Responsibilities

• Own the end-to-end product marketing strategy for the Uniphore Platform, including its market definition, positioning, messaging, architecture narrative, portfolio cohesion, go-to-market strategy, launches and adoption.
• Define the market context and category position for the Uniphore Platform, establishing the enterprise problems we are uniquely built to solve and the architectural principles on which Uniphore will lead.
• Define how the platform’s capabilities across data, knowledge, models, agents and AI infrastructure come together as one differentiated architecture, rather than a collection of individual technologies.
• Develop the technical differentiation, positioning and point of views across our platform across data, knowledge, models, agents, and AI architecture.
• Develop first-principles narratives that explain the hard problems behind enterprise AI, where common approaches fall short, and the architectural choices enterprises should consider.
• Serve as an external spokesperson for Uniphore's technical point of view, engaging customers, partners, analysts and key market influencers on where enterprise AI is headed.
• Own flagship technical thought leadership, including point of view papers, white papers, research-backed POVs, benchmark reports, blogs, technical best practices and presentations that establish Uniphore's point of view on the future of enterprise AI.
• Partner with Product, Engineering and AI Research to turn technical innovation, architecture and research into authoritative market-facing content, POV, and guide development of technical external roadmaps.
• Work with technical teams to develop benchmarks, outcome-based ROI frameworks, and proof points that substantiate the platform's architectural differentiation.
• Build technical narratives and enablement that help sellers and solution teams confidently engage CIO, CTO, CAIO, CDO and enterprise architect audiences.

Requirements

• 10+ years of enterprise technology product marketing experience, including ownership of a complex AI, data, cloud infrastructure or platform portfolio. Experience in solutions engineering, product management or another deeply technical role is highly valued.
• Deep understanding of modern enterprise AI architecture, including how enterprise data and knowledge, models, agentic systems, inference, orchestration, evaluation, continuous learning and governance work together in production environments.
• A track record of owning the positioning and technical differentiation of a complex platform and translating its architecture into compelling narratives for CIOs, CDOs, CAIOs and enterprise architects.
• Ability to work as a senior marketing counterpart to Product, Engineering and AI Research, pressure-testing claims, uncovering meaningful differentiation and bringing market insight into product and roadmap decisions.
• Experience creating authoritative technical content, including architecture narratives, reference architectures, research-backed POVs, benchmarks, technical best practices and “how it works” materials.
• Hands-on ability to use AI and coding tools to explore the platform, validate technical concepts and turn findings into credible market-facing content and demonstrations.
• Exceptional written, verbal and visual communication skills, with the technical judgment and curiosity to quickly master unfamiliar technologies.

Benefits

• 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.