Founding GTM / Head of Sales

Posted 2 Months Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
Senior level
Artificial Intelligence • Cloud • Machine Learning • Software
The Role
Lead end-to-end GTM: build outbound motion, run sales calls, manage pipeline and close deals. Set up the full sales funnel at an early-stage startup and represent a compression-for-LLM product to enterprise customers.
Summary Generated by Built In

The Token Company (YC W26, HF0 S26) is a seed stage startup in San Francisco, CA, and has raised ~$12M from First Round Capital, NEA, YC and SV Angel along with investors such as founders of Dropbox, Slack, Supercell and Huggingface and key people from OpenAI, xAI and DoorDash.

The Token Company trains machine learning models to compress raw LLM inputs before they are passed to the expensive LLMs. Our models are able to recognize parts of inputs that are unimportant, reducing inference costs for scale-ups and enterprises that integrate LLMs into their products. The team is 5 people with a research and product focus.

We are looking for a founding GTM to lead the whole pipeline from outbound to taking the calls and working deals through the funnel. The ideal candidate fits our culture and is:

  • A quick learner: grasping the product and being able to explain it is important

  • Experienced in taking calls and managing the sales pipeline

  • Have early stage GTM experience: have been involved in setting up full sales funnel motion from scratch previously at a startup or a scale-up

This role is eligible for revenue share and significant equity. We also provide housing, food, laundry and cleaning in SF, and a position to build the team around you with our resources.

Our website: thetokencompany.com

Skills Required

  • Quick learner able to grasp product and explain it
  • Experience taking sales calls and managing a sales pipeline
  • Early-stage GTM experience building a full sales funnel from scratch
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The Company
5 Employees
Year Founded: 2025

What We Do

The Token Company is a San Francisco-based seed-stage startup that develops machine-learning models and compression middleware for large-language-model inputs. Its technology identifies low-value content before inference, reducing token usage, computational cost, and latency while enabling more context in prompts. The company serves scale-ups and enterprises through an API that compresses long-form text, improving the efficiency of agents, document analysis, and other LLM applications.

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