Technical Product Marketing Manager, Lambda
AI/ML
$154-221k
+ Equity
PyTorch
JIRA
Trello
Asana
Mid, Senior and Expert level
San Francisco Bay Area
More information about location
4+ days a week in office
Deep learning infrastructure company
Posted today
Deep learning infrastructure company
201-500 employees
B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing
Posted today
$154-221k
+ Equity
PyTorch
JIRA
Trello
Asana
Mid, Senior and Expert level
San Francisco Bay Area
More information about location
4+ days a week in office
201-500 employees
B2CB2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine LearningCloud Computing
Company mission
To accelerate human progress through computation.
Role
Who you are
- Educational Background: Bachelor's degree in Computer Science, Engineering, Marketing, or a related field
- You’ve been there and done that: You understand how AI is transforming the world and know how GPUs accelerate ML workflows, you’ve got a handle on frameworks like PyTorch, and you can hold your own in conversations about large language models or advanced AI/ML techniques
- You’re Both Strategic and Hands-On: Crafting a high-level marketing plan is your jam, but you’re not afraid to roll up your sleeves to write compelling copy, dig into analytics, or put the finishing touches on a training deck
- You Turn Complexity into Clarity: You get that “technical” doesn’t have to mean “hard to understand.” You take complex AI concepts and translate them into crisp, engaging stories that resonate with diverse audiences
- You’re a Natural Collaborator: Cross-functional alignment is key. Whether you’re syncing with product managers, engineers, GTM pros, or designers, you’ll make sure everyone’s pointed in the same direction—and excited to get there
- You Deliver: You’ve run campaigns from ideation to post-mortem, juggling multiple priorities while staying cool under pressure. You’re used to measuring results and iterating to make the next campaign even better
- You Own Your Data: Dashboards, analytics platforms, and CRM systems are second nature to you. You thrive on metrics and you’re always looking for new ways to glean insights that drive performance
- Technical Acumen: deep familiarity with AI/ML and have spend time in the space
- Strategic Planning: Ability to develop and execute comprehensive marketing strategies that align with business goals
- Campaign Management: Expertise in managing all aspects of marketing campaigns, from conception to execution and analysis
- Content Creation: Skilled in both guiding and executing the creation of compelling marketing content, including copywriting, visual content, and multimedia
- Sales Enablement: Experience in developing tools and materials that empower sales teams to effectively sell products
- Demand Generation: Proven familiarity with generating leads and driving demand through various marketing channels
- Account-Based Marketing (ABM): Proficient in designing and implementing ABM strategies to target key accounts
- Data-Driven Decision Making: Strong analytical skills with the ability to interpret data and derive actionable insights
- Collaboration Tools: Experience with project management and collaboration tools such as Jira, Asana, or Trello
What the job involves
- As a technical product marketer at Lambda, you know the AI/ML landscape inside and out. You can speak to the intricacies of building, fine-tuning, and deploying AI model one minute, and then seamlessly shift to a conversation about crafting high-impact, full-funnel marketing campaigns the next.
- If you’re driven by the idea of helping AI teams (from startups to Fortune 500 enterprises) turn cutting-edge research into real-world impact, we want you on our team
- Bring AI/ML Solutions to Life: You’ll own the GTM campaigns for products at Lambda, shaping how we position and talk about them in a fast-evolving market. Your work will range from conceptualizing demand-generation strategies to creating compelling product stories that resonate with everyone from engineers to C-level executives
- Design and Execute Winning Campaigns: Dig deep into AI/ML trends and translate that understanding into campaigns that captivate engineers. You’ll craft and refine messaging that grabs attention, plan multi-channel activations and spur action, and keep your finger on the pulse of campaign performance to optimize on the fly
- Collaborate with Technical Teams: You won’t just tell the story, you’ll prove the value. By partnering closely with our product and engineering teams, you’ll ensure every campaign is technically accurate, relevant to AI engineers, and showcases the actual impact GPU-accelerated computing can have on real-world AI/ML workloads
- Empower Sales with AI/ML Expertise: Your technical familiarity with AI/ML means you’ll be a go-to resource for our GTM teams. You’ll develop sales enablement materials, lead education sessions, and help conquer the competition with battle cards, product demos, and how-to guides—that not only inform but also inspire confidence
- Execute Account-Based Marketing (ABM): You’ll Develop tailored marketing strategies for high-value accounts, zeroing in on their specific AI/ML challenges and opportunities. You’ll orchestrate targeted outreach plans that resonate with each account’s unique goals, paving the way for stronger partnerships and faster adoption
- Run Webinars, Events, and Workshops: From big-name conferences to targeted meetups, you’ll identify where and how Lambda can make the biggest splash. You’ll curate the content plan, shape the messaging, and—when needed—take the stage yourself
- Make Data-Driven Decisions: You’ll keep a close eye on KPIs, iterating on campaign strategies to drive more leads, higher engagement, and stronger conversions. Sharing key performance insights with leadership and cross-functional partners will be second nature
- You will be supported by peers specializing in Events & Sponsorships, Demand Generation, Growth, Content, Web, Marketing Automation and Design
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
Top investors
26% employee growth in 12 months
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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