Founding Solutions Engineer - USA Job at Inworld AI (Mountain View)

Job Responsibility

Partner with GTM Leads on deals — lead technical discovery, run POCs, and own the solution design from first call through close
Build working prototypes and reference integrations that demonstrate Inworld's TTS, STT, LLM Router, LLM inference, and Realtime API solutions in the customer's actual context — not just a demo environment
Serve as the primary technical advisor during onboarding, getting customers from signed contract to production-quality integration
Translate customer requirements into actionable feedback for Product and Engineering
Answer deep technical questions live — latency tradeoffs, on-prem vs. cloud deployment, streaming architecture, model selection — without needing backup
Build and maintain a library of integration examples, demo environments, and technical collateral that the whole GTM team can use
Identify expansion opportunities by understanding what customers are building and where Inworld can do more
Contribute to shaping our technical sales process as an early hire — you'll define what great looks like here
Work closely with GTM leadership to redefine modern GTM and sales process

5+ years of experience in a customer-facing technical role (Solutions Engineer, Sales Engineer, Solutions Architect, or Technical Account Manager)
Strong hands-on coding ability — you can write production-quality integration code, not just scripts. Python strongly preferred
JavaScript/TypeScript a plus
Deep familiarity with AI/ML APIs — you understand how to work with LLMs, speech models, and streaming APIs, and can explain tradeoffs to both engineers and executives
Demonstrated ability to run technical POCs end-to-end and drive them to a decision
Effective communicator who can bridge technical and business conversations with ease
High level of empathy and integrity in customer interactions
Thrives in ambiguity and sees constant change as opportunity, not obstacle
Bachelor's degree or higher in a technical domain

Experience with voice AI, TTS, STT, or real-time audio and speech systems
Background in gaming, CCaaS, or media and entertainment — our top customer verticals
Familiarity with on-premise and edge deployment patterns (containerization, model serving, quantization)
Experience with WebSocket/WebRTC or real-time streaming infrastructure
Prior experience at a high-growth startup or as a founder/operator
Experience with modern GTM tooling (Clay, n8n, Zapier, 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)