Institute of Foundation Models
Developer Relations Manager
$200K–$250K
Sunnyvale, CA · On-site · Manager · Full-time · Posted Oct 22, 2026
- Education
- Bachelor’s degree in Computer Science, Engineering or a related technical field, or equivalent practical experience.
- Visa sponsorship
- Eligible for visa sponsorship.
About the job
Drives developer adoption of IFM’s LLMs by helping builders evaluate, integrate, and use them, while relaying evidence-based feedback to research and engineering teams.
What you'll do
- Support developers throughout discovery, evaluation, integration, and ongoing use; develop documentation, guidance, and tested examples.
- Demonstrate model capabilities and limitations, and collaborate with ecosystem partners to enable reliable integrations.
- Investigate adoption barriers, reproduce issues, and work with engineering and research teams to validate improvements and inform priorities.
What they ask for
- Experience in developer relations, applied AI engineering, developer experience, or a comparable technical role, with a track record of helping developers adopt technical products.
- Hands-on experience building, evaluating, and deploying LLM applications; judgment about model capabilities, limitations, and quality, latency, and cost trade-offs.
- Strong Python skills and a portfolio of technical documentation, tutorials, demonstrations, or open-source contributions.
- Experience collaborating with researchers and engineers and familiarity with the LLM developer ecosystem, including inference tools, application frameworks, and agent workflows.
Nice to have
- Contributing to model launches, early-access programs, or open-source integrations.
- Experience with open-weight models, fine-tuning or self-hosted deployment, or creating guidance for coding agents.
Pay
USD 200,000–250,000 per year (base salary); discretionary performance bonus (amount not stated)
Tools
Python
AI focus
Supports adoption and evaluation of LLMs, develops examples for tool calling, structured outputs, and multi-step workflows, and translates reproducible findings into model improvement recommendations.
Model-written summary · the original posting is authoritative