About Inworld
Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models.
Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA.
Your impactWe'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.
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
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
Skills Required
- 3-5 years of experience in product marketing for developer tools, AI/ML infrastructure, APIs, or technical platform products
- Technical fluency, including reading documentation, calling APIs, running benchmarks, and collaborating with researchers and engineers
- Exceptional writing ability for a technical audience
- Experience marketing a self-serve product that supports a sales motion
- Comfort working weekly with engineering and research teams to extract technical details
- Prior experience with speech, audio, or realtime systems
- Power-user experience with Claude Code or an equivalent tool, with an agent- and systems-oriented mindset
- Based in the San Francisco Bay Area or willing to relocate
- Willingness to work on-site in the South Bay office several days per week
What We Do
Inworld AI is a realtime voice AI research lab and platform. It builds the voice layer for consumer AI, the speech that powers companions, tutors, coaches, customer-service agents, and creative and content applications. Inworld's flagship product is text-to-speech, top-ranked on the independent Artificial Analysis Speech Arena, and around it the company offers a full realtime voice stack. That stack includes text-to-speech (Realtime TTS-2, with over 100 languages and natural-language voice steering), speech-to-text, and an LLM router that reaches 200+ models from every major provider with no markup. Developers can call any product on its own, for example Realtime TTS through a single API call, or combine speech-to-text, an LLM, and text-to-speech into one live conversation through the Realtime API. Dedicated GPUs are available for the largest workloads. Inworld serves developers and founders building consumer AI products. As voice quality becomes commoditized, the company's focus is realtime conversation at scale: voice agents that respond in roughly 200 milliseconds for thousands of simultaneous users, at a cost that stays efficient as usage grows. Inworld is a product-oriented research lab. Its founding team pioneered conversational AI and generative models at API.AI (acquired by Google and renamed Dialogflow), Google, and DeepMind, with expertise spanning language models, speech synthesis, multimodal interaction, and design. Inworld has raised more than $125M from investors including Lightspeed, Kleiner Perkins, Founders Fund, CRV, Intel Capital, BITKRAFT Ventures, Section 32, Meta, Microsoft's M12, and LG Technology Ventures. The company was one of six selected for the 2022 Disney Accelerator.
