Software Engineer, Growth - Rime Ai
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Role details
Tech stack
Job description
- Drive Growth: Build the conversion flows, onboarding experiences, and CTAs that turn casual visitors into power users.
- Master the Data: Architect the analytics pipelines and instrumentation that give us crystal-clear visibility into the entire user funnel.
- Partner on Strategy: Work side-by-side with our growth product manager, marketing, and sales partners to ship work that actually moves the needle., * Direct ownership of a high-visibility surface that’s central to how Rime grows.
- Collaborate closely with founders, marketing, and salesMeaningful equity upside at an early stage.
- High ownership, high standards, low bureaucracy.
At Rime, we…
- Are outliers
- Cut through the hype to focus on the craft
- Move fast with agency and freedom
- Maintain a growth mindset, finding joy in the struggle
- Do the right things, knowing that it’ll lead to making money
Requirements
- Full-Stack Fluency: Experience in the TypeScript/Node.js ecosystem and can own features from end to end.
- Bias towards Action and Autonomy: You act quickly on insights, preferring to show rather than tell.
- Growth Engineering: You’ve built and optimized signup flows, activation loops, and conversion funnels that drive real results.
- Data-Driven Execution: You measure, track, and optimize the features you build. Familiarity with A/B testing frameworks and experimentation infrastructure.
- Product Instinct: You prioritize user behavior and conversion as highly as code quality, building solutions that serve both the user and the business.
Nice to Have
- Experience with growth tooling (Segment, Metronome, Amplitude, Mixpanel, PostHog, or similar).
- Experience at an early-stage startup.
About the company
Rime is a foundation modeling company that builds voice AI for enterprises running customer experiences at scale. Our models are purpose-built for high-volume conversational deployments, engineered for the accuracy, performance, and deployment flexibility that production environments actually demand.
We started from a different premise than the rest of the field: build voice AI for human connection, not slop. Before we trained a single model, we built our own corpus: full-duplex, studio-quality conversational speech of normal people, recorded and annotated by linguists. It’s why our models are unparalleled in naturalism, and it’s why enterprises pick Rime when pilots need to make it to production.
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