Founding AI Solutions Engineer

You'll sit at the intersection of sales, product, and engineering, becoming the technical backbone of the revenue team. You'll work directly with senior leadership and the GTM team to help enterprise and developer customers move from initial interest to production deployment. You'll run proof-of-concepts, build prototypes, and translate complex technical questions into clear answers for both engineers and executives. You'll own the technical side of deals both before and after signature, ensuring customers are genuinely successful in production, not just signed. Your work will directly shape how Inworld scales across gaming, CCaaS, media, consumer AI, and beyond, and you'll help define the Solutions Engineering function as an early hire.

Responsibilities

  • Partner with GTM Leads on deals, lead technical discovery, run POCs, and own solution design from first call through close
  • Build working prototypes and reference integrations demonstrating TTS, STT, LLM Router, LLM inference, and Realtime API solutions in the customer's actual context
  • Serve as the primary technical advisor during onboarding, taking customers from signed contract to production-quality integration
  • Translate customer requirements into actionable feedback for Product and Engineering
  • Answer deep technical questions live covering latency tradeoffs, on-prem vs cloud deployment, streaming architecture, and model selection
  • Build and maintain a library of integration examples, demo environments, and technical collateral for the GTM team
  • Identify expansion opportunities by understanding what customers are building and where Inworld can do more
  • Contribute to shaping the technical sales process as an early hire
  • Work closely with GTM leadership to redefine modern GTM and sales process

Requirements

  • 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 with production-quality integration code, Python strongly preferred, JavaScript/TypeScript a plus
  • Deep familiarity with AI/ML APIs including LLMs, speech models, and streaming APIs, with ability to explain tradeoffs to 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
  • High level of empathy and integrity in customer interactions
  • Thrives in ambiguity
  • Bachelor's degree or higher in a technical domain

Benefits

  • Bonus
  • Equity

See also

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