Product marketing manager in AI compute

Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.

• Own positioning and messaging for every AI Compute product, from the model catalogue to dedicated GPU contracts, and keep it consistent across web, sales decks, docs and campaigns.
• Run launches end to end: tiering, launch brief, product update emails, web pages, enablement, and the post-launch read-out on activation and pipeline.
• Lead the benchmarking program as a marketing asset: decide which latency, quality and cost comparisons to publish, work with engineering on methodology, and turn results into pages, blogs and sales proof points.
• Build the inference economics story: TCO and savings calculators, pricing narrative versus hyperscalers and hosted-inference providers, and the competitive battlecards behind it.
• Partner with demand generation on compute campaigns (competitive, webinar series, paid) by owning the brief, the ICP, the offer and the conversion path.
• Design product-activation and ICP-based lifecycle email for compute users with sales, and hand the build to the GTM engineering team.
• Enable sales: battlecards, one-pagers, objection handling, sales labs and the pricing and competitor data AEs and BDRs rely on.
• Maintain the competitive map for inference and speech (hosted-inference providers, speech vendors, hyperscaler AI services) and feed it into roadmap conversations with product.
• Be the compute voice for analyst briefings, customer stories and press.

• 5+ years in product marketing for developer-facing infrastructure, with at least 2 years on AI/ML, cloud compute, GPU, or data platform products.
• Works AI-first, not AI-assisted. Our marketing stack is agents rather than SaaS: you'll work with the teams shared agents day to day and continuously build and improve autonomous agents for reporting, campaign tracking, ICP research and content production.
• Can explain inference serving, GPU economics, latency and throughput trade-offs, and speech model quality to an ML engineer without a translator, and to a CFO in one slide.
• Has run launches for a fast-shipping product line (monthly or faster) and can show the launch system, not just the launches.
• Writes clearly and fast: pages, briefs, battlecards and talk tracks are the daily output.
• Comfortable owning a number (consumption, pipeline, TCV) jointly with sales.
• Будет плюсом: Experience marketing usage-based or consumption-priced products; Hands-on with an inference API, open-weight models or a speech API; can run a demo from the terminal; Background at a hosted-inference, speech, GPU cloud company, or marketing against them; Exposure to analyst relations (Gartner, Frost, G2) and customer-story programs is a plus

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