--- title: 'Founding AI Solutions Engineer - USA at Inworld' canonical: 'https://feeny.ai/job/founding-ai-solutions-engineer-usa-inworld-mountain-view-tq1ppzf0qwmq' type: 'job' last_seen: '2026-09-13' --- # Founding AI Solutions Engineer - USA at Inworld - **Company:** Inworld - **Location:** Mountain View, CA - **Employment:** full-time - **Posted:** 2026-05-23 - **Last confirmed live:** 2026-09-13 - **Apply:** https://jobs.ashbyhq.com/inworld-ai/9aef36c8-55e5-4e05-b3a7-00992ad69647 ## Job description ## 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. ## Your Impact We're looking for a Founding AI Solutions Engineer who will sit at the intersection of sales, product, and engineering — and become the technical backbone of our revenue team. You'll work directly with the senior leadership and our GTM team to help enterprise and developer customers go from "this sounds interesting" to "this is in production." You'll run POCs, build prototypes, and translate complex technical questions into clear answers for both engineers and executives. You'll own the technical side of deals pre- and post-signature — ensuring customers are genuinely successful, not just signed. Your work will directly shape how Inworld scales across gaming, CCaaS, media, consumer AI and beyond, and your fingerprints will be on the SE function as we build it. ## What You'll Do - 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 ## What You'll Bring - 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 Bonus Qualifications - 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). The base salary range for this full-time position is $170,000 - $250,000+ bonus + equity + benefits. [Inworld Jobs Privacy](https://inworld.ai/jobs-privacy) ## About Inworld ## Company Overview - **One-liner**: Inworld AI is the realtime AI company that builds voice AI systems—spanning speech-to-text, text-to-speech, and LLM routing—designed to feel as human as it sounds for consumer-facing applications. - **Entity Type**: Private (Series-stage undisclosed; raised $125M+) - **Headquarters**: Mountain View, California, USA (with additional presence in Vancouver, Canada) - **Founded**: 2021 - **Founders**: Kylan Gibbs (Co-founder & CEO), Ilya Gelfenbeyn (Co-founder & CSO), Michael Ermolenko (Co-founder & CTO) ## Core Business - **Primary industry/industries**: Artificial Intelligence – realtime voice AI infrastructure and research - **Target customers**: B2B (developers building AI-native applications), B2C (via customer applications such as companions, language learning, interactive media), and Enterprise (Fortune 500 brands like NVIDIA, NBCU, Logitech Streamlabs) - **Mission or purpose statement**: "To transform static software into living AI systems that autonomously evolve to better serve their users." ## Products & Services - **Realtime TTS**: Top-ranked realtime text-to-speech on the Artificial Analysis Realtime TTS Arena. Models include `inworld-tts-2` (research preview, 100+ languages with cross-lingual voice identity), `inworld-tts-1.5-max` (GA, 15 languages), and `inworld-tts-1.5-mini` (GA, lower latency). Supports voice cloning from 5–15 seconds of audio. [inworld.ai](https://inworld.ai/) - **Realtime STT**: Speech-to-text with multi-provider transcription (Inworld, Groq Whisper, AssemblyAI, Soniox) and voice profiling (age, pitch, emotion, vocal style, accent). [inworld.ai](https://inworld.ai/) - **Realtime API**: Full-duplex voice conversations over a single WebSocket session (STT + LLM + TTS), OpenAI Realtime protocol compatible. Ships in days, fails in fewer places. [inworld.ai](https://inworld.ai/) - **Realtime Router**: Routes to 220+ LLMs through one OpenAI-compatible endpoint across two tracks: 3P (external providers like OpenAI, Anthropic, Google) and 1P (Realtime Inference). [inworld.ai](https://inworld.ai/) - **Realtime Inference**: Inworld-hosted, optimized open-source models (Gemma 4, DeepSeek V3.2/V4, MiniMax-M2.5) built for consumer-scale cost and realtime latency. [inworld.ai](https://inworld.ai/) - **Compute**: Managed GPU for committed high-volume customers requiring predictable latency. [inworld.ai](https://inworld.ai/) ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Total Funding – Over $125M raised - **Notable Investors/Partners**: Lightspeed Venture Partners, Section 32, Kleiner Perkins, Founders Fund, CRV, Stanford University, Intel Capital, Microsoft M12, Meta, Samsung NEXT, LG Technology Ventures, Bitkraft. Customers include Status by Wishroll, Bible Chat, Talkpal, Particle, Luvu, NVIDIA, NBCU, and Logitech Streamlabs. [inworld.ai/resources/what-is-inworld-ai](https://inworld.ai/resources/what-is-inworld-ai) - **Growth Signals**: Status by Wishroll reached 1M users in 19 days on Inworld with a 95% AI cost reduction. Bible Chat scaled from 2M to 20M characters/week with an 85% TTS cost reduction. Talkpal serves 5 