Enterprise GTM

Company Overview

Our client is a leader in the AI technology space, focusing on breakthrough performance, usability, and cost efficiency. They are at the forefront of revolutionizing the computing landscape, driven by a diverse team passionate about building innovative AI platforms. As an organization, they value collaboration, curiosity, and a commitment to solving complex challenges. They’re expanding their team and welcome contributors at all experience levels.

Role Overview

We're looking for a dynamic individual to join our client in a remote role based out of New York, NY, Austin, TX, or Santa Clara, CA. This position is pivotal in engaging with engineering-led customers and AI/ML teams, helping shape the company's go-to-market strategies as they navigate the evolving tech landscape.

Responsibilities

• Take ownership of the full go-to-market funnel, from prospecting to closing, focusing on early revenue traction.
• Demonstrate curiosity and drive to identify new players, markets, and business models that will influence the engineering and product roadmap.
• Engage with developers, architects, and product leaders to discern their needs and effectively position solutions.
• Create repeatable playbooks, resources, and workflows to scale alongside the company's growth.

Requirements

• Ability to engage in technical conversations with engineering-led customers and AI/ML teams.
• Energetic approach to ambiguity, problem-solving, and developing processes from scratch.
• Balance strategic thinking with tactical execution across initiatives.
• Motivated by the momentum of early-stage growth and collaboration with founders.
• Understanding that smaller deals are equally important as larger ones.

Benefits

Our client offers a supportive and innovative workplace where you can deepen your understanding of AI workloads and semiconductor architectures. You'll gain insights into how early-stage go-to-market strategies influence product direction and relationships with partners, along with unique perspectives on the semiconductor and AI ecosystems.