GTM Lead
Embedding VC
GTM Lead
Embedding VC
Early-stage venture fund for Generative AI
About Lingopal
Lingopal builds real-time AI language technology, with a live translation product used in production today. We're now building our next product — an AI agent platform. Our target customers are enterprises with heavy customer-support needs (hospitality, airlines, travel) and fast-scaling AI-agent companies (Series C/D).
About the Role
We're looking for a GTM Lead to build our go-to-market motion from scratch — the first dedicated GTM hire for our new product. This is a sales-focused, build-the-playbook role: you'll own the sales strategy, run early enterprise conversations, and figure out what works before we scale it. You'll partner directly with the founders and help validate the go-to-market as the product itself is still evolving.
What You'll Do
- Build the GTM playbook from zero — positioning, target accounts, outbound motion, sales process, pricing inputs.
- Own enterprise sales end-to-end: prospecting, discovery, pilots, and closing.
- Sell into two segments: enterprises with heavy customer-support needs (e.g. hospitality, airlines) and AI-agent companies (Series C/D). Reach and win buyers at the Chief AI Officer, COO, and CTO level.
- Bring the market read back into product — your early conversations will help shape and validate direction.
What We're Looking For
- Sales-focused GTM operator with enterprise sales experience and a real closing track record.
- Proven ability to build a GTM motion from scratch (early-stage / 0→1, not just run an existing playbook).
- Strong market sense — you can find the wedge, read a segment, and prioritize where to spend.
- Comfortable selling a still-evolving product on its future vision, not just today's features.
- High ownership, entrepreneurial, thrives in ambiguity.
Early-stage venture fund for Generative AI
Embedding VC is an early-stage venture fund that backs Generative AI startups. It provides seed to early-stage capital and operational guidance, leveraging a team of current and former builders and operators who can help portfolio companies grow. The fund’s approach centers on working closely with founders and using hands-on experience to scale AI projects, including those aiming toward AGI, during a period described as a new computing super cycle driven by AI innovations. Unlike funds that rely mainly on financial leverage, Embedding VC differentiates itself through its deep operator network, practical support, and focus on and commitment to building capable, scalable AI businesses. The overall goal is to support ambitious AI founders to advance the development and deployment of AI technologies and capture value in the expanding AI ecosystem.
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