Vice President, Solutions Engineering

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.  Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.  As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.   

Job Description:

The VP of Solutions Engineering will own the technical pre-sales function globally—defining strategy, building the team, and setting the standard for how Uniphore’s platform is architected, demonstrated, and validated with enterprise customers. This is a builder role. You will inherit a team of 13 SEs across the US, Middle East, and APAC, with an immediate mandate to scale to 26+ while establishing consistency, technical rigor, and operational excellence across the organization.

This role requires a deeply technical leader—someone who can go architecture-level with enterprise CTOs and ML engineers, while also shaping GTM strategy with the CRO. You must be as credible in a whiteboard session on agentic AI infrastructure as you are in a boardroom.

This position is based in Palo Alto, CA. Regular in-office presence is required.

Technical Pre-Sales Leadership

• Own the global SE function end-to-end: strategy, hiring, enablement, and execution across pre-sales engineering and solution architecture.

• Build and enforce a consistent, repeatable SE motion—demo environments, POC frameworks, technical qualification criteria, and win/loss analysis.

• Serve as the senior technical authority in strategic customer engagements, including architecture reviews, security and sovereignty discussions, and executive briefings.

• Drive technical differentiation by articulating Uniphore’s platform advantages—zero-copy data architecture, composable model layer, agentic orchestration—against hyperscaler alternatives.

Platform Strategy & Product Influence

• Partner with Product and Engineering to translate field insights into roadmap priorities, ensuring the platform stays ahead of enterprise AI buyer requirements.

• Shape how Uniphore’s four-layer architecture (data, knowledge, models, agents) is positioned and validated across industry verticals.

• Develop scalable solution frameworks and reference architectures that accelerate sales cycles and reduce time-to-value for customers.

Team Building & Organizational Scale

• Scale the SE organization from 13 to 26+ globally, with a focus on technical depth, regional coverage, and specialist capability (AI infrastructure, data architecture, agentic workflows).

• Build a culture of technical excellence—invest in AI upskilling, create career development paths, and establish performance standards that attract and retain top technical talent.

• Partner with Sales leadership to define AE/SE ratios, coverage models, and engagement protocols that maximize revenue efficiency.

Executive Engagement & Market Presence

• Represent Uniphore at the CTO and VP Engineering level in enterprise accounts, establishing trusted advisor relationships with technical decision-makers.

• Participate in industry events, customer advisory boards, and thought leadership activities to reinforce Uniphore’s position as the enterprise AI platform leader.

• Support the CRO in executive-level deal strategy and customer escalations.

Required

• Deep, current technical expertise in AI infrastructure, foundation models, LLM/SLM deployment, RAG architectures, or agentic AI frameworks—gained through hands-on work or direct customer engagement at companies building or selling in this space.

• Proven track record building and scaling pre-sales Solutions Engineering organizations globally—from defining the function to managing large, multi-region teams at significant scale.

• Experience at an AI-native company, cloud data platform, or AI infrastructure company.

• Ability to operate credibly at both the engineering/architecture level and the C-suite business level—this is not a role for a polished presenter who can’t go deep.

• 15+ years in Solutions Engineering or pre-sales technical roles, with 8+ years in senior leadership.

• Bay Area-based or willing to relocate. Regular in-office presence at our Palo Alto HQ is required.

Strongly Preferred

• Hands-on experience with enterprise data sovereignty, zero-copy architectures, or regulated industry AI deployments.

• Experience leading SE organizations through a company’s platform transition (e.g., product to platform, legacy to AI-native).

• Pre-IPO company experience—understanding of what it takes to build scalable GTM infrastructure ahead of a public offering.

• International team leadership across AMER, EMEA, and APAC.

• SE organization scaled to 26+ with consistent standards, frameworks, and operational cadence in place within 12 months.

• Measurable reduction in sales cycle length through repeatable technical qualification and POC methodology.

• Uniphore’s platform is technically validated and architecturally credible with Fortune 500 CTOs and ML engineering teams.

• Revenue influenced by SE engagements grows in proportion to team scale.

• Team retention, engagement, and technical depth improve year-over-year.

• Ground-floor opportunity to build the SE function.

• Strategic backing from NVIDIA, Snowflake, and Databricks—the infrastructure companies shaping enterprise AI.

• A platform solving what hyperscalers cannot: production-grade agentic AI with full data sovereignty for regulated industries.

• Direct partnership with a CRO and CEO who are deeply technical and operator-led.

• The chance to define what enterprise AI pre-sales looks like—this function is being built, not inherited.

Hiring Range:

The specific rate will depend on the successful candidate's qualifications and prior experience.

In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement,  pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.

Location preference:

Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.