GTM Lead - USA

The role

The North America GTM Lead will work with the Head of Global GTM to grow sales presence in North America. You will manage important prospects and customers while translating technical needs into scalable solutions.

What you will do

• Manage a book of business and run the end-to-end sales process.
• Translate customer needs into actionable technical requirements for Product and Engineering.
• Build credibility with external stakeholders through technical fluency.
• Own pipeline generation through outbound engagement, trend analysis, and mining the PLG funnel.
• Partner cross-functionally with Product, TPM, and Growth teams.
• Manage POCs and use GTM tooling to accelerate deal cycles.
• Contribute to shaping GTM strategy by identifying new verticals and use cases.

Required qualifications

• 5+ years of experience in customer facing roles (AE, SE, GTM Lead) with demonstrated technical aptitude.
• Demonstrated ability to manage external customer or partner relationships toward defined outcomes.
• Track record of independent execution, problem solving, and meticulous follow-through.
• Effective communicator with ability to bridge technical and business conversations.
• High level of empathy and integrity in client interactions.
• Thrive in ambiguity and see constant change as opportunity, not obstacle.
• Prior exposure to a product-led growth strategy and usage-based business model.
• Bachelors degree or higher, in a technical domain.

Nice to have

• Strong technical background (AI, cloud, infrastructure, or software-related environments preferred).
• Experience at a high-growth startup, or as a founder/operator.
• Experience with modern GTM systems (Clay, n8n, zapier etc.).
• Familiarity with the AI ecosystem and emerging use cases.
• Basic understanding of sales principles (MEDDPICC, BANT etc.).

Benefits

• benefits

Before you apply

• Candidates must be based in the SF Bay Area or willing to relocate.

About the company

Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. They build first-party speech models, serve LLMs, and run inference for high-volume, realtime workloads.