Bland
Enterprise Solutions Engineer
About this role
Bland AI seeks an Enterprise Solutions Engineer to lead technical discovery and demo execution for its enterprise voice AI platform. You'll partner with sales and engineering to help large customers understand Bland's technical advantages and scope proofs of value that drive deal closure.
What you'll do
- Conduct technical discovery with prospects to map call center workflows, integration needs, and AI readiness
- Build and execute compelling product demonstrations tailored to customer pain points and use cases
- Scope and manage proofs of value to validate ROI and accelerate deal progression
- Qualify technical fit early and develop win strategies aligned with account executives
- Collaborate with product and engineering teams to surface customer feedback and inform roadmap priorities
- Own the technical evaluation process and serve as the trusted technical advisor through buying cycles
What they're looking for
- Technical discovery and requirements gathering
- Sales engineering and demo delivery
- Call center or contact center operations knowledge
- Enterprise software integration and architecture
- Voice AI or conversational AI familiarity
- Cross-functional collaboration with product and sales teams
- Complex deal navigation and urgency management
- APIs and workflow automation concepts
Benefits
- Opportunity to shape pre-sales motion at a high-growth Series C company
- Work with cutting-edge voice AI technology serving 250+ enterprise customers
- San Francisco office preferred with remote flexibility
- Individual contributor role with direct impact on enterprise sales
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Bland
Bland builds AI voice agents for enterprise customers, handling millions of daily calls through custom deployments and proprietary audio and language technologies. The company is hiring Forward Deployed Engineers to work directly with clients on production solutions, and ML researchers to advance multimodal LLMs and audio technologies for real-time conversational AI.
View all jobs at BlandLikely interview questions
- Walk us through your experience conducting technical discovery in enterprise sales cycles—how do you uncover technical fit and ROI drivers?
- Tell us about a complex deal you helped close. What technical challenges did the customer face and how did you help them evaluate your solution?