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Business Engineer Meta Jobs in California (NOW HIRING)

You will write scalable production-grade code across Meta's platforms in collaboration with other ... Business Engineer Responsibilities: * Serve as a trusted technical advisor to Meta's clients ...

Business Engineering is looking for impact-driven, entrepreneurial engineers ready to drive ... You will deliver scalable production-grade code across Meta's platforms in collaboration with other ...

Business Engineering is looking for impact-focused, entrepreneurial engineers ready to bring their ideas and make a difference. We are technology expert.

Meta is seeking an experienced Business Development Manager to join our Monetization Business ... Collaborate with product, engineering, legal, finance, and policy teams to structure deals that are ...

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Business Engineer Meta information

What is the difference between Business Engineer Meta vs Data Analyst?

AspectBusiness Engineer MetaData Analyst
Required CredentialsBachelor's in Business, Engineering, or related fields; often certifications in project management or business analysisBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools (e.g., Excel, SQL, Tableau)
Work EnvironmentCollaborative teams within tech companies, focusing on business processes and product developmentData-focused teams analyzing datasets to inform business decisions, often in tech or finance sectors
Employer & Industry UsageCommon in tech giants like Meta, focusing on business operations and product strategiesWidely used across industries for data-driven decision making, including tech, finance, and marketing

The main difference is that Business Engineers Meta focus on integrating business strategies with technical solutions, while Data Analysts primarily analyze data to support decision-making. Both roles require analytical skills, but Business Engineers often have a broader scope involving project management and business processes.

What is a business engineer at Meta?

A Business Engineer at Meta is a hybrid role that combines technical expertise with business acumen to solve complex business problems using technology. They collaborate with cross-functional teams, including product, engineering, and sales, to design and implement scalable solutions that drive business growth. Business Engineers often work on projects involving data analysis, process automation, and system integration, helping bridge the gap between technical and non-technical stakeholders. Their responsibilities may vary depending on the team but generally focus on leveraging technology to meet business objectives.

What are the key skills and qualifications needed to thrive as a business engineer at Meta, and why are they important?

To thrive as a Business Engineer at Meta, you need a strong background in computer science or engineering, expertise in coding (such as Python, Java, or SQL), and experience with data analysis and business processes. Familiarity with Meta's platforms, APIs, and tools like Graph API, as well as relevant certifications in cloud services or data analytics, is highly valuable. Strong problem-solving, communication, and project management skills set top candidates apart by enabling effective collaboration across technical and business teams. These skills are crucial for designing scalable solutions that bridge technology and business objectives, driving impactful results within Meta’s fast-paced environment.

How do business engineers at Meta typically collaborate with cross-functional teams to implement technical solutions?

Business Engineers at Meta work closely with product managers, software engineers, data analysts, and sales teams to deliver technical solutions that support business objectives. They often serve as a bridge between technical and non-technical stakeholders, translating business requirements into scalable technical implementations. Regular collaboration involves attending project meetings, providing technical expertise, and ensuring that solutions align with both business needs and Meta's platform capabilities. This cross-functional teamwork is essential for driving innovation and delivering impactful results.

What are popular job titles related to Business Engineer Meta jobs in California?

For Business Engineer Meta jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Business Engineer Meta jobs?

Cities in California with the most Business Engineer Meta job openings:

Infographic showing various Business Engineer Meta job openings in California as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Business Support Engineer - Meta Business Agent

Meta

Menlo Park, CA

$114K/yr

Full-time

Re-posted 16 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 recently launched its Business Agent, helping businesses of every size use AI to boost productivity and deliver more personalized customer experiences. Business Support Engineering will be at the forefront of this shift, and we’re looking for an engineer to play a pivotal role supporting Meta’s partners bringing demonstrated experience in distributed systems and API troubleshooting and a focus on improving the end-to-end support experience.As a Business Support Engineer, you will work closely with cross-functional teams and business partners across the globe, incorporating AI-driven business solutions into their service offerings. You will track industry advancements and partner experiences, evaluating their impact and influencing the product's strategic roadmap.
Business Support Engineer - Meta Business Agent Responsibilities:
  • Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfaction
  • Troubleshoot large-scale distributed systems and partner integrations, maintaining high code quality and operational standards
  • Leverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindset
  • Build, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to production
  • Develop performance monitoring systems for partner integrations to ensure high availability
  • leverage metrics to proactively identify issues and drive improvements across teams
  • Provide 24/7 oncall support coverage via rotation schedule (including weekends)
  • Collaborate with Platform and Infrastructure teams to investigate issues, align on fixes, and drive continuous product improvement
  • Create clear documentation, specs, guides, and presentations to communicate complex AI concepts to diverse audiences, scaling the team's knowledge internally and externally
  • Drive end-to-end execution, using sound judgment to manage stakeholder expectations and ensuring clear alignment. Build recognized AI/ML expertise, actively coach and mentor peers on technical troubleshooting and project execution

Minimum Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • 3+ years of experience in Software Engineering or Site Reliability Engineering
  • Proven experience in API development on cloud-based infrastructures, being able to debug, identify root causes and resolve independently outages impacting Meta Partners
  • Experience with the full web stack, REST APIs, Python, PHP/Hack, and JavaScript/React development, along with debugging and bug management
  • Knowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as LLaMA, GPT, Claude, Falcon, etc
  • Experience in communicating with technical and business audiences and writing technical documentation
  • Experience in assessing, analyzing, and resolving operational issues using data analysis (SQL)

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers
  • 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 in partner-facing or customer-centric engineering roles
  • Experience building and deploying solutions on cloud platforms (e.g., AWS, GCP, Azure)
  • Hands-on experience working with large language models and AI agents
  • Success in cross-cultural engineering environments with international stakeholders
  • Experience with data transformation, model selection/training/optimization, and deployment at scale

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.
$114,000/year to $167,000/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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