AI Product Engineer / Forward Deployed EngineerLocation: North America - Remote, with preference for Austin or San Francisco
Salary: $140,000-$180,000 base + equity
Type: Full-time
We're partnering with a high-growth AI technology company building the trust and reliability infrastructure behind production voice agents.
The business operates at the infrastructure layer of the rapidly growing voice AI market, helping engineering teams test, secure and monitor AI agents before and after deployment. Its platform has already analyzed more than 10 million production calls and tested over 10,000 voice agents, with customers across financial services, healthcare and telecom.
The opportunityYou'll work directly with enterprise customers to understand technical problems, translate their needs into product features and ship the solution yourself.
This is a highly hands-on product engineering role where you'll own features end-to-end across discovery, prototyping, development and production. You'll work across frontend and backend systems while staying closely involved with the customers using what you build.
What you'll be doing - Working directly with technical enterprise customers to understand product requirements
- Turning ambiguous customer problems into clear, shippable features
- Owning product features from discovery through production and iteration
- Building across frontend, backend, APIs, integrations and AI workflows
- Supporting customer implementations, POCs and technical adoption
- Turning one-off customer needs into reusable platform capabilities
- Writing production code across TypeScript and Python
- Using AI coding tools such as Claude, Codex and Cursor throughout your development workflow
What we're looking for - 0-3 years of professional software or product engineering experience
- Degree from one of the following universities: Stanford University, Harvard University, University of California, Berkeley, Massachusetts Institute of Technology, Indian Institutes of Technology (all campuses), University of Pennsylvania, University of Waterloo, Columbia University, Carnegie Mellon University, Cornell University, University of Cambridge, University of Oxford, Yale University, University of Michigan-Ann Arbor, Northeastern University, Georgia Institute of Technology, University of Illinois Urbana-Champaign, or Technical University of Munich
- Strong TypeScript and Python skills
- Strong full-stack engineering fundamentals
- Ability to build and ship complete product features
- Experience using AI coding tools as part of your daily development workflow
- Strong product and design instincts
- Comfortable working directly with technical customers
- Ability to work through ambiguity and move quickly without detailed specifications
- High level of ownership and strong communication skills
- Degree from one of the company's designated target universities
Experience with voice AI, realtime systems, LLM evaluations, observability or agent workflows would be beneficial but isn't essential.
Experience with technologies such as React, Next.js, LiveKit, WebSockets, Pipecat, Vapi, Retell AI or ElevenLabs are nice to haves.
Why join? - Build infrastructure for one of the fastest-growing areas in AI
- Join a business with 10M+ production calls analyzed and 10K+ agents tested
- Work directly with major enterprise customers across regulated industries
- Own features end-to-end from customer problem through production
- Join a small, high-performance engineering culture shipping multiple times per day
- $140k-$180k base salary plus competitive equity
- Remote-first with approximately 10-20% travel
- Join at a stage with real customers, production usage and revenue while still having significant influence over the product
Candidates must be based within North American time zones. Austin or San Francisco are preferred.
Never miss an opportunity! Create an alert based on the job you applied for.