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Telnyx is building a private, global, multi-cloud IP network with hyperlocal edge connectivity. The company is profitable and financially stable, focused on modernizing connectivity through innovative APIs and infrastructure.
In this role, you will own go-to-market strategy for Telnyx's AI Compute product line, which includes inference (serverless and dedicated GPU), embeddings, AI Gateway, and Decision Models. You'll work with ML platform teams, inference buyers, and voice-AI builders. The core narrative is that performance depends on both network and hardware—Telnyx is carrier-native, runs on its own NVIDIA GPUs within its private global network, and adds no cloud margin to token costs.
Key responsibilities include:
- Own positioning, messaging, and consistency across all AI Compute products (web, sales decks, docs, campaigns)
- Run end-to-end product launches: tiering, briefs, emails, web pages, enablement, and post-launch pipeline analysis
- Lead the benchmarking program: decide which latency, quality, and cost comparisons to publish; work with engineering on methodology; translate results into sales proof points
- Build the inference economics story: TCO calculators, pricing narratives versus hyperscalers and hosted-inference providers, competitive battlecards
- Partner with demand generation on compute campaigns (competitive, webinars, paid) by owning briefs, ICP definition, offers, and conversion paths
- Design product-activation and lifecycle email campaigns for compute users
- Enable sales with battlecards, one-pagers, objection handling, sales labs, and pricing/competitor data
- Maintain competitive maps for inference and speech providers; feed insights into product roadmap conversations
- Serve as the compute voice for analyst briefings, customer stories, and press
This is a senior individual-contributor role with full ownership of a product line. The marketing team runs on code and agents rather than traditional SaaS tools; you'll improve PMM workflows and automate parts of the job. Success is measured by inference consumption, dedicated GPU contract value, and pipeline attributed to compute launches and campaigns.
REQUIREMENTS:
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); will work with shared agents day-to-day and continuously build/improve autonomous agents for reporting, campaign tracking, ICP research, and content production
- Can explain inference serving, GPU economics, latency/throughput trade-offs, and speech model quality to ML engineers and CFOs at appropriate levels of detail
- Has run launches for fast-shipping product lines (monthly or faster); can articulate the launch system, not just individual launches
- Writes clearly and fast; pages, briefs, battlecards, and talk tracks are 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 inference APIs, open-weight models, or speech APIs; can run demos from terminal
- Background at hosted-inference, speech, or GPU cloud companies, or marketing against them
- Exposure to analyst relations (Gartner, Frost, G2) and customer-story programs
