---
title: 'Product Marketing Manager - USA at Inworld'
canonical: 'https://feeny.ai/job/product-marketing-manager-usa-inworld-mountain-view-hgkbeava4ea5'
type: 'job'
last_seen: '2026-09-13'
---

# Product Marketing Manager - USA at Inworld

- **Company:** Inworld
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/inworld-ai/1baa5425-2bb3-459f-9d67-8e7560206b67

## 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 Product Marketing Manager to own what Inworld says about itself and make it stick. Realtime voice is one of the fastest-moving categories in AI, and your job is to make that advantage legible, provable, and repeatable. This role runs on cadences: engineering ships continuously, and sales needs language for it the same week. You'll work closely with the sales, product and engineering, and DevRel. It's a hands-on role: you'll write the positioning, run the benchmark, ship the launch post, and sit in on customer calls yourself.

## What you'll do

Make one claim the whole company can repeat

- Define the core positioning claim and the proof behind it, then get it into the docs, the website, the deck, and how founders and engineers describe us in the room
- Retire competing versions of the story as they appear rather than letting them run in parallel

Turn what engineering ships into what sales can say

- Run a weekly cadence with engineering and research to convert what shipped into customer-facing language, for sales to use it that week
- Maintain the source of truth on what's live, what changed, and what it means for a developer evaluating us

Put proof in the room before price comes up

- Build the proof library sales reaches for - case studies, demo videos, one-pagers, and technical FAQs
- Sequence enablement so proof reaches the customer earlier in the conversation than commercial terms
- Produce the comparison substance that GEO, DevRel, and paid distribute - benchmarks, head-to-head breakdowns, and migration guides

Make a launch land more than once

- Build a repeatable launch motion - narrative, assets, channels, and measurement - that works for every release rather than being rebuilt each time
- Extend each launch past announcement week through follow-on content, integrations, and customer proof

Keep the competitive picture current enough to act on

- Maintain living comparisons on latency, quality, price, and reliability in a category that shifts weekly
- Feed that picture directly into proof assets and evaluation content

## What you'll bring

- 3–5 years in product marketing for developer tools, AI/ML infrastructure, APIs, or technical platform products
- Technical fluency - you can read the docs, call the API, run a benchmark, and hold your own with researchers and engineers
- Exceptional writing for a technical audience
- Experience marketing a self-serve product that feeds a sales motion
- Comfortable working at a weekly cadence with engineering and research, pulling technical detail rather than waiting for it to be handed over
- Prior experience with speech, audio, or realtime systems is a plus
- 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 base salary range for this full-time position is $190,000 - $260,000+ 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)

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