Head of Developer Relations & Community – AI
Overview
Meta seeks a senior technical leader to architect and scale Developer Relations for its AI portfolio including Muse API, Muse Code, Muse Spark models and future open-weight releases. The role defines developer community engagement strategies drives adoption across individual developers enterprises and academic research institutions. This position merges engineering product leadership with external outreach requiring fluency in coding strategy and presentation skills.
What You'll Do16
- 1Define the vision and strategy for developer relations across Meta`s closed and open-source AI model portfolio ensuring a coherent developer experience as the portfolio grows
- 2Build and grow a global developer community around Meta`s models from grassroots meetups and hackathons to large-scale programs that drive sustained engagement and contribution
- 3Establish and deepen academic partnerships with leading research institutions worldwide creating pathways for research collaboration model adoption in curricula and joint publications
- 4Be a key external face of Meta`s models in front of developers keynote at top-tier conferences engage directly with influential developers and researchers and represent Meta in the broader open-source AI ecosystem
- 5Drive developer adoption through technical enablement reference architectures sample applications documentation tutorials and tooling that reduce time-to-value for developers building on our models
- 6Own 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
- 7Define and execute metrics-driven programs to grow active developers contributors and community engagement reporting regularly on ecosystem health and adoption trajectory
- 8Collaborate cross-functionally with Product Engineering Research Marketing Partnerships and Legal to align developer community efforts with Meta`s broader open-source strategy
- 9Monitor the competitive and open-source AI landscape track how developers adopt and build on alternative models and steer Meta`s ecosystem strategy to strengthen Meta`s position
- 10Champion open-source culture internally and externally advocating for developer-first decisions in model release processes licensing and tooling
- 11Minimum Qualifications Deep technical credibility in AI/ML large language models or adjacent areas such as model fine-tuning inference optimization deployment evaluation
- 12Proven track record of operating at the executive level with metrics-driven accountability using OKRs ecosystem KPIs and adoption funnels
- 13Preferred Qualifications Experience adhering to and implementing responsible ethical AI practices including risk assessment bias mitigation quality and accuracy reviews
- 14Demonstrated ongoing AI skill development such as prompt/context engineering agent orchestration and integrating AI tools to optimize redesign workflows and drive measurable impact
- 15Direct experience with open-source model ecosystems Hugging Face PyTorch ONNX LLAMA or similar
- 16Prior experience at a major technology company leading community or ecosystem efforts at scale
Requirements5
- 1Deep technical credibility in AI/ML large language models or adjacent areas such as model fine-tuning inference optimization deployment evaluation
- 2Experience building relationships with academic and research institutions at a strategic level
- 3Proven track record of operating at the executive level with metrics-driven accountability using OKRs ecosystem KPIs and adoption funnels
- 4Direct experience with open-source model ecosystems Hugging Face PyTorch ONNX LLAMA or similar
- 5Prior experience at a major technology company leading community or ecosystem efforts at scale
Salary Insight
$263 - $337k per year
Location
Required Skills
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