Symphony is building voice AI sims for large enterprises. Use cases include training front-line employees and augmenting & automating customer-facing workflows.
Since launching in January, we’re live with 4 of the top 10 auto insurers in North America, helping train 1000s of newly hired claims adjusters using interactive voice AI simulations of real-world scenarios. Teams can create an infinite number of simulations allowing their teams to practice the job - avoiding costly mistakes with real customers.
We graduated from YCombinator’s F24 batch and are backed by top investors in Silicon Valley including 22 Ventures, Transpose Platform, and Rebel Fund.
- Take full ownership of new product features — from scoping and user experience design to implementation across the frontend, backend, database, and infrastructure layers
- Refine and test prompts and build new agentic features, researching novel approaches to improve reliability of LLM-based functionality
- Collaborate with founders to scope, plan, and prioritize new features
- Lead engineering best practices and code quality standards, leveraging AI coding tools to accelerate development and maintain technical excellence
- Work directly with enterprise customers—from sales and onboarding to implementation and ongoing support—to ensure successful adoption and feedback-driven iteration
- Are excited to experiment with new features as LLMs unlock product experiences that require rethinking traditional UI and workflows
- Enjoy thinking through new features end to end, including scalability, extensible abstractions, data model design, and long-term reliability
- Want extreme autonomy and ownership, including leading mission-critical initiatives from idea to execution
- Are ready to have a front-row seat at a high-growth startup, helping us craft our long-term vision, contributing to our GTM efforts, and pushing our hiring efforts
- Use the latest AI coding tools to ship a critical feature end-to end
- Review user session recordings and feedback to find ways to improve our no-code role play builder
- Research and test advancements in the voice AI world, including new LLM and speech-to-text capabilities that can make AI roleplays more dynamic and human-like
- Build a custom prototype of a new feature to help push a sale
- Propose roadmap changes to the founders
- 3+ years of software engineering experience, owning end-to-end development efforts and leading technical decisions
- Experience across the stack, including frontend frameworks like React/Next.js, backend technologies like Node.js or Flask, relational databases, and/or infrastructure management
- High ownership - you’re not afraid to take accountability for large bodies of mission-critical work
- Strong verbal and written communication skills that enable crystal-clear, unambiguous collaboration with customers, teammates, and during technical discussions
- Opinionated about code quality and architectural decisions, with a bias toward maintainability, clarity, and long-term scalability
- Able to operate with minimal direction—proactively asking questions, doing your own research, and engaging others to resolve ambiguity
- Prior experience founding a software startup
- Built tools leveraging LLMs or ML in production
- Experience with real-time applications and technologies such as WebRTC, WebSockets, or streaming media pipelines
- Experience working on enterprise Saas applications
You’ll chat with one of the founders to quickly get a sense of mutual fit and whether it makes sense to move forward.
A deeper conversation covering your past work, technical skills, and how you approach problems.
You’ll join us for about a week and work on a real project. We’ll compensate you hourly. This is a chance for us to see how you work, and for you to get a feel for what it’s like to be part of the team.
- The project
- You’ll take on a well-scoped but ambiguous problem — the kind of work you’d be doing day-to-day. This won’t be throwaway work; it’ll be a real feature or improvement we plan to ship.
- You’ll take on a well-scoped but ambiguous problem — the kind of work you’d be doing day-to-day. This won’t be throwaway work; it’ll be a real feature or improvement we plan to ship.
- Timing
- Ideally, you’re able to work full-time in-person for the trial week. But we understand that may not always be feasible — if needed, nights and weekends are fine, and we’ll work with your schedule to make sure we have enough overlap to collaborate.
- Ideally, you’re able to work full-time in-person for the trial week. But we understand that may not always be feasible — if needed, nights and weekends are fine, and we’ll work with your schedule to make sure we have enough overlap to collaborate.
We aim to make a final decision within 1 day of completing the work trial.