million language learners using Realtime TTS. [inworld.ai/resources/what-is-inworld-ai](https://inworld.ai/resources/what-is-inworld-ai) ## Competitive Advantages - **Product-oriented research lab**: The founding team led product for LLMs at DeepMind and built Dialogflow (Google). Maintains a research organization with backgrounds from Google, DeepMind, Meta, Apple, Cruise, Microsoft. [inworld.ai/resources/what-is-inworld-ai](https://inworld.ai/resources/what-is-inworld-ai) - **Top-ranked realtime TTS**: Ranked #1 on the Artificial Analysis Realtime TTS Arena. [inworld.ai](https://inworld.ai/) - **OpenAI Realtime API compatibility**: Developers can migrate by swapping the endpoint and auth credentials, lowering switching costs. [inworld.ai/resources/what-is-inworld-ai](https://inworld.ai/resources/what-is-inworld-ai) - **Full stack of voice infrastructure**: From STT to LLM routing to TTS and managed compute, all in one platform—eliminating the need to stitch together multiple vendors. [inworld.ai](https://inworld.ai/) ## Strategic Focus - **Realtime AI for consumer-facing applications**: Doubling down on companions, character chat, roleplay, customer support voice agents, sales/SDR agents, phone agents, and language learning. [inworld.ai](https://inworld.ai/) - **Cost reduction at scale**: Consistently driving down AI costs for customers (e.g., 95% reduction for Wishroll, 85% for Bible Chat) to enable free-tier consumer economics. [inworld.ai/resources/what-is-inworld-ai](https://inworld.ai/resources/what-is-inworld-ai) - **Enterprise expansion**: Offering on-premise deployment, HIPAA/BAA compliance, EU and India data residency, and dedicated account management. [inworld.ai/resources/what-is-inworld-ai](https://inworld.ai/resources/what-is-inworld-ai) ## Why Work Here - **Culture**: "A passionate engineering-minded team" where "technical depth is a requirement for deep empathy with our customers." The company states that no matter the role, they only hire technical people. [inworld.ai/careers](https://inworld.ai/careers) - **Autonomy and impact**: Employees are empowered with autonomy to work across research and engineering, drive product strategy, and "leave their mark on an entire industry." [inworld.ai/careers](https://inworld.ai/careers) - **Remote/Hybrid/Office**: Not explicitly stated on careers page, but headquarters are in Mountain View, CA, with a presence in Vancouver, Canada. Active job postings are location-specific (e.g., US-based roles). [inworld.ai/careers](https://inworld.ai/careers) - **Notable perks/engineering culture**: Focus on research and open-source contributions (github.com/inworld-ai). The company describes itself as a "product-oriented research lab" with a strong emphasis on shipping realtime AI products. [inworld.ai/resources/what-is-inworld-ai](https://inworld.ai/resources/what-is-inworld-ai) ## Sources 1. [inworld.ai](https://inworld.ai/) 2. [inworld.ai/careers](https://inworld.ai/careers) 3. [inworld.ai/resources/what-is-inworld-ai](https://inworld.ai/resources/what-is-inworld-ai) 4. [LinkedIn – Inworld AI](https://www.linkedin.com/company/inworld-ai) 5. [Datanyze – Inworld AI Company Profile](https://www.datanyze.com/companies/inworld-ai/559637359) ## Other roles at Inworld - [Product Marketing Manager - USA](https://feeny.ai/job/product-marketing-manager-usa-inworld-mountain-view-hgkbeava4ea5) — Mountain View, CA - [Performance Marketing Lead - USA](https://feeny.ai/job/performance-marketing-lead-usa-inworld-mountain-view-srjdwezxy15t) — Mountain View, CA - [Lead Technical Recruiter - USA](https://feeny.ai/job/lead-technical-recruiter-usa-inworld-mountain-view-ppf2z8f50ns8) — Mountain View, CA - [Product Lead - USA](https://feeny.ai/job/product-lead-usa-inworld-mountain-view-1w2xc2c0q2sa) — Mountain View, CA - [Staff / Principal Machine Learning Engineer, Serving - Switzerland](https://feeny.ai/job/staff-principal-machine-learning-engineer-serving-switzerland-inworld-f7emse251crp) — Switzerland - [Staff / Principal Machine Learning Engineer, Serving - UK](https://feeny.ai/job/staff-principal-machine-learning-engineer-serving-uk-inworld-united-kingdom-p52te33gaj10) — United Kingdom - [Senior / Lead Machine Learning Engineer, Serving - Serbia](https://feeny.ai/job/senior-lead-machine-learning-engineer-serving-serbia-inworld-serbia-1vhdr56n8jjb) — Serbia - [Senior / Lead Machine Learning Engineer, Serving - Germany](https://feeny.ai/job/senior-lead-machine-learning-engineer-serving-germany-inworld-germany-79qa3m65a8m5) — Germany - [Staff / Principal Machine Learning Engineer, Serving - USA](https://feeny.ai/job/staff-principal-machine-learning-engineer-serving-usa-inworld-mountain-view-sfgvvj07jfhy) — Mountain View, CA - [Staff / Principal Research Scientist - UK](https://feeny.ai/job/staff-principal-research-scientist-uk-inworld-united-kingdom-vfcekdtr8k1m) — United Kingdom