San Francisco, CA
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.
Own the monthly close, reconciliations, revenue recognition, reporting, and core accounting operations as the first internal accounting hire. The role requires 4+ years of accounting experience, strong ASC 606 and audit knowledge, and the ability to build scalable processes in a fast-growing company.
Owns the technical side of enterprise sales, from discovery and workflow-specific demos through tightly scoped Proofs of Value. The role requires 4–8+ years in solutions or sales engineering, strong API and integration fluency, and the ability to connect technical evaluations to commercial outcomes.
Own end-to-end demand generation at a fast-growing AI startup to build and optimize the marketing engine that drives high-quality enterprise pipeline. Manage paid campaigns, HubSpot automation, ABM, analytics, attribution, and funnel optimization while partnering closely with sales and other marketing teams.
Early-career Financial Analyst role at a voice AI startup. Build financial foundations through reporting, dashboards, revenue analysis, compensation support, budgeting, and forecasting while partnering with leadership in an ambiguous, high-growth environment.
Own post-sale technical success for enterprise partners at Bland AI, driving onboarding, go-live, adoption, ROI measurement, renewals, and expansion for voice AI platform deployments. Requires 5+ years in technical partner/customer success roles with strong API/integration fluency and self-directed execution.
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.
Own post-sales success for Bland AI's voice AI phone agents. Drive customer outcomes, troubleshoot with engineers, guide on best practices, and identify expansion opportunities for enterprise clients. Requires 5+ years technical customer-facing experience, API/integration 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.
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.
Builds and scales distributed systems for real-time voice processing, ML inference, and telephony integration using Kubernetes. Requires 5+ years experience with cloud infrastructure, real-time systems, and tools like Terraform and Datadog.