Rime
Forward Deployed Engineer
San Francisco Bay Area
Sponsorship not specified$185k-$235kDetected 71 days ago
Full-Stack DevelopmentCloud PlatformsRESTVoIPResearch
About the role
- We're looking for a Forward Deployed Engineer to operate at the intersection of sales, product, and engineering - helping enterprise customers bring frontier voice AI into production.
- This is not a traditional solutions engineer role.
- The work is highly hands-on and fast-moving.
Responsibilities
- Be a technical closer. You're in the room for every strategic deal - not to present slides, but to build what it takes to win.
- Own the POC end-to-end. Design, build, and ship production-quality proof-of-concepts - frontend, backend, integrations - fast.
- Own the customer relationship technically. Manage technical stakeholders from first demo through go-live and expansion. Pre-sales and post-sales are yours.
- Turn what you build into product. Patterns you identify across deals go upstream - you're a direct input to the roadmap.
- You're in the room for every strategic deal - not to present slides, but to build what it takes to win.
Requirements
- You can ship clean, production-quality systems quickly and aren't precious about the stack.
Nice to have
- Experience with voice AI, TTS, speech, or real-time systems
- Background working with ISVs, platforms, or developer ecosystems
- Familiarity with WebRTC, streaming, or low-latency systems
- Direct exposure to how frontier AI gets built and deployed at scale, across some of the most demanding industries in the world.
- Cut through the hype to focus on the craft
- Move fast with agency and freedom
- If that sounds like you too, you'll be a great fit for Rime!
Compensation
- Competitive compensation with meaningful equity and real performance upside — we want to build a small, high-performing team that has real ownership.
Company info
- Rime builds voice AI for enterprises running customer experiences at scale.
- Our text-to-speech models are purpose-built for high-volume conversational deployments, engineered for the pronunciation accuracy, latency, and deployment flexibility that production environments actually demand.
- We started from a different premise than the rest of the field: voice AI isn't bottlenecked by model architecture.
- It's bottlenecked by data.
- So before we trained a single model, we built our own corpus: full-duplex, studio-quality conversational speech, recorded and annotated by PhD linguists.
- That's our moat.
- It's also why enterprises pick Rime when pilots need to convert into production.
- We're backed by top-tier investors including Unusual Ventures, and we've built a team at the intersection of product, research, and craft.
- Building voice models is an art.
- We intend to master it.
- The best candidates are strong builders who enjoy working directly with customers and thrive in ambiguous environments.
This listing is sourced directly from Rime's careers page and normalized into a canonical job model.