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Zyphra

Open-source AI company building multimodal agents

GTM Engineer

Growth MarketingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Three to five years of hands-on experience in business-to-business go-to-market roles such as business development, sales operations, growth, or revenue operations, with direct exposure to customer segmentation, targeting, outbound strategy, and pipeline generation.
  • Deep working proficiency with artificial intelligence coding tools including Claude Code and Cursor or Copilot, with daily hands-on use.
  • Experience building and automating workflows with tools such as n8n, Zapier, Make, or similar platforms, including the ability to design and deploy complex multi-step automations.
  • Hands-on experience with Clay, Apollo, or equivalent data enrichment and prospecting platforms as a core part of the go-to-market toolset.
  • Ability to design systems for scale and identify manual go-to-market work as an engineering problem suitable for automation.
  • Ability to work across sales, marketing, product, and research teams to understand needs and ship solutions.
  • Demonstrated ability to operate in fast-moving, ambiguous environments where the playbook does not yet exist.

Responsibilities

  • Design and deploy end-to-end artificial-intelligence-powered go-to-market workflows spanning prospecting, outreach, enrichment, qualification, and pipeline management.
  • Build and own the go-to-market technology stack using tools such as Clay, n8n, HubSpot, and custom integrations, and architect the systems that connect them.
  • Develop and iterate customer segmentation models, ideal customer profile scoring frameworks, and signal-based targeting systems using enrichment data and artificial intelligence.
  • Rapidly prototype new go-to-market motions, run structured experiments with real pipeline data, and scale what works.
  • Use Claude Code, Cursor, and other artificial intelligence coding tools to build custom automations, scripts, and lightweight applications that accelerate go-to-market output.
  • Partner with sales, marketing, and business development to translate business needs into automated systems and measure revenue impact.
  • Identify new areas where artificial intelligence tools can be applied to go-to-market functions and experiment with emerging applications.
  • Develop communications processes, messaging frameworks, outreach sequences, and content systems that can be personalized at scale through artificial intelligence.

Desired Qualifications

  • Experience with customer relationship management platforms such as HubSpot and Salesforce, including building custom workflows, lifecycle stages, and reporting infrastructure.
  • Comfort writing Python or SQL to build custom integrations, data pipelines, or lightweight internal tools when off-the-shelf solutions are insufficient.
  • Familiarity with large language model prompting techniques and orchestration frameworks for process optimization, outreach personalization, research automation, scoring, and summarization.
  • Experience measuring and reporting on go-to-market automation return on investment, including pipeline generated, time saved, conversion improvements, and customer acquisition cost reduction.
  • Comfort designing and testing messaging frameworks at the ideal customer profile, vertical, or persona level and using artificial intelligence to personalize at scale.
  • Prior experience at an early-stage or high-growth artificial intelligence company, or strong familiarity with the artificial intelligence tooling ecosystem.
  • Interest in frontier artificial intelligence research and the ability to translate technical product concepts into compelling commercial narratives.

About the Company

Zyphra

Open-source AI company building multimodal agents

Zyphra Technologies builds open-source, open-science AI focused on multimodal models and efficient inference across devices. It develops autonomous agent platforms for enterprises, with Maia as a multimodal general agent prototype that combines neural architectures, long-term memory, reinforcement learning, and continual learning for text and audio. The company also releases open projects like Zamba (a cost-efficient foundation model), Zamba2-2.7B (a fast, small language model), and Zyda (a 1.3 trillion token training dataset) to support research and development. Their goal is to enable personalized AI that runs offline across diverse hardware while sharing transparent research resources and strengthening AI silicon performance.

Company size
51-200
Company stage
Series B
Total funding
$621.4M
Headquarters
San Francisco, CA
Founded
2019

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