Product Marketing Lead at Humanloop (S20)
$80K - $180K  •  
The developer platform for LLM applications
San Francisco, CA, US
Full-time
3+ years
About Humanloop

Large Language Models and AI more generally are the next computing platform. Millions of developers will be building with this technology and at Humanloop you'll have a chance to work at the frontier and shape the future.

You'll get the chance to work really hard on a problem that matters alongside super-smart people who are passionate about what they do. The environment is fast-paced with new features being shipped every week or even every day. The customers we get to work with are themselves inspiring AI startups who are also trying to use this amazing new technology to build products and services that were previously science fiction.

We believe in:

  • Humanity first – autonomy, not automation
  • Creativity that ships
  • Growth mindset – iterate and improve
  • Jump into the cold water
  • Humility + idea meritocracy

Learn more about us: https://youtu.be/TlUZrm2jlCw?si=7S9-flidc6UDGoEI

About the role

We are hiring our first marketer to help us build our marketing foundation to scale our growth. You will work directly with Humanloop’s CEO to set the marketing strategy and then execute it. We are seeing strong early traction, but have a lot of work to build the foundation for our marketing strategy - including positioning & messaging, and figuring out what channels will help us grow fastest. We have a good idea of our ideal customer and need to build a strategy to reach them with a compelling value prop.

You will be responsible for:

  • Product marketing strategy: Gain a deep understanding of our audience, develop our positioning and messaging, and communicate about the product and its benefits to our audience.
  • Positioning: Develop and execute strategies to improve product positioning and messaging.
  • Messaging: Craft compelling messages across marketing channels (emails, web, etc).
  • Launches: Plan and execute product launches from strategy to messaging, channel strategy, and measurement; collaborating with product, sales, and customer success.
  • Lifecycle marketing: Create content and messaging for email drip campaigns throughout the customer lifecycle.
  • Content strategy: We want to become the destination for learning about building with LLMs and build the resources to be known as the experts. You’ll work with contractors and future content marketing hires to make this happen.
  • Sales & Customer Success Enablement: Partner with sales and customer success to create content to support their outreach and conversations with prospects and customers.

Skills and experience:

  • Marketing experience: At least three years of marketing experience, with a focus on product marketing.
  • Industry or business model experience: Experience marketing in a B2B top-down sales environment (its a bonus if you’ve experienced a technical or developer-focused product).
  • Experience setting marketing strategy AND executing: You’re able to balance strategic vision and operational excellence, from setting high-level team strategy to getting in the weeds planning launches and doing competitive research. This is an early-stage startup and you will be doing both.
  • Product marketing depth: With core competencies in positioning, messaging, and launch management.
  • Marketing breadth: You understand channel, content, and comms strategy in addition to product marketing strategy.
  • Writing ability: You’ve written short-form and long-form content, and can point to examples of your writing.
  • High-quality bar: You've developed marketing strategies and tactics that put the customer first, while hitting growth goals at the same time.
  • Interest in our product/mission-aligned/values-aligned: You’re genuinely excited about AI and its potential societal impacts. You want to be part of a company helping to ensure that AI is safe and useful to society.
  • Goal setting & prioritisation: You know how to set both short-term goals and long-term goals that are used for prioritisation and focused on impact.
Technology

Our current stack is

  • A Python backend with pytorch for our deep learning framework
  • Next/React for our frontend
  • AWS for most of our infrastructure

We're building software tools to help developers and founders evaluate how well their LLM apps are working and improve them through finetuning and experiments. By using Humanloop, companies can build much more defensible products on top of models like GPT-3.

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