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Open nowFirst seen 2 hours ago

Partner Engineer

Meta1,349 open roles

Where
Singapore
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Your applicationOpen nowPartner EngineerMeta · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Meta's own form.

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 36 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: first seen 2 hours ago

Meta median: 36 days open

The posting

Meta's Partner Engineering team sits at the intersection of technology and business, applying software engineering expertise to help partners build, integrate, and scale on Meta's platforms. In this role, you will work directly with external technical partners across industries such as gaming, commerce, messaging, AI, and the metaverse to design and deliver production-grade integrations that unlock growth and create meaningful experiences for billions of users. You will collaborate closely with Meta's product engineering teams to translate partner needs into scalable technical solutions, serving as both a trusted technical advisor and a hands-on engineer.

Responsibilities

  • Design and build production-grade integrations and platform solutions in collaboration with external technical partners and internal product engineering teams
  • Serve as a technical subject matter expert for partners, advising on Meta's APIs, SDKs, and platform capabilities to support successful product adoption and integration
  • Analyze partner business requirements and translate them into scalable technical architectures and implementation plans
  • Identify, diagnose, and resolve complex technical issues across partner integrations, escalating systemic problems to product engineering teams with clear documentation
  • Build and maintain scaled tooling and capabilities that accelerate partner onboarding, integration quality, and platform adoption
  • Engage cross-functional stakeholders including product, design, and operations teams to align on partner needs and influence roadmap priorities
  • Conduct code reviews and contribute constructive feedback to maintain integration quality, reliability, and long-term maintainability
  • Communicate technical concepts and data-driven insights to both technical and non-technical audiences, including partner leadership and internal stakeholders
  • Build and sustain productive working relationships with technical counterparts at partner organizations, fostering trust and long-term collaboration
  • Share knowledge and provide guidance to peers on partner engineering best practices, integration patterns, and platform capabilities

Minimum Qualifications

  • 2+ years of experience as a software engineer building and shipping production-quality code
  • Experience with one or more open source languages or frameworks such as Python, PHP, Java, JavaScript, Swift, or Android
  • Experience designing and implementing end-to-end integrations or systems with a focus on reliability, scalability, and maintainability
  • Experience communicating technical concepts and solutions to non-technical stakeholders in written and verbal formats
  • Experience working directly with external partners or clients in a technical capacity to scope and deliver solutions

Preferred Qualifications

  • Experience influencing product roadmaps by synthesizing partner feedback and technical insights into actionable proposals
  • Experience working across multiple technology stacks or platforms, including REST APIs, webhooks, or mobile SDKs
  • Experience breaking down partner or customer business needs into discrete technical features and integration requirements
  • 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
  • Familiarity with platform ecosystems in domains such as gaming, commerce, messaging, or AI-powered products
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