/roles — ROLE_438
Forward Deployed Engineer
Fast-growing voice AI startup deploying automated phone agents for enterprise customers
The role
- COMP
- $215K - $290K
- EQUITY
- Extremely competitive
- LOCATION
- San Francisco · South Bay Area
- WORKPLACE
- On-site
- EXPERIENCE
- 5+ years
- VISA
- None, Visa transfers
- STACK
- React, NodeJS, Python, AWS, JavaScript
- INDUSTRY
- AI, B2B, Devtools, API SDK, Enterprise
The company
Fast-growing voice AI startup whose agents handle logistics, sales, and customer support calls for thousands of businesses, doing work that once took large call-center teams.
- STAGE
- seed-stage
- FUNDING
- seed funding
- TEAM
- ~50 people
- FOUNDED
- 2023
JD — the work
About the role
You would bring the company's voice AI platform to enterprise clients, working inside their teams to stand up production-grade systems. Communication matters as much as code, since you explain things equally well to engineers and business leaders, drive adoption, and use what you learn in the field to shape the platform. Expect a mix of prototyping, full-stack integration work, customer-facing design sessions, and product feedback.
What you'll do
- Own customer deployments from first prototype to live production, keeping everyone informed about status and risks
- Develop deep know-how in voice agent design, with particular strength in prompting LLMs
- Write Python and JavaScript integrations that connect agents to CRMs, ERPs, schedulers, and other enterprise systems
- Join sales conversations to collect requirements, build quick demos, and walk clients through proposed architectures
- Scope work, remove obstacles, and send short, clear updates that keep teams in sync
- Package repeatable solutions as shared tooling or new platform building blocks
- Bring lessons from customer deployments back as clear product and GTM suggestions
What they're looking for
- 5+ years of software engineering experience
- Full-stack skills in Python and JavaScript, with Node.js, React, and AWS in the toolkit
- Exceptional communication with both technical and business audiences
- Comfort embedding with enterprise customers and owning delivery outcomes