Lambda
Developer Relations - Enterprise AI
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco Office (Second St)
Employer listed it 14h ago · Found 1h ago
First listed today.
Salary
$188,000 to $250,000
Location
Hybrid · San Francisco Office (Second St)
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco Office (Second St), San Jose Office (First St), Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco Office (Second St), San Jose Office (First St), Hybrid"
- Listing mentions "Hybrid" and 4 days per week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Lambda, 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. Lambda'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; Lambda’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 Lambda.
You will turn deployment experience and work from Lambda’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 Lambda today.
What You’ll Do
Audience and Distribution
Grow Lambda’s reach among enterprise AI and infrastructure practitioners.
Use your following and professional relationships to introduce Lambda to communities where it has limited presence.
Develop projects with practitioners, customers, or partners. Plan distribution through the channels their audiences already use.
Technical Education
Create technically sound material about deploying production AI workloads on Lambda.
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.
Field Feedback
Represent Lambda at conferences and on podcasts. Take part in relevant online communities.
Track the problems enterprise teams raise and share useful patterns with Lambda’s technical teams and go-to-market leaders.
Use that evidence to help set Developer Relations priorities.
You
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.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·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
- ·Equal Opportunity Employer
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Lambda, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 2h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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