ironquill.tech/board

$ cat jobs/enterprise-solutions-engineer-bland-9d693cc8d5e5.json

Enterprise Solutions Engineer

Bland·US·San Francisco or Remote·mid
Apply on ashby → Get AI match score →
Enterprise Solutions Engineer Reports To: Taylor Hyde https://www.linkedin.com/in/taylor-hyde/ – VP, Sales Location(s): San Francisco preferred (3–5 days in office); open to remote Title: Enterprise Solutions Engineer Experience Level: Individual Contributor Function: Pre-Sales | Solutions Engineering | Voice AI | Call Center Automation Core Product: Bland AI – Enterprise Voice AI Agent Platform Business Model: Platform fee (tiered) + consumption-based per-minute pricing Customers: Encompass Health, Signant Health, Kin Insurance, Corgi Insurance, and EvenUp Stage: Series C | ~75 employees | High-growth Total Funding: $100M+ raised; most recent $50M Series C led by Dell Technologies Capital About Bland AI Bland AI is the enterprise voice AI platform built for organizations with high-volume, complex customer conversations. Founded by Sobhan Nejad and Isaiah Granet in San Francisco, Bland built its own voice models and infrastructure from the ground up to solve the latency, reliability, and control challenges that have historically limited enterprise adoption of voice AI. Today, Bland powers more than 3.5 million calls per week across regulated industries and has raised over $100M to accelerate its mission of building the most secure enterprise platform for high-stakes customer interactions. Today, Bland's platform fully resolves up to 65% of inbound calls autonomously—handling not just FAQs, but multi-step workflows, authentication, business-rule-based routing, and live data lookups. For large contact center operators, every additional percentage point of autonomous resolution can translate to $500K–$1M+ in annual savings, making the ROI story unusually compelling. Bland's biggest technical differentiator is that it owns and operates the entire voice stack in-house—speech recognition, orchestration, and text-to-speech—rather than stitching together third-party APIs. This architectural approach gives enterprise customers greater reliability, security, governance, and c