Enterprise Solutions Engineer
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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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- Skills and tools
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Job details
- Where you can work
- Location not stated
- Employment type
- Full-time
- Advertised pay
- Not stated by the employer
- Experience
- Experience not stated
- Employer publication date
- 6 August 2026
- First recorded by Psst
- 12 October 2026
- Last checked at the source
- 10 November 2026
About the job
Enterprise Solutions Engineer
Reports To: Taylor Hyde [link for members] – 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: the company 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 the company AI
The company 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, the company 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, the company 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, the company'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.
The company'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
The company 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, the company needs Solutions Engineers who can help prospects understand not just what the product does, but why the company 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 the company 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 the company, you’ll own the technical side of the sales process from discovery through Proof of Value. You’ll help customers understand where the company 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 the company.
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 the company 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 the company’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 the company 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 the company’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 the company’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 the company 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 the company can drive measurable ROI.
- You can articulate why the company'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
The company 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.
The company 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.
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