Senior Product Marketing Manager, AI Compute

About this role

About Telnyx 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. 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.

What you'll own You'll own the full AI Compute line: inference (serverless and dedicated GPU), embeddings, AI Gateway and Decision Models. 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.