Job Description
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:
Uniphore a global Business AI technology company is seeking an experienced Senior Sales Engineer to join its high-performance Sales Engineering team to support its customer and strategic partners in Palo Alto. As a Senior Sales Engineer you will be a trusted technical advisor and strategic partner to our enterprise clients. You’ll collaborate closely with account executives product management and engineering to demonstrate the power of Uniphore’s Business AI Cloud platform - helping Fortune 1000 organizations design prototype and deploy intelligent AI systems that drive measurable business outcomes. You’ll lead the technical sales cycle from discovery to proof of concept translating complex enterprise challenges into transformative AI solutions that showcase Uniphore’s innovation scalability and value.
Team Charter and/or Mission: Our mission is to become trusted advisors to the clients and partners we work with while advocating Uniphore’s AI platform. The sales engineering organization bridges our cutting-edge AI technologies with customer business outcomes—designing showcasing and delivering solutions that accelerate adoption drive growth and ensure customer success across industries and geographies. We will keep our client’s interests in the forefront while solving unique business problems harnessing the power of Uniphore’s AI platform and pre-built solutions.
Key Responsibilities
Act as the technical lead in the sales cycle partnering with Account Executives to drive enterprise opportunities from qualification to close.
Have a perspective on how AI can drive value in Enterprises and understand the power of language models and agents to impact business value across verticals and business functions.
Understand customer pain points in driving and implementing AI solutions.
Deliver compelling technical presentations demos showcasing GenAI Agentic AI RAG and LLM-based solutions.
Build and deliver custom demos and POCs to validate business value and technical feasibility.
Conduct discovery sessions with key business and technical stakeholders to uncover needs pain points and desired outcomes.
Translate business requirements into AI solution architectures that leverage Uniphore’s capabilities collaborating with product and engineering teams.
Respond to RFPs/RFIs with detailed technical responses and solution designs.
Advise clients on AI adoption strategies integration with multi-modal data platforms and industry best practices.
Contribute to a culture of technical excellence customer obsession and innovation.
Build and maintain deep domain expertise in AI trends competitor offerings and the evolving landscape of agentic applications and enterprise AI adoption.
Skills and Qualifications
6+ years of experience in pre-sales solution engineering or technical consulting – preferably within enterprise SaaS AI or automation platforms.
Hands-on understanding of AI concepts: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) prompt engineering Agentic AI architectures AI security and governance and ethical AI
Experience designing or selling AI platforms data orchestration or enterprise automation solutions.
Expertise in major Cloud Platforms: Demonstrated understanding of cloud computing principles and architecture particularly as they relate to deploying and scaling enterprise AI/SaaS solutions (e.g. AWS Azure or GCP). This includes familiarity with core services like compute storage networking and serverless functions.
Solid Understanding of API Integration and Security: Practical experience with designing integrating and securing API connections between AI platforms and underlying business applications (e.g. CRM ERP data warehouses). Knowledge of protocols (e.g. REST GraphQL) and authentication mechanisms (e.g. OAuth 2.0 API keys) is essential.
Data and Network Architecture Acumen: Ability to discuss and propose solutions regarding data governance network segmentation and enterprise security requirements when deploying cloud-native or hybrid AI solutions.
Strong ability to explain technical concepts to both technical and non-technical stakeholders.
Proven track record supporting enterprise sales cycles and closing large deals.
Excellent communication presentation and stakeholder management skills with the ability to engage with all levels within large enterprises from C-suite to technician.
Strong problem-solving and storytelling skills—able to connect AI capabilities to strategic business outcomes.
Ability to travel as needed for client engagements.
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.
Top Skills
What We Do
The Uniphore Business AI Cloud spans agents models knowledge and data combining the simplicity of consumer AI with the rigor security and scalability the enterprise demands. Business users can harness AI effortlessly and deliver outcomes immediately while CIOs gain the foundation to build powerful AI applications embedded into workflows and trained on enterprise data.Built for the Enterprise backed by AI LeadersBacked by NVIDIA AMD Snowflake and Databricks Uniphore brings a unique combination of capital and strategic alignment — validating its position as the definitive Business AI leader. Recent acquisitions of ActionIQ Infoworks Orby AI and Autonom8 further cement Uniphore's AI talent depth and accelerate outcomes for clients.A Complete Composable PlatformUniphore is designed to be:Sovereign — run on any public cloud private cloud or on-premises with full control over your data and AI models.Composable — choose your layer model or component—vector DBs knowledge graphs data compute and beyond.Secure — embedded guardrails observability and AI security ensure trusted compliant and enterprise-grade protection.Trusted at ScaleOver 2000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth improve efficiency and deliver personalized customer experiences. Customers include leaders across industries like Skechers LastPass Atlassian HP Allstate Sony and more.Industry RecognitionNamed to Inc.'s Best in Business ListListed on the Deloitte Technology Fast 500Recognized in reports by Gartner Forrester and IDCFrom Pilot to ProductionThrough strategic collaborations with industry leaders like KPMG Cognizant Rackspace Databricks and Snowflake Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.
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Date Posted
04/10/2026
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