СШАDeveloper Relations - Enterprise AI
3 нед. назад
188k–250k USD / годСШАHybrid
aicloud infrastructuretechnical education
Technical role to support enterprise AI practitioners in deploying AI workloads on 's cloud infrastructure with in-office presence in San Francisco.
О компании
- Founded in 2012, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available:
- We offer generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
Обязанности
- More enterprise AI practitioners know and trust . is considered more often for production AI workloads.
- Your technical work is accurate and useful to teams making deployment decisions. Your following and collaborations give that work wider reach in the communities that matter to .
- Feedback from practitioners shapes Developer Relations priorities and gives ’s product teams a clearer view of enterprise deployment needs.
Будет плюсом
- Experience with on-premises AI infrastructure or internal AI programs used by dozens of people.
- Familiarity with Cloud or 1-Click Clusters.
- Experience producing technical video, live demonstrations, workshops, or programs with external partners.
Условия
- The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
Другое
- , The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. 's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
- If you'd like to build the world's best AI cloud, join us.
- *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; ’s designated work from home day is currently Tuesday.
- We’re hiring a technical practitioner to join Developer Relations and help enterprise teams understand how to deploy production AI workloads on .
- You will turn deployment experience and work from ’s technical teams into useful public resources. Your existing following and professional relationships will help that work reach enterprise AI practitioners who do not hear from today.
- Grow ’s reach among enterprise AI and infrastructure practitioners.
- Use your following and professional relationships to introduce to communities where it has limited presence.
- Develop projects with practitioners, customers, or partners. Plan distribution through the channels their audiences already use.
- Create technically sound material about deploying production AI workloads on .
- Work with MLE and engineering to turn field patterns into guides, demonstrations, or open-source examples.
- Teach the same ideas through talks and workshops. Use video when it suits the subject, and adapt strong work for more than one audience.
- Represent at conferences and on podcasts. Take part in relevant online communities.
- Track the problems enterprise teams raise and share useful patterns with ’s technical teams and go-to-market leaders.
- Use that evidence to help set Developer Relations priorities.
- Experience deploying and operating production AI workloads, ideally inside an enterprise.
- Working knowledge of MLOps and observability, including the reliability and performance work required to keep AI systems running.
- An understanding of how internal AI infrastructure supports applications and adoption across an organization.
- A record of writing or speaking clearly about AI deployment or infrastructure.
- An established following or professional network among enterprise AI and infrastructure practitioners.
- Experience using collaborations and community relationships to increase the reach of technical work.
- The ability to work effectively with technical teams as well as marketing and customer-facing groups.