
Business Engineer
Required skills
- production-quality
- scalable
- maintainable code
- test plans
- technical concepts
- data-driven insights
- client-facing
- partner-facing
- technical roles
- business integration challenges
Nice to have
- AI
- prompt engineering
- context engineering
- agent orchestration
- responsible AI practices
- bias mitigation
Role summary
Meta's Business Engineering team seeks a Business Engineer to apply software engineering expertise to drive partner success across Meta's platforms. This role involves building scalable, production-grade solutions for areas like Video, Commerce, Monetization, AI, Messaging, Gaming, and the metaverse. You will collaborate with product engineering and cross-functional teams to translate business challenges into technical solutions, architect end-to-end systems, and influence product roadmaps. Responsibilities include designing, building, and maintaining systems, conducting code reviews, and serving as a subject matter expert. The role requires 6+ years of software engineering experience, system design capabilities, and experience with open-source languages like Python, PHP, Java, JavaScript, Swift, or Android. Preferred qualifications include AI skill development and technical consulting experience.
Responsibilities
- Design, build, and maintain scalable production-grade systems that drive partner product adoption and business growth across Meta's platforms
- Collaborate with Meta product engineering teams and cross-functional partners to identify and deliver technical solutions aligned to business needs
- Architect and integrate end-to-end systems with clear launch-plan strategies that address partner challenges at scale
- Apply knowledge of Meta's products and technologies to scope and prioritize short, mid, and long-term engineering goals that keep the team focused on measurable outcomes
- Build and maintain productive relationships with technical counterparts at partner organizations, independently resolving complex technical and business integration challenges
- Leverage product insight and domain expertise to influence product roadmap decisions that better serve partner and business needs
- Communicate technical concepts and data-driven recommendations to non-technical stakeholders to guide workflow changes and build consensus
- Conduct and participate in code reviews, providing constructive feedback and acting on feedback received to maintain high code quality and long-term maintainability
- Share knowledge with peers and contribute to a collaborative team environment, including supporting the interviewing and onboarding of new team members
- Serve as a subject matter expert within Business Engineering, providing consultation on domain-level projects and influencing decision-making through data-centric analysis
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 6+ years of experience as a software engineer building and shipping production-quality, scalable, and maintainable code
- Experience designing and architecting end-to-end systems with relevant documentation and test plans
- Experience with open source languages or frameworks such as Python, PHP, Java, JavaScript, Swift, or Android
- Experience communicating technical concepts and data-driven insights to non-technical audiences including business stakeholders or partners
- Experience working in client-facing or partner-facing technical roles, independently resolving complex technical and business integration challenges
Preferred Qualifications
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- 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)
- Experience acting as a technical consultant to partners or clients, advising on integration strategies and platform adoption
- Demonstrated use of AI tools to optimize engineering workflows or partner integrations, with experience applying responsible and ethical AI practices such as bias mitigation and quality review
- Experience breaking down business requirements into product and technical features, scoping the appropriate level of technical investment based on business impact
- Experience working on multi-person codebases, including open source or collaborative projects, with a focus on code quality and cross-team coordination
$149,000/year to $210,000/year + bonus + equity + benefits
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