Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will create technical resources about deploying production AI workloads. You will turn field patterns into guides, demonstrations, and open-source examples; teach through talks, workshops, and video; grow reach through community relationships and collaborations; represent the organization at conferences and podcasts; and share practitioner feedback to shape priorities.
Requirements
- Experience deploying and operating production AI workloads, ideally in an enterprise
- Knowledge of MLOps and observability for reliable, high-performance AI systems
- Understanding of internal AI infrastructure and organizational AI adoption
- Experience writing or speaking about AI deployment or infrastructure
- Established following or professional network among enterprise AI and infrastructure practitioners
- Experience using collaborations and community relationships to expand technical reach
- Ability to work with technical, marketing, and customer-facing groups
Responsibilities
- Grow reach among enterprise AI and infrastructure practitioners
- Use professional relationships to introduce technical work to relevant communities
- Develop projects with practitioners, customers, and partners and plan distribution
- Create technical material about production AI deployment
- Turn field patterns into guides, demonstrations, and open-source examples
- Teach through talks, workshops, and video
- Represent the organization at conferences, podcasts, and online communities
- Track enterprise practitioner problems and share patterns with technical and go-to-market leaders
- Use field evidence to help set Developer Relations priorities
Benefits
- Cash and equity compensation
- Health, dental, and vision coverage for employees and dependents
- Wellness and commuter stipends for select roles
- 401k plan with 2% company match for USA employees
- Flexible paid time off