--- title: 'Head of Customer Success & Account Management - USA at Inworld' canonical: 'https://feeny.ai/job/head-of-customer-success-account-management-usa-inworld-mountain-view-1p2a6p94mej5' type: 'job' last_seen: '2026-10-18' --- # Head of Customer Success & Account Management - USA at Inworld - **Company:** Inworld - **Location:** Mountain View, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-07 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/inworld-ai/37de312a-51ed-42bf-8c69-fb0affd62731 ## 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 are looking for a Head of Customer Success & Account Management to build and lead our post-sales function as we scale. This is a foundational leadership role: you will own the customer lifecycle after close, from onboarding and adoption through renewals, expansion and executive relationships. The ideal candidate has carried retention and expansion targets, built a high-performing customer success and account management motion for complex enterprise customers, and is AI-native, using agents, automation and customer signals to identify risk, accelerate value realization and scale high-touch engagement without linear headcount growth. You will be a player-coach early, directly owning strategic accounts while you build the team, operating model and playbook behind you. Candidates are ideally based in the SF Bay Area or willing to relocate (you will be working on-site at our Mountain View office a few days a week), but remote candidates will also be considered. ## Responsibilities - Retention & Expansion: Own gross and net revenue retention, renewal performance and expansion pipeline. Set targets, build the forecast, and hold the team accountable to predictable renewals and durable account growth. - Customer Outcomes: Build a rigorous lifecycle from onboarding through adoption and value realization, including success plans, health scoring, usage milestones and executive business reviews. Ensure customers can tie our products to measurable business outcomes. - Strategic Account Management: Personally own our highest-value and most complex accounts. Build multi-threaded relationships across technical, business and executive stakeholders, lead renewal and expansion strategy, and navigate escalations with urgency and judgment. - Post-Sales Operating Model: Define customer segmentation, coverage, service levels and the division of responsibilities across Customer Success, Account Management, Solutions, Support and Sales. Create repeatable playbooks that scale without sacrificing customer quality. - Systems, Data & AI: Own the post-sales stack and reporting layer, including CRM hygiene, customer health, product usage, renewal and expansion forecasting. Use AI agents and automation for account research, meeting intelligence, risk detection, next-best actions and scalable customer engagement. - Cross-Functional Leadership: Partner closely with Sales on handoffs and account strategy, and with Product, Engineering and Support on adoption blockers, escalations and the voice of the customer. Translate recurring customer needs into clear product and operational priorities. - Player-Coach: Directly manage strategic accounts while recruiting, ramping and coaching our first Customer Success and Account Management hires. ## Requirements - 7+ years in customer success, account management or post-sales, including 3+ years leading and hiring teams - Track record of building or scaling a post-sales motion at a high-growth startup and consistently delivering strong gross retention, net retention and expansion results - Experience owning a renewal and expansion number, with the commercial judgment to forecast accurately, negotiate complex renewals and create account growth plans - Deep experience managing strategic enterprise customers, building executive relationships and navigating technical, operational and commercial complexity - Comfort with highly technical products and technical buyers, with the credibility to engage Product and Engineering teams as well as senior business stakeholders - Hands-on command of modern CRM and customer success tooling, plus a strong point of view on using AI, automation, product usage and customer signals to scale the function - Demonstrated ability to hire, ramp and retain strong Customer Success and Account Management talent, with a bench of people who would join you again - Ability to operate independently and thrive in ambiguity, with no task too small and exceptional written and verbal communication skills The United States base salary range for this full-time position is between $230,000 - $290,000 + variable + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. [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 - [Director, Sales Development - USA](https://feeny.ai/job/director-sales-development-usa-inworld-mountain-view-pyewc6hescyz) — Mountain View, CA - [Senior Content Marketing Manager - USA](https://feeny.ai/job/senior-content-marketing-manager-usa-inworld-mountain-view-kn1z7fdxd85d) — 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 - [Founding AI Solutions Engineer - USA](https://feeny.ai/job/founding-ai-solutions-engineer-usa-inworld-mountain-view-tq1ppzf0qwmq) — Mountain View, CA - [Staff / Principal Machine Learning Engineer, Inference - Switzerland](https://feeny.ai/job/staff-principal-machine-learning-engineer-inference-switzerland-inworld-f7emse251crp) — Switzerland - [Staff / Principal Machine Learning Engineer, Inference - UK](https://feeny.ai/job/staff-principal-machine-learning-engineer-inference-uk-inworld-united-kingdom-p52te33gaj10) — United Kingdom - [Senior / Lead Machine Learning Engineer, Inference - Serbia](https://feeny.ai/job/senior-lead-machine-learning-engineer-inference-serbia-inworld-serbia-1vhdr56n8jjb) — Serbia - [Senior / Lead Machine Learning Engineer, Inference - Germany](https://feeny.ai/job/senior-lead-machine-learning-engineer-inference-germany-inworld-germany-79qa3m65a8m5) — Germany - [Staff / Principal Machine Learning Engineer, Inference - USA](https://feeny.ai/job/staff-principal-machine-learning-engineer-inference-usa-inworld-mountain-view-sfgvvj07jfhy) — Mountain View, CA