--- title: 'Senior Content Marketing Manager - USA at Inworld' canonical: 'https://feeny.ai/job/senior-content-marketing-manager-usa-inworld-mountain-view-kn1z7fdxd85d' type: 'job' last_seen: '2026-10-18' --- # Senior Content Marketing Manager - USA at Inworld - **Company:** Inworld - **Location:** Mountain View, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-02 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/inworld-ai/c0214d0c-6526-4da3-91d1-cb4623287684 ## 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 an AI-native Senior Content Marketing Manager to build Inworld's voice in public. Realtime AI is a category where developers and founders form their shortlist long before they ever talk to us. Your job is to make sure we're in that conversation, consistently and in a voice worth following. This role covers executive thought leadership, our social channels, employer brand, and the production system behind all of these. You'll work closely with the VP of Marketing and PMM. It's a hands-on role: you'll write the post, cut the clip, and hit publish yourself. ## What you'll do Build the executive voice - Ghostwrite for our founders and technical leaders across LinkedIn, X, and long form - posts, essays, and POV pieces that read like them rather than like marketing - Sit in on research and engineering conversations and pull out the ideas worth publishing - Develop the editorial point of view that makes our content worth following rather than worth skimming Own our social channels - Run LinkedIn, X, and YouTube as owned channels with their own audience - Show up where developers actually discuss realtime voice - Reddit, Discord, Hacker News, and technical communities - Repurpose launches, benchmarks, press coverage, and demos into content we can use everywhere - Metrics that matter - follower quality, engagement from the right accounts, and traffic that converts Build an AI-native content engine - Use AI tooling to multiply output without flattening voice - drafting, research, repurposing, and format conversion - Break every substantial piece into the clips, threads, and posts - Build the systems and templates that let content ship on cadence - Hold the standard against AI slop ## What you'll bring - 4-7 years in content marketing, ideally to a developer or technical audience - Exceptional writer with range - you can write as a founder, as an engineer, and as the brand, and they sound different - Demonstrated track record growing a social presence on LinkedIn and X, with the numbers to show for it - Fluent with AI tooling as a production system - Comfortable interviewing researchers and engineers and turning it into something readable - Judgment about what not to publish - Power user of Claude Code or equivalent, thinking in terms of agents and systems 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 US base salary range for this full-time position is $150,000 - $210,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. [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 - [Head of Customer Success & Account Management - USA](https://feeny.ai/job/head-of-customer-success-account-management-usa-inworld-mountain-view-1p2a6p94mej5) — Mountain View, CA - [Director, Sales Development - USA](https://feeny.ai/job/director-sales-development-usa-inworld-mountain-view-pyewc6hescyz) — 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