Senior Product Marketing Manager, AI Compute

Telnyx; Oregon; Hybride; USD 150 000 - 190 000; Plein temps

Résumé du poste

Telnyx LLC is seeking a senior Product Marketing Manager for AI Compute. You will own go-to-market for inference, embeddings, AI Gateway and GPU infrastructure, shaping positioning and launches across product and sales teams.

You will drive benchmarking, economic storytelling, and competitive campaigns to win ML platform teams and voice-AI builders, with emphasis on automating PMM workflows and scalable content.

Qualifications

• 5+ years in product marketing for developer-facing infra with AI/ML or GPU focus.
• AI-first marketer with built-in automation for reporting and content.
• Able to explain GPU economics, latency, and quality to engineers and CFO.
• Experience launching monthly or faster product updates.
• Strong writing across pages, briefs, battlecards, and talks.

Responsabilités

• Own positioning and messaging for AI Compute products across channels.
• Lead end-to-end launches: tiering, briefs, emails, pages, enablement.
• Run benchmarking program and publish latency, quality, and cost comparisons.
• Build inference economics narrative, pricing vs hyperscalers, and battlecards.
• Partner with demand gen on compute campaigns; define ICP and offers.
• Design lifecycle emails for compute users with sales, hand to GTM engineers.
• Enable sales with battlecards, one-pagers, and objection handling.
• Maintain competitive map for inference and speech with product roadmaps.
• Be the compute voice for analyst briefings and customer stories.

Connaissances

AI/ML marketing

GPU economics

Go-to-market

Product messaging

Campaign analytics

Formation

Bachelor's degree in Marketing/Engineering

Outils

Marketing automation

Sales enablement tools

Description du poste

About TelnyxTelnyx 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.We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.

The Role

You will own go-to-market for Telnyx's AI Compute products: inference, embeddings, AI Gateway and the GPU infrastructure beneath them. Telnyx runs inference on its own NVIDIA GPUs inside its private global network and ships new compute products and models every month. You'll turn that cadence into positioning, launches, public benchmarks and sales enablement that win ML platform teams and voice-AI builders, working day to day with product, engineering, sales and demand generation. This is a senior individual-contributor role with full ownership of a product line, on a marketing team that runs on code and agents rather than SaaS: you'll improve on PMM workflows and always look to automate parts of the job.

Your buyers are ML platform teams, inference buyers, and voice-AI builders choosing a speech stack. The story you'll tell is that performance is a function of the network and the hardware: Telnyx is carrier-native, runs on its own GPUs, and adds no cloud margin to every token.

You'll prove that story through public latency and quality benchmarks, inference economics and TCO, and competitive campaigns against hosted-inference and speech providers. Success is measured by inference consumption, dedicated GPU contract value, and pipeline attributed to compute launches and campaigns.

What you'll own

• 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.

What we are looking for

Must have

• 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.

Nice to have

• 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.