Bland Enterprise Solutions Engineer at Bland responsible for technical discovery, demo execution, and POV scoping to support enterprise sales. Partner with sales, product, and engineering teams to win deals.
Responsibilities
As a Solutions Engineer at Bland, you’ll own the technical side of the sales process from discovery through Proof of Value. You’ll help customers understand where Bland can create ROI, how the platform fits into their existing systems, and what a successful deployment could look like.
You’ll be one of the first dedicated SEs at the company, meaning you’ll have the opportunity to shape the motion as it evolves – but the immediate need is execution: running strong discovery, building great demos, managing technical evaluations, and helping enterprise buyers feel confident choosing Bland.
Core Responsibilities
Technical Discovery & Qualification
Lead technical discovery with prospective customers to understand call center workflows, existing systems, integration requirements, operational pain, and AI readiness.
Identify where Bland can deliver the clearest ROI and where the platform is best positioned to win.
Qualify technical fit early so the team invests time in the right opportunities.
Surface Bland’s technical differentiators naturally in discovery, especially around reliability, latency, security, governance, and customization.
Work closely with AEs to define the technical win strategy for each opportunity.
Demo & Proof of Value Execution
Design and run demos that map directly to a customer’s workflows, not generic product walkthroughs.
Scope POVs around clear success criteria, timelines, milestones, and stakeholder expectations.
Qualification
Must-Have Experience4–8+ years of Solutions EngineeringTechnical enough to configure demosGenuine interest in AINice-to-Have Experience
Required
We’re looking for someone who can sit at the intersection of technical depth, customer presence, and commercial urgency. You should be comfortable going deep with technical buyers, configuring compelling demos, and working side-by-side with sales to move deals forward.
You do not need to be an LLM or voice AI expert today, but you should be highly curious, technically sharp, and excited to ramp quickly in one of the fastest-moving categories in AI.
Must-Have Experience
4–8+ years of Solutions Engineering, Sales Engineering, or technical pre-sales experience at a B2B SaaS company.
Experience running technical discovery and supporting enterprise sales cycles.
Has owned or meaningfully contributed to technical POVs, POCs, pilots, or evaluations.
Strong understanding of how to define POV success criteria, manage scope, and keep technical evaluations on track.
Technical enough to configure demos, understand APIs, work with prompts, reason through integrations, and engage credibly with customer engineering or IT teams.
Commercially strong enough to partner closely with AEs and understand how technical work ties back to deal progression.
Comfortable operating in ambiguity at an early-stage or high-growth company.
Genuine interest in AI, LLMs, voice automation, and enterprise workflow transformation.
