Content Marketer, Lambda
$139-201k
+ Equity
More information about location
4 days a week in office
Deep learning infrastructure company
Be an early applicant
Deep learning infrastructure company
201-500 employees
Be an early applicant
$139-201k
+ Equity
More information about location
4 days a week in office
201-500 employees
Company mission
To accelerate human progress through computation.
Role
Who you are
- The candidate must have AI/ML experience (i.e. , current or former practitioner), as you will go deep into our industry, working alongside practitioners, partners, and other industry thought leaders to translate complex topics into impactful content
- Have a Bachelor’s degree in computer science, engineering or equivalent
- Are passionate about AI/ML, with an eye on trends and developments in the field, capable of developing thought leadership content and hot takes
- Have a strong journalistic instinct and a gift for finding compelling stories in unlikely places
- Have strong written, verbal, and editing abilities with experience creating diverse content across multiple channels
- 3-7 years of experience as an AI/ML practitioner and/or developer relationships (DevRel) role
- 1-3 years of experience in technical writing or content marketing
- Hands-on experience developing content for AI/ML practitioners or a similar data-centric audience
- Strong writing, editing, and proofreading skills, with an ability to write clearly and concisely for both technical and non-technical audiences
- Excellent project management and organizational skills, with a proven ability to manage multiple projects and deadlines. You thrive in fast-paced environments, keeping content creation on track and ensuring consistency and quality across deliverables
- Familiarity with social media and forum platforms where the AI/ML community is most active, email marketing, and other content distribution channels
What the job involves
- As an AI/ML Content Manager at Lambda, you will create and curate impactful content that resonates and adds value for an audience primarily made of AI/ML engineers
- You’ll leverage your technical experience and story-telling abilities to produce narratives that build trust, and Thought Leadership without relying on buzzwords or business jargon
- You’ll not only cover the latest trends and research topics, you’ll also be responsible for expanding on the “why” and “how” behind them
- You’ll research, manage, write, and optimize a wide range of content, such as blog posts, whitepapers, datasheets, and social media, ensuring our message is clear and compelling
- Using your passion for data, you’ll keep an eye on content performance and audience engagement and refine your approach using data-driven insights
- Content Strategy: Develop and execute a comprehensive content strategy aligned with our brand voice and a primarily technical audience
- Content Creation & editorial vision: Develop a comprehensive content strategy that produces various types of content, including blog posts, sales materials, whitepapers, ebooks, case studies, infographics, videos, and social media posts - with the support of our engineering, product, and design teams.
- SEO Optimization: Optimize content for search engines to improve organic search rankings and drive qualified traffic to our website
- Content Calendar: Manage a cross-functional content / editorial calendar to ensure a consistent and timely flow of content across all channels
- Audience Research: Work closely with our research team, product team, tech writers, and Design team to understand our target audience's needs, preferences and pain points, and tailor content accordingly. Understand our target audiences needs to through first-hand interactions across popular AI/ML communities and social media conversations
- Content Curation: Ensure key existing content is regularly reviewed, stays relevant, and is properly versioned
- Analytics & Reporting: Analyze content performance and refine strategies based on data-driven insights, and regularly report on its impact in the market
- Continuous Improvement: Stay up-to-date with the latest content marketing trends, tools, and best practices, and continuously refine our content strategy based on data-driven insights
Our take
Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.
Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.
With investments from 1517, Gradient Ventures, Bloomberg Beta, and Razer, Lambda intends on using the capital to expand its cloud and software, engineering teams. As well as looking to ramp up more investments into its GPU cloud, the company is constantly working to improve its hardware products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Feb 2024
$320m
SERIES C
Mar 2023
$44m
SERIES B
Total funding: $383m
Company benefits
- 100% remote team
- Healthcare, dental, vision, work-from-home Internet, and phone stipend.
- Vacation Plan: We offer flexible PTO to all team members as well as five sick days and twelve paid holidays each year.
- Paid Leave: Team members will receive financial security during some of life's more stressful moments, should they experience those. Offering paid parental leave, paid personal medical leave, and paid caregiver leave.
Company values
- Customers first: We seek to understand every aspect of what makes our customers tick. We focus on delivering amazing products to solve those problems and give our customers superpowers.
- Intellectual curiosity: We are always learning, diving deep, and going directly to the source.
- Humility: Everything goes smoother when work interactions are "low ego". Humility is important because admitting you don't know something is the first step to learning and improving.
- Speed: As a startup, speed of execution and the tightness of our feedback loops are two of the advantages we have over massive global companies.
Company HQ
Dogpatch, San Francisco, CA
Articles
Leadership
Michael Balaban
(Co-Founder)Graduating with a BS in Discrete Mathematics and Computer Science, Michael is experienced in software engineering and previously worked for Nextdoor as part of its infrastructure team.
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