---
title: 'Performance Marketing Lead - USA at Inworld'
canonical: 'https://feeny.ai/job/performance-marketing-lead-usa-inworld-mountain-view-srjdwezxy15t'
type: 'job'
last_seen: '2026-09-13'
---

# Performance Marketing Lead - 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/fc29367f-45d6-4555-a67f-2c739c3a67d2

## 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 Performance Marketing Lead to own paid acquisition across three lanes: filling and optimizing our self-serve funnel, running ABM and retargeting across social, and building awareness in a category where competitors have a much larger share of voice. This role spans paid search and paid social (LinkedIn, Meta, X, Reddit). You’ll work closely with the VP of Marketing, GTM engineering, and sales. It's a hands-on role: you'll build the campaign, write the copy, ship the landing page, and report on the data yourself.

## What you'll do

Fill and optimize the self-serve funnel as a feeder for sales

- Own paid search as the primary acquisition engine for self-serve signups - keyword strategy, competitor capture, landing page testing, and continuous efficiency work against high-intent developer queries
- Optimize the full path from click through signup and activation, treating first successful API call and early usage as the qualification signal that routes an account to sales
- Partner with sales to define what makes a self-serve signup worth a conversation, and tune acquisition toward accounts that meet that bar rather than raw volume
- Build the reporting that follows a click through signup, activation, sales handoff, and closed revenue

Run ABM and retargeting programs across social

- Execute account-based campaigns on LinkedIn, Meta, and X against target account lists sourced from GTM engineering - you'll partner with them on what you need and how it's segmented
- Produce the creative these campaigns run on - write the copy and build lightweight assets yourself where you can, and scope, brief, and manage freelancers or agency partners where you can't
- Design multi-touch retargeting sequences that keep us in front of accounts already in the funnel, coordinated with sales outreach rather than running parallel to it
- Measure and report account engagement and pipeline influence using multi-touch attribution tools

Build brand awareness through display and upper-funnel media

- Run display and awareness campaigns that build recognition with developers and founders before they start actively evaluating
- Extend reach through developer-native placements - newsletters, podcasts, technical publications, and community sponsorships
- Develop upper-funnel creative and messaging in partnership with product marketing, and sustain enough variant volume that performance doesn't decay
- Establish sensible measurement for brand work - reach, share of voice, branded search lift, and self-serve signup trends

## What you'll bring

- 3–5 years hands-on in performance marketing, with demonstrated depth in both paid search and paid social
- Experience marketing to a developer audience in prior roles
- Experience marketing a self-serve product that feeds a sales motion
- Prior hands-on experience with X and Google DV360 are a plus
- Power user of Claude Code or equivalent, thinking in terms of agents and systems
- We're deliberately open on background. Three paths we'd be glad to see:
- Agency - you've run search and social across many accounts and budgets, you move fast, and you've seen more experiments than any single in-house role would give you
- CPG or consumer brand - you understand creative velocity, audience testing, and how to build awareness for something people aren't yet searching for
- B2B SaaS - you know ABM, LinkedIn targeting, and how marketing spend ladders up to a pipeline number sales will actually accept

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 $140,000 - $190,000+ 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
- [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
- [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, 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