Developer Relations Manager

About IFM The Institute of Foundation Models (IFM) is a global AI researchlab dedicated to open and independent development of frontier-classfoundation models. Launched in May 2025 by MBZUAI, IFM operatesfrom advanced lab facilities in Abu Dhabi, Silicon Valley andParis. IFM’s model portfolio includes K2 series, the fullyopen-source fleet of LLMs; Jais, the most advanced Arabic LLM; andPAN, the next-gen World Model for embodied reasoning and real-worldsimulation. Role Summary The Developer Relations Manager drives developer adoption of IFM’slarge language models (LLMs). With the model itself as the product,the role helps model users, humans and agents alike, understand itscapabilities, evaluate its suitability and build with it. Based in Silicon Valley, you will work closely with users andbuilders across the full developer journey, from discovery andevaluation to integration and sustained use. You will work withresearchers and engineers to translate that experience into modelimprovements, earning trust on both sides and using technicalevidence to influence priorities without direct authority. This is a hands-on technical role requiring practical experiencebuilding with LLMs and a sound understanding of their capabilities,limitations and use in real applications. Travel requirement Up to 25% Key Responsibilities Build relationships with model users and builders, identifyvaluable use cases, and support adoption from discovery andevaluation through integration and sustained use. Develop and maintain model guidance, documentation and testedexamples for human developers and coding agents, including toolcalling, structured outputs and multi-step workflows. Represent IFM’s LLMs through technical demonstrations, talksand workshops, explaining their capabilities and limitationsclearly and working with Community to reach relevant builders. Work with ecosystem partners and open-source maintainers toenable reliable use of IFM’s models in relevant frameworks,inference tools and agent environments. Investigate adoption barriers and reproduce issues across modelbehavior, integration and deployment, translating findings intoevaluation cases and recommendations that influence researchpriorities. Work with Developer Experience (DevEx) and model engineers toprioritize technical improvements, resolve issues and validateresults with users. Engage early users before release, assess readiness fordeveloper use, and track successful integrations, task outcomes andsustained adoption after launch. Qualifications Academic qualifications Bachelor’s degree in Computer Science, Engineering or a relatedtechnical field, or equivalent practical experience. Minimum requirements Experience in developer relations, applied AI engineering,developer experience or a comparable technical role, with a trackrecord of helping developers adopt technical products. Hands-on experience building, evaluating and deployingapplications with LLMs, with sound judgment about modelcapabilities, limitations and trade-offs in quality, latency andcost. Strong Python skills, with the ability to independently buildworking examples, test integrations and diagnose problems. A portfolio of clear technical documentation, tutorials,demonstrations or open-source contributions, supported byexperience explaining complex concepts directly to developers. Experience working closely with researchers and engineers,using reproducible evidence and clear reasoning to influencepriorities without direct authority. Familiarity with the LLM developer ecosystem, includinginference tools, application frameworks and agent workflows, andexperience collaborating with technical users, partners ormaintainers. Preferred experience Contributing to model launches, early-access programs oropen-source integrations. Working with open-weight models, including fine-tuning orself-hosted deployment. Developing guidance and examples that coding agents can usereliably, alongside supporting human developers. Visa Sponsorship This position is eligible for visa sponsorship. Salary $200,000 - $250,000 a year Compensation $200,000 – $250,000/year + discretionary performance bonus +benefits The posted salary range represents the company’s good faithestimate of the base compensation for this position upon hire. Theactual base compensation offered may vary within this rangedepending on individual qualifications, including but not limitedto relevant skills, experience, education, certifications, andspecific business needs. In addition to base salary, totalcompensation includes an annual discretionary performance bonus andcomprehensive benefits. Benefits Include Comprehensive medical, dental, and vision benefits Bonus 401K Plan Generous paid time off, sick leave and holidays Paid Parental Leave Employee Assistance Program Life insurance and disability We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzingresumes, or assessing responses and identifying potentialinconsistencies or verification signals in application materialsbased on available information. These tools assist our recruitmentteam but do not replace human judgment. Final hiring decisions areultimately made by humans. If you would like more information abouthow your data is processed, please contact us. #J-18808-Ljbffr