Product Marketing Manager - USA

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.

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.

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.

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