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Bland AI

Enterprise Solutions Engineer

RemoteUnited States only
Published
Role
Sales
Experience
Senior
Employment
Full-time
Company size
Startup
Salary not disclosed
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No BS summary

Enterprise Solutions Engineer with 4-8+ years of B2B SaaS pre-sales experience. Must understand technical discovery, POV scoping, and enterprise sales cycles. Needs to be technically adept for demos and integrations, and commercially strong to partner with AEs. Genuine interest in AI and voice automation required.

Core skills

Voice AIAI Agent Platform

Required skills

APIspromptsintegrations

Optional skills

horizontal platformdeveloper infrastructureAPIautomationworkflow companyconversational AICPaaSCCaaS

What you'll do

  • 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.
  • 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.
  • Configure custom voice agent demos and technical proof points that show how Bland handles real-world complexity.
  • Keep POVs focused and commercially relevant, avoiding unnecessary scope creep or “science projects.”
  • Partner with FDEs and Engineering when deeper technical resources are needed, while protecting their time and keeping the sales process efficient.
  • Drive urgency throughout the evaluation process by clearly defining next steps, owners, and decision points.
  • Act as a credible technical voice in front of technical buyers, operators, InfoSec teams, procurement, and executive stakeholders.
  • Explain Bland’s architecture, in-house voice stack, integration approach, and data/security posture in a clear and commercially relevant way.
  • Support prospects through RFIs, security questionnaires, technical due diligence, and enterprise procurement processes.
  • Build trust with skeptical buyers by being direct, knowledgeable, and honest about both Bland’s strengths and current limitations.
  • Help customers understand what is possible today, what requires additional configuration, and what is not the right fit.
  • Partner closely with AEs on discovery, win plans, POV strategy, and deal execution.
  • Collaborate with FDEs on handoff, resource planning, technical feasibility, and implementation readiness.
  • Feed product gaps, competitive learnings, customer feedback, and recurring technical objections back to Product and Engineering.
  • Contribute to demo assets, POV templates, technical documentation, and repeatable pre-sales materials as the motion matures.
  • Help define what “great” looks like for Solutions Engineering at Bland as the team scales.

What they require

  • 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.
  • 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.
  • You quickly understand a customer's business, technical environment, and call center workflows, identifying where Bland can drive measurable ROI.
  • You can articulate why Bland's self-hosted voice infrastructure matters and confidently engage with architects, engineering leaders, security teams, and other highly technical stakeholders.
  • You intuitively understand both business and technical requirements, identify the fastest path to value, and clearly communicate that plan to the customer.
  • You build demos that feel tailored to the customer's business—not like a canned product tour.
  • You scope POVs that are achievable, commercially focused, and tied to clear success criteria, timelines, and buying milestones.
  • You understand how enterprise customers buy software and tailor technical evaluations to the priorities of executives, operators, engineering, procurement, and InfoSec stakeholders.
  • You know how to control technical evaluations so they don't drift, stall, or balloon in scope.
  • You are credible with technical buyers while remaining commercially oriented, partnering closely with AEs to drive the technical win.
  • You are direct and honest with customers, especially when discussing tradeoffs, security, implementation complexity, and product limitations.
  • You move with urgency and are never the bottleneck.
  • Every POV you run makes the next one stronger by documenting learnings, improving the process, and raising the bar for the team.

Benefits

  • Significant equity in a high-growth, well-funded AI company
  • SF-based with strong in-person culture
  • Full benefits package

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 customization, particularly in highly regulated industries.

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