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Mountain View, California, United States
Hybrid
About Inworld
Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.
Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.
We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.
We’re looking for a pioneering North America GTM Lead who will work directly with the Head of Global GTM to grow our sales presence in North America. In this role, you will be managing some of our most important prospects and customers. You will be hands-on in translating complex customer needs into scalable solutions, shaping how new customers experience Inworld from their very first interaction.
You’ll be the architect of trust and technical credibility, working cross-functionally with product, engineering, and growth to help deals progress end-to-end, ensuring seamless adoption and long-term customer impact. Your work will lay the foundation for our GTM strategy, uncover new market opportunities, and directly influence how Inworld scales its solutions across industries.
Manage a robust book of business and run the end-to-end sales process, ensuring customer technical requirements are met and deals progress.
Translate customer needs into actionable technical requirements for Product and Engineering.
Build credibility with external stakeholders through technical fluency and solution-oriented thinking.
Own pipeline generation opportunities through outbound engagement, trend analysis, mining our rapidly growing PLG funnel, and working with our GTM Engineer and BDR team.
Partner cross-functionally with Product, TPM, and Growth teams to ensure a seamless customer experience.
Manage POCs and use GTM tooling to accelerate deal cycles and increase win rates.
Contribute to shaping GTM strategy by identifying new verticals, use cases, and expansion opportunities.
5+ years of experience in customer facing roles (AE, SE, GTM Lead) with demonstrated technical aptitude.
Strong technical background (AI, cloud, infrastructure, or software-related environments preferred).
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.
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.).
Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week).
The base salary range for this full-time position is between $150,000 - $200,000 + commission + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.
