Enterprise Solutions Engineer
Bland AI is hiring an Enterprise Solutions Engineer for a remote role open to applicants in United States. Level rates it ; you can apply on Bland AI.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include Voice AI, APIs and AI agents.
- Level classifies it as a senior role.
- Level lists 16 other open roles at Bland AI.
AI in this role
Enterprise Solutions Engineer to lead technical pre-sales and architecture for voice AI agent platforms.
Enterprise Solutions Engineer
Reports To: 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
Core Product: Bland AI – Enterprise Voice AI Agent Platform
Business Model: Platform fee (tiered) + consumption-based per-minute pricing
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 customization, particularly in highly regulated industries.
Why This Role Matters
Bland is building a more structured pre-sales motion as enterprise demand grows. Today, pre-sales is supported by a founding sales engineer, founders, AEs, and forward-deployed engineers. As the market becomes more competitive, Bland needs Solutions Engineers who can help prospects understand not just what the product does, but why Bland is the right technical and business choice.
This is a hands-on IC role focused on technical discovery, demo execution, POV scoping, and technical evaluation. You’ll partner closely with AEs, FDEs, Product, and Engineering to help Bland win enterprise deals by proving value quickly and credibly.
This is not a traditional “demo-only” SE role. You’ll be expected to get deep into customer workflows, understand the technical and operational environment, scope POVs tightly, configure compelling demos, and keep evaluations moving with urgency.
Role Overview
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.
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.
Technical Credibility & Customer Presence
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.
Cross-Functional Partnership
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.
Ideal Candidate Profile / Role Requirements
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.
Nice-to-Have Experience
Background at a horizontal platform, developer infrastructure, API, automation, or workflow company.
Experience with voice AI, conversational AI, CPaaS, CCaaS, contact center technology, or customer support automation.
Experience selling into regulated or operationally complex industries such as healthcare, financial services, insurance, logistics, or enterprise support.
Has helped build or improve demo environments, POV frameworks, SE playbooks, or technical evaluation processes.
Startup experience where the pre-sales motion was still being defined.
What "Great" Looks Like in This Role
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.
Compensation & Benefits
Significant equity in a high-growth, well-funded AI company
SF-based with strong in-person culture
Full benefits package
Additional Information
Bland is an equal opportunity employer. We are committed to proving equal employment opportunities to all qualified applicants and employees and do not discriminate based on any legally protected characteristic.
Bland participates in the E-Verify employment verification program. All new hires are required to complete the Form I-9, and employment will be verified though E-Verify as part of the onboarding process.
How we rate this
Enterprise Solutions Engineer at Bland AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What have you built with speech recognition or text-to-speech, and where did it break?
- Tell me about a project where pre sales was part of your work. What did you do?
- Tell me about a project where solutions engineering was part of your work. What did you do?
- Tell me about a project where technical discovery was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Speech, Pre Sales, Solutions Engineering, and Technical Discovery. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new remote sales jobs (Works on AI ●●●○ or higher) by email
One email a week with the new remote sales jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Sales roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step