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Partner Engineer, Generative AI Integration and Distribution

Meta

Burlingame, CAJob$149–210K/yrPosted 2mo agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$149–210K/yr
Location
Burlingame, CA
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Meta is hiring a Partner Engineer, Generative AI Integration and Distribution. Meta is seeking a Partner Engineer for its GenAI Integration and Distribution team. This role focuses on enabling strategic partners to leverage Meta's generative AI products and platforms. The engineer will be a subject matter expert in generative AI and Meta's tool stack, driving technical engagements, designing solutions, and ensuring seamless integration with partner systems. Responsibilities include building strong relationships, identifying growth opportunities, and contributing to the Meta AI developer ecosystem.

Key focus areas include Drive technical engagements with strategic GenAI partners to understand requirements and deliver solutions, Design, build, and integrate end-to-end generative AI systems and launch-plan strategies, and Use technical and soft skills to build productive relationships with partners.

Successful candidates bring Bachelor's Degree in Computer Science or Engineering and 5+ Years Software Engineering or AI Experience. Important skills include Generative AI, Meta Tool Stack, Technical Engagement, Solution Design, Integration, and Production-Level Code. Preferred (not required): Communication To Technical Stakeholders, Data Analysis, Responsible AI Practices, and Ethical AI Practices.

Skills & qualifications

RequiredNice to have

Skills

Generative AIMeta Tool StackTechnical EngagementSolution DesignIntegrationProduction-Level CodeTechnical DocumentationCommunication to Non-Technical AudiencesCross-Functional AlignmentPartner Relationship BuildingProduct Roadmap InfluenceComplex Problem ResolutionLaunch-Plan StrategiesCode ReviewsTechnical Content CreationTools CreationMeta AI Developer Ecosystem ContributionData-Centric AnalysesCoachingKnowledge SharingInterviewingOnboardingPythonJavaGoRustCC++LLaMAGPTClaudeCloud-Based TechnologiesAPIProject ManagementCommunication to Technical StakeholdersData AnalysisResponsible AI PracticesEthical AI PracticesRisk AssessmentBias MitigationQuality and Accuracy ReviewsMachine LearningSoftware DevelopmentData ProcessingProgramming LanguagesDatabasesNetworkingOperating SystemsAI Skill DevelopmentPrompt Engineering

Qualifications

Bachelor's Degree in Computer Science, Computer Engineering, Relevant Technical Field, or Equivalent Practical Experience5+ Years of Experience in Software Engineering, Artificial Intelligence, Machine Learning, or Related FieldExperience With Generative AI Tool StacksExperience Working With External Partners, Customers, or Stakeholders

Benefits

Medical Insurance

Full job description

Summary:

We are seeking a Partner Engineer to join Meta’s GenAI Integration and Distribution team, focused on enabling strategic partners to succeed with our generative AI products and platforms. As a GenAI Partner Engineer, you will be a subject matter expert on generative AI and our tool stack, and work closely with external partners to understand their technical requirements, design and ship solutions, and ensure seamless integration with our products. You will be responsible for driving technical engagements, inventing new generative AI assets, building strong relationships with partners, and identifying opportunities to grow partnerships.

Required Skills:

Partner Engineer, Generative AI Integration and Distribution Responsibilities:

  1. The Partner Engineer role on Meta’s GenAI Integration and Distribution team is a key technical position focused on enabling strategic external partners to successfully leverage Meta's generative AI products and platforms. The person in this role is a subject matter expert in generative AI and Meta's tool stack, responsible for driving technical engagements, understanding partner requirements, and designing and integrating end-to-end AI solutions. This role requires a blend of technical depth, including shipping production-level code and creating technical documentation, and effective interpersonal skills, such as communicating technical concepts to non-technical audiences and aligning cross-functional stakeholders to build productive partner relationships, influence the product roadmap, and resolve complex technical and business challenges. The Partner Engineer will be a core contributor to the Meta AI developer ecosystem, mentoring peers and serving as a domain expert

  2. Drive technical engagements with strategic GenAI partners to understand requirements and deliver solutions to complex problems

  3. Design, build, and integrate end-to-end generative AI systems and launch-plan strategies to meet the needs of our partners

  4. Use a broad range of technical and soft skills to build productive relationships with partners, and independently resolve complex technical and business needs

  5. Use expertise and product insight to deliver high-quality project, integration, and partner engagements

  6. Work closely with product teams, guide workflow changes, and gain consensus from stakeholders while influencing the product roadmap to meet the business needs

  7. Build and manage strong working relationships with partner technical counterparts and internal cross-functional teams

  8. Ship production level code, code reviews, and provide constructive feedback while quickly acting on feedback from code reviews conducted on your code

  9. Create technical content, tools, and documentation to empower developers and partners

  10. Contribute to the Meta AI developer ecosystem, including case studies, online courses, and best practices

  11. Influence decision-making through presentation and dissemination of data-centric analyses

  12. Serve as a generative AI subject matter expert within the team and provide consultation on domain-level projects

  13. Mentor and share knowledge with peers, fostering collaboration and knowledge-sharing within the team

  14. Participate in the interviewing and onboarding of new team members

Minimum Qualifications:

Minimum Qualifications:

  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

  2. Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience

  3. 5+ years of experience in one or more of the following areas: Software Engineering, Artificial Intelligence, Machine Learning, or a related field

  4. Development experience in languages like Python, Java, Go, Rust, C, and C++. (at least one)

  5. Experience with generative AI tool stacks including LLMs such as LLaMA, GPT, Claude, etc

  6. Experience working with external partners, customers, or stakeholders to understand their technical requirements and deliver solutions

  7. Experience with cloud-based technologies, APIs, and data integration

  8. Project management experience

Preferred Qualifications:

Preferred Qualifications:

  1. Experience communicating technical concepts to both technical and non-technical stakeholders, and experience analyzing data to inform decisions and solve complex problems

  2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

  3. Knowledge in one or more of the following areas: generative AI, Machine Learning, software development, data processing, programming languages, databases, networking, or operating systems

  4. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

  5. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Public Compensation:

$149,000/year to $210,000/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 [email protected].

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