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Enterprise Solutions Engineer
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Bland AI·San Francisco or Remote·6 авг.

Enterprise Solutions Engineer

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Наша компания

Enterprise Solutions Engineer Reports To: Taylor Hyde – VP, Sales

О роли

Location(s): San Francisco preferred (3–5 days in office); open to remote Title: Enterprise Solutions Engineer

Чем предстоит заниматься

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

Наши требования

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
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
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

Мы предлагаем

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

Дополнительно

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
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
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
B
Bland AI
San Francisco or Remote

ГрейдMiddle
ЗанятостьПолная занятость
РегионНе Россия
ФорматУдалённо
ИсточникСкрыто
Опубликовано6 авг.
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