Senior Manager, Partner Technology Architecture

ServiceNow•Chicago, IL

14h•$202,500 - $334,100

About The Position

ServiceNow is seeking a Senior Manager, Partner Technology Architecture to lead a team of Partner Technology Architects serving Global and strategic partners. As a first-line people leader, this role builds and develops a high-performing team that supports partner growth through pre-sales technical excellence, solution strategy, business development, and AI-first technology adoption. The manager coaches the team, stays close to critical partner engagements, and is accountable for team outcomes. The role translates platform capabilities, AI innovation, and industry context into repeatable, outcome-driven offerings that partners can build, scale, and monetize. Travel for partner, customer, and organizational activities may be up to 30%. Strategic business development and co-innovation are part of the role, while pre-sales technical excellence is the primary operational foundation. This includes technical discovery, solution demonstrations, proof-of-concept leadership, and architectural validation that accelerate partner-led customer engagements. The role leads team priorities in alignment with partner and Global Partners & Alliances goals. It oversees people development, recruiting, operational management, and resource allocation; establishes partner strategies and business plans; and coordinates across internal teams to provide a unified partner experience. It also oversees technical discovery, demonstrations, proofs of concept, escalations, and AI-first solution design across enterprise workflows.

Requirements

10+ years of pre-sales solution consulting, partner strategy, or enterprise technology advisory experience, with a proven record of leading technical discovery, demonstrations, and partner engagements.
6+ years of leadership experience, preferably within pre-sales, professional services, or partner-aligned organizations, including building or leading pre-sales or partner practices.
Experience coaching, mentoring, and managing a team of senior-level professionals, using a structured, team-first approach to goals and objectives.
Proven experience working directly with partners, system integrators, service providers, hyperscalers, or technology alliances.
Strong executive presence and ability to influence VP+ and CXO-level partner stakeholders and collaborate across Enterprise Architects, Technical Architects, Offering Managers, and Directors.
Ability to connect business strategy, industry context, and technology into actionable partner growth plans, and to shape or scale partner practices, offerings, or go-to-market motions.
Solid understanding of enterprise platforms and workflow-based solutions, with deep familiarