Business Support Engineer

Meta
Menlo Park, CA$142k–$201kPosted Jul 6, 2026
Skip to main content Business Support Engineer Meta Menlo Park, CA Apply Join or sign in to find your next job Join to apply for the Business Support Engineer role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Business Support Engineer Meta Menlo Park, CA 2 weeks ago Be among the first 25 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Business Support Engineer role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $142,000.00/yr - $201,000.00/yr 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 Responsibilities:Provide proactive and reactive engineering support for partners, independently managing complex outages to ensure high partner satisfactionTroubleshoot large-scale distributed systems and partner integrations, championing operational excellence and engineering craftsmanshipLeverage AI tools to accelerate troubleshooting, automate repetitive tasks, and scale your impact with an 'AI native' mindsetBuild, launch, and optimize AI solutions using Llama and other LLMs, owning the full lifecycle from prototype to productionDevelop performance monitoring systems for partner integrations to ensure high availabilityleverage metrics to proactively identify issues and drive improvements across teamsProvide 24/7 oncall support coverage via rotation schedule (including weekends)Collaborate with Platform and...

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