Product Engineer III

About the Role

The role is part of a fast-moving team that values collaboration, accountability, and unity. At Splice, the team is driven by a set of core values known as DISCO, which stands for Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. As a Product Engineer III, you will be expected to embody these values and contribute to a culture of remote work that is flexible, inclusive, and supportive.

The team at Splice is passionate about music and technology, and is committed to creating a platform that inspires and accelerates creative success for musicians and producers. As a Product Engineer III, you will have the opportunity to work on a wide range of projects, from building AI-powered music production tools to creating new features for the Splice platform.

What You Will Do

• Build and ship full-stack features across multiple AI-first products, including agentic music production and audio ML experiences
• Work directly with product managers and designers to take rough ideas to shipped product quickly
• Integrate and serve audio ML models in production and build the creator-facing surfaces that bring them to life
• Develop agents and AI-powered workflows that do real, meaningful work inside the product
• Use agentic coding tools, such as Claude Code, Cursor, and Codex, as a core part of your daily development workflow
• Own features end-to-end, from prototype to production, monitoring, and iteration
• Uphold code quality and architectural standards, even when moving fast
• Read diffs line by line and write tests for production-facing PRs
• Contribute to a codebase that improves over time, with integrated reliability monitoring and a measurable weekly impact on shipped features
• Collaborate with other engineers, product managers, and designers to identify and prioritize project requirements
• Participate in code reviews and ensure that all code meets the team's standards for quality and reliability

What We Are Looking For

• Experience as a full-stack engineer with expertise in AI and music technology
• Proficiency in React, Next.js, and TypeScript (frontend) and Node.js/TypeScript (backend)
• Experience with agentic coding tools, such as Claude Code, Cursor, and Codex
• Strong problem decomposition skills, with the ability to clarify scope, edge cases, and constraints
• AI fluency and control, with the ability to direct models, write targeted prompts, and reject unhelpful suggestions
• Verification discipline, with the ability to read diffs line by line, run code, write tests, and catch hallucinations before they ship
• Architectural judgment, with the ability to reason about blast radius, scale, and trade-offs for every meaningful technical decision
• Clear communication skills, with the ability to communicate efficiently with both humans and agents about technical decisions, blockers, and outcomes
• Experience working in a remote team environment, with the ability to work independently and collaboratively

Nice to Have

• Experience with music production or audio engineering
• Familiarity with machine learning frameworks and tools
• Experience with cloud-based platforms and infrastructure
• Certification in a relevant field, such as computer science or engineering

Benefits and Perks

• Competitive salary and benefits package
• Flexible and remote work environment
• Opportunity to work on cutting-edge projects and technologies
• Collaborative and supportive team environment
• Professional development opportunities, including training and education programs
• Access to the latest tools and technologies, including agentic coding tools and machine learning frameworks
• Recognition and rewards for outstanding performance and contributions

• Make sure to highlight your experience with full-stack development, AI, and music technology in your application and during interviews.
• Be prepared to showcase your problem decomposition skills and ability to clarify scope, edge cases, and constraints.
• Familiarize yourself with agentic coding tools, such as Claude Code, Cursor, and Codex, and be prepared to discuss your experience with these tools.
• Emphasize your ability to work independently and collaboratively in a remote team environment.
• Be prepared to discuss your experience with machine learning frameworks and tools, and how you have applied these in previous roles.
• Highlight your ability to communicate efficiently with both humans and agents about technical decisions, blockers, and outcomes.
• Make sure to research the company culture and values, and be prepared to discuss how you embody these in your work.