- Location
- Mountain View, California
- Employment
- Full time
- Level
- Mid level
- Posted
- 5 weeks ago
About this role
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.
As published by Inworld AI. Applications are handled on their site.
Skills this posting mentions
About Inworld AI
Inworld AI is a realtime AI model and infrastructure company, and the leading consumer AI infrastructure platform. Inworld provides industry-leading realtime generative models, including the world’s #1-ranked voice AI models, intelligent model routing and optimization, and an Agent Runtime, enabling developers to build and deploy interactive AI applications to millions of concurrent users. Inworld primarily serves use cases where realtime interaction and sophisticated agent capabilities are critical, such as companion apps, developer assistants, and agents for learning & education, health & wellness, interactive media and enterprise. At its core, Inworld is a product-oriented research lab of top AI researchers and engineers. The founding team led product for LLMs at DeepMind and built Dialogflow, the conversational AI platform acquired by Google. Inworld has raised $125M+ from Lightspeed, Kleiner Perkins, Founders Fund, CRV, Stanford, Microsoft M12, Meta, Intel Capital, Samsung NEXT, LG Tech Ventures, and Bitkraft among others.
All 19 openings at Inworld AIOne click, then it is written
Apply to Inworld AI with a resume written for this role.
Queue Product Marketing Manager - USA and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Inworld AI’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Put this to work
Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
Listed from the job board Inworld AI publishes. Refolk is not the employer and does not handle their hiring. Applications go to Inworld AI directly.