AI Meta
4.0 Menlo Park, CA Job Details $263,000
$337,000 a year 19 hours ago Qualifications AI models Community management Software coding Academic institution experience Key Performance Indicators Machine intelligence Model deployment OKRs Relationship management Machine learning (ML) fundamentals Community relationship building Senior leadership Full Job Description Meta is seeking a senior technical leader to build and scale Developer Relations for our growing portfolio of AI solutions, including Muse API, Muse Code, Muse Spark models and future open-weight releases.

This person will define how the global developer community engages with, builds on, and extends Meta's open-source model ecosystem and available tools, driving adoption from individual developers to enterprises to academic research institutions.

You will own the end-to-end developer relationship strategy: growing a vibrant, self-sustaining community around Meta's models; enabling developers to ship great products on top of our technology; and cultivating deep partnerships with academic institutions that advance the state of the art. This role sits at the intersection of engineering, product, and external engagement — and requires someone who can move fluidly between writing code, setting strategy, and delivering compelling presentations to large technical audiences. Head of Developer Relations & Community•

AI Responsibilities:

Define the vision and strategy for developer relations across Meta's closed and open-source AI model portfolio (Muse Spark and future releases), ensuring a coherent developer experience as the portfolio grows Build and grow a global developer community around Meta's models and solutions from grassroots meetups and hackathons to large-scale programs that drive sustained engagement and contribution Establish and deepen academic partnerships with leading research institutions worldwide, creating pathways for research collaboration, model adoption in curricula, and joint publications Be a key external face of Meta's models in front of developers, keynoting at top-tier conferences, engaging directly with influential developers and researchers, and representing Meta in the broader open-source AI ecosystem Drive developer adoption through technical enablement, reference architectures, sample applications, documentation, tutorials, and tooling that reduce time-to-value for developers building on our models Own the developer feedback loop, capture signals from the community, distill insights, and route them back to Product and Engineering to shape model releases, APIs, and developer tooling Define and execute metrics-driven programs to grow active developers, contributors, and community engagement report regularly on ecosystem health and adoption trajectory Collaborate cross-functionally with Product, Engineering, Research, Marketing, Partnerships, and Legal to align developer community efforts with Meta's broader open-source strategy Monitor the competitive and open-source AI landscape, track how developers adopt and build on alternative models (open and closed), and steer Meta's ecosystem strategy to strengthen Meta's ecosystem position Champion open-source culture internally and externally, advocate for developer-first decisions in model release processes, licensing, and tooling

Minimum Qualifications:

Deep technical credibility in AI/ML, large language models, or adjacent areas (model fine-tuning, inference optimization, deployment, evaluation) Experience building relationships with academic and research institutions at a strategic level Proven track record of operating at the executive level with metrics-driven accountability (OKRs, ecosystem KPIs, adoption funnels)

Preferred Qualifications:

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 Publications, patents, or active open-source contributions in AI/ML Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Direct experience with open-source model ecosystems (Hugging Face, PyTorch, ONNX, LLAMA, or similar) Prior experience at a major technology company leading community or ecosystem efforts 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 . $263,000/year to $337,000/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. 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