AI voice agents for enterprise phone calls
Bland AI builds a conversational AI platform to automate inbound and outbound phone calls using realistic voice agents. It serves enterprises in sectors like finance, insurance, and healthcare, enabling scalable customer interactions with low latency and high security. The platform integrates custom TTS, inference, and transcription models for human-like conversations.
As a Forward Deployed Engineer, you will design, deploy, and iterate on AI voice agents for customers, translating their challenges into production-ready solutions. You will own the end-to-end delivery, collaborate with customer teams, and drive adoption of Bland AI's technology.
Develops next-generation multimodal LLMs integrating speech, text, tools, and real-time reasoning for conversational AI agents. Requires strong background in LLMs, multimodal models, fast experimentation, and production deployment experience.
Conducts foundational research and develops scalable ML models for speech-to-text, text-to-speech, and neural audio codecs in real-time voice AI agents. Requires deep expertise in voice modeling, self-supervised learning, and production deployment at enterprise scale.
Owns post-sales customer journey for AI phone agents, driving launches, ROI, expansions, and troubleshooting technical issues with engineering. Requires 5+ years in technical customer-facing roles, API/SQL fluency, and strong communication skills.
Leads growth marketing efforts including performance marketing on Google, Meta, and LinkedIn; drives SEO and content creation for key pages and social channels; manages campaigns and shapes brand messaging. Requires independence, creativity, resourcefulness, and mission alignment with AI customer experiences.
Owns and closes complex enterprise SaaS deals for Voice AI platform using MEDDPICC qualification and value-based selling. Requires 4-8 years full-cycle sales experience with $100k+ ACV deals and technical buyer engagement.
Drives net new revenue by managing full sales cycles for Voice AI platform to mid-market organizations, including outbound prospecting, demos, and multi-threading stakeholders. Requires 2-5 years full-cycle SaaS experience with technical products and proven quota attainment.
Prospect and qualify leads through cold outreach to drive pipeline and pass meetings to Account Executives for a startup building AI-phone agents. Requires 1+ year SaaS BDR experience, startup mindset, and comfort with technical sales.
Develop and execute multi-format content strategies including blogs, social posts, videos, and email campaigns to drive brand awareness and product adoption for AI voice agents. Requires creativity, resourcefulness, and AI-savvy marketing skills in an onsite San Francisco role.
Owns post-sales customer success for AI phone agents, driving deployments, ROI, expansions, and troubleshooting with technical expertise. Requires 5+ years in technical customer-facing roles, API/SQL fluency, and cross-functional collaboration.
Customer Engineer provides technical support to enterprise customers and developers, triaging issues, debugging with tools like Datadog and SQL, and building dashboards/workflows. Requires 3+ years experience, strong troubleshooting, and basic JS proficiency.