AI-driven Automation
- AI/ML Advancements
- API Integration
- Automation Frameworks
- Change Management
- Cross-functional Engagement
- Process Optimization
- Program Management
- Solutions Architect
- Technical Documentation
- Vibe Coding
Why Apply
This role is ideal for those experienced with AI/ML projects, as it involves developing AI-driven solutions to optimize Meta's operational processes. Familiarity with Meta's internal tools like Vibe Coding and automation frameworks will be advantageous.
What You'll Be Doing
You'll analyze and redesign workflows to identify automation opportunities, collaborate with cross-functional teams to implement AI solutions, and manage complex projects. You'll also engage in change management and communicate technical concepts to diverse audiences.
Working in Austin, Texas
- Austin's tech scene is vibrant, with numerous opportunities for networking and career growth.
- The city offers a relatively low cost of living compared to other tech hubs like San Francisco.
- Austin is known for its live music, cultural events, and outdoor activities, providing a balanced lifestyle.
- Public transportation and bike-friendly initiatives make commuting in Austin manageable.
Pay and Career Growth
The role offers a competitive salary range of $152,000 to $214,000, plus bonuses and equity. Meta emphasizes AI skill development and offers a collaborative environment for career growth. Experience with Meta's tools can enhance your career trajectory.
Benefits and Perks
- benefits
- Bonus
- competitive salary
- Equity
Is This Role Right for You?
Good fit if you...
- Experienced in systems architecture and solution design with over 10 years in the field.
- Proven track record in AI/ML project delivery and process optimization.
- Comfortable with change management and cross-functional collaboration.
May not be for you if...
- Lacks experience in AI/ML or automation projects.
- Unfamiliar with Meta's internal tools and platforms.
- Struggles with managing complex projects and stakeholder engagement.
Original Job Description
Summary:
The Scaled Operations organization in Meta is responsible for delivering global scaled human operations to power Meta company priorities. As part of Meta’s strategic focus on integrating AI into our operational processes, this role will lead programs that transform how we operate within the Scaled Operations. This role will be dedicated to the highest priority opportunities, identified by Scaled Operations leadership, to automate work and unlock new levels of efficiency and effectiveness. This role requires a hands-on leader who can drive optimization and tool implementation to achieve increased efficiency and effectiveness in Scaled Operations work flows.This role will partner directly with Scaled Operations leadership to identify and prioritize high-impact opportunities for automation. They will assess and optimize Scaled Operations processes and rapidly develop and implement AI-driven, technical solutions and tools to optimize process efficiency. This person will collaborate closely with teams across Scaled Operations, Global Operations, and product, engineering, and data teams to leverage and share best practices, and scale solutions. This person will support the SO Center of Excellence for AI adoption, process optimization, and change management.
Required Skills:
Solutions Architect, Scaled Operations AI Accelerator Team Responsibilities:
Analyze, map, and redesign internal operational workflows to identify pain points and opportunities for AI-driven automation
Collaborate with process owners and cross-functional teams to optimize processes and ensure successful automation outcomes
Architect end-to-end automation solutions, ensuring technical scalability, robustness, and compliance with Meta standards
Manage complex projects, including requirements gathering, timeline management, and deliverable oversight
Champion effective change management, developing and executing strategies to support employees and teams through transitions resulting from automation
Drive cross-functional engagement with product managers, engineers, business stakeholders, and external partners to deliver impactful solutions
Communicate technical concepts and project status clearly to both technical and non-technical audiences
Stay current with AI/ML advancements and experiment with new tools and approaches to foster innovation and continuous improvement
Develop playbooks, reusable templates, and best practices to scale successful automations across Scaled Operations
Manage contract worker or vendor relationships to support technical design development and implementation
Track, analyze, and report on key metrics and business impact of automation initiatives
Minimum Qualifications:
Minimum Qualifications:
Bachelor’s degree in a directly related field, or equivalent practical experience
10+ years of experience in systems architecture and solution design
8+ years of experience in process analysis or business operations
Proven experience with AI/ML or automation projects, including end-to-end solution delivery
Expertise in API integration and automation frameworks
Experience delivering technical documentation and communicating technical requirements to broad audiences
Demonstrated skills in program management, including managing complex projects and cross-functional deliverables
Experience supporting change management and stakeholder engagement
Preferred Qualifications:
Preferred Qualifications:
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with Meta’s internal tools and platforms (e.g., Vibe Coding, internal automation frameworks)
Familiarity with Scaled Operations processes and FTE workflows
Advanced degree in Computer Science, Engineering, Operations, or related field experience
Experience developing playbooks, reusable templates, and best practices for automation at scale
Public Compensation:
$152,000/year to $214,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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.
