Bland (bland.com) Benefits Overview

Conduct an end-to-end machine learning research project focused on audio and voice AI. Responsibilities include literature review, implementation, experimentation, ablation design, model training and evaluation on large-scale telephony audio, presenting findings, and potentially moving successful results into production. Potential areas include text-to-speech, speech recognition, neural audio codecs, streaming inference, and conversational turn-taking.

Own the product’s interaction model, visual direction, and production design system for an AI voice-agent dashboard. Design major product surfaces, define components and motion, contribute to product decisions, and implement frontend polish through code. The role focuses on complex, data-heavy B2B SaaS workflows used to build, test, evaluate, and operate LLM voice agents, with close collaboration across design, product, and engineering.

Own end-to-end demand generation to drive enterprise pipeline: build campaign plans across paid, email, events, ABM, and product launches; operate HubSpot and marketing automation; run paid acquisition; partner with Sales on ABM; build attribution, dashboards, and reporting; and optimize funnel conversion and lifecycle programs.