Senior Manager, Partner Technology Architecture

Responsibilities: Lead and develop a team of Partner Technology Architects with clear goals and ongoing growth Manage day-to-day team operations, including resource scheduling, activity reporting, and expenses Serve as primary strategic interface for assigned partners and drive joint business planning Advise on practice growth, specialization, and AI-enabled offerings Develop forward-looking partner strategies with investment and go-to-market plans Coordinate across Sales, Services, Support, Marketing and internal teams for a unified partner experience Deliver technical discovery sessions, solution demonstrations, and executive briefings Oversee partner-led proofs of concept and co-demonstrations to prove value and differentiation Provide technical escalation support for critical partner opportunities Maintain workflow fluency across enterprise domains (CRM, IT, Security, Business Services) Champion AI-first solution design with intelligent workflows and automation Promote responsible, governance-aligned AI adoption

Key requirements: 10+ years in pre-sales solution consulting, partner strategy, or enterprise technology advisory with demonstrated discovery, demonstrations, and partner engagements 6+ years of leadership experience in pre-sales, professional services, or partner-aligned organizations Experience coaching and managing senior professionals with a team-first approach Proven experience working with partners, SIss, service providers, hyperscalers, or tech alliances Strong executive presence and ability to influence VP+/CXO-level stakeholders Ability to translate business strategy and industry context into actionable partner growth plans Solid understanding of enterprise platforms and at least one tech area (cloud, database, AppDev) Working knowledge of AI-enabled use cases, automation patterns, and data-driven workflows BA/BS in Computer Science or equivalent experience Ability to articulate complex concepts to technical and non-technical audiences executive presence cross-functional collaboration coaching and mentoring AI-enabled use cases automation patterns data-driven workflows