Latest AI JobsBrowse Jobs
Bland AI logo

Enterprise Solutions Engineer

Bland AISan Francisco or RemoteSales
Apply on company site
Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
6 Aug 2026
Status
Open · checked 7d ago

About this role

The Enterprise Solutions Engineer position at Bland is a hands-on individual contributor role based in San Francisco or available remotely, focusing on pre-sales and technical discovery. This opportunity suits an experienced technical professional who can bridge complex enterprise workflows and commercial deal execution at a fast-growing voice AI platform.

Role Overview

As a Solutions Engineer at Bland, the incumbent owns the technical side of the sales process from initial discovery through Proof of Value. This role helps enterprise prospects understand where the platform creates return on investment, how it integrates into existing systems, and what a successful deployment looks like. Operating as one of the early dedicated solutions engineers, this person helps shape the pre-sales motion while running discovery, building tailored demos, and managing technical evaluations with urgency.

Key Responsibilities

Lead technical discovery sessions with prospective customers to evaluate call center workflows, operational pain points, and integration requirements.
Design and execute customized product demonstrations and technical proof points mapped directly to customer business needs.
Scope Proof of Value projects around clear success criteria, timelines, and commercial milestones without scope creep.
Engage credibly with technical buyers, information security teams, procurement, and executive stakeholders to explain platform architecture and security posture.
Collaborate closely with Account Executives, forward-deployed engineers, product teams, and engineering to drive the technical win.
Support prospects through security questionnaires, RFIs, and technical due diligence processes.

Requirements

Possesses four to eight or more years of sales engineering, solutions engineering, or technical pre-sales experience at a business-to-business software company.
Demonstrated history of running technical discovery and supporting complex enterprise sales cycles.
Experience owning or contributing significantly to technical proofs of concept, pilots, or evaluations.
Technical capability to configure demos, understand application programming interfaces, work with prompts, and engage with customer engineering teams.
Commercial acumen to partner effectively with sales teams and connect technical work directly to deal progression.
Comfort operating within ambiguity at an early-stage or fast-growing enterprise.
Genuine curiosity and interest in artificial intelligence, large language models, voice automation, and workflow transformation.

Nice to Have

Background working at a developer infrastructure, API, horizontal platform, automation, or workflow organization.
Prior exposure to voice artificial intelligence, conversational tools, contact center technology, or customer support automation.
Experience selling into operationally complex or heavily regulated industries like financial services, healthcare, insurance, or logistics.
History of helping construct demo environments, proof of value frameworks, or sales engineering playbooks.
Previous startup experience helping define an evolving pre-sales motion.

Skills and Tools

LLM
API integration and prompt handling
Enterprise technical discovery and sales enablement
Proof of value and pilot scoping
Customer-facing technical presentations

Salary and Benefits

Significant equity ownership in a well-funded, high-growth artificial intelligence company
Strong in-person office culture for San Francisco participants
Full employee benefits package

About the Company

Bland provides an enterprise voice artificial intelligence platform designed for organizations managing high-volume, complex customer conversations. Founded in San Francisco by Sobhan Nejad and Isaiah Granet, the company built its voice models and infrastructure from the ground up to address reliability, security, and latency challenges. Backed by over $100 million in total funding, including a Series C round led by Dell Technologies Capital, Bland powers millions of calls every week across regulated industries and resolves complex inbound customer workflows autonomously.

How to Apply

Interested candidates should visit the official Bland careers page to submit an application and learn more about open opportunities.

Skills and tech stack

Questions candidates ask

Where is the Enterprise Solutions Engineer role located?

The role is based in San Francisco, preferred with three to five days in the office, or open to remote applicants.

What level of experience is required for this position?

Candidates should have four to eight or more years of sales engineering, solutions engineering, or technical pre-sales experience at a business-to-business software company.

What are the primary responsibilities of the Solutions Engineer?

Responsibilities include leading technical discovery, designing customized product demos, scoping proofs of value, engaging with technical and executive buyers, and partnering with account executives to drive deal success.

Do I need prior experience with voice AI or LLMs to apply?

Deep prior expertise in voice AI or LLMs is not strictly required, but candidates must possess a genuine interest in AI, LLMs, voice automation, and enterprise workflow transformation.

What type of benefits and compensation are provided?

The position includes significant equity in a well-funded AI company, a full benefits package, and opportunities associated with a high-growth startup environment.

Ready to apply?

The application is on the official Bland AI careers page.

Apply on company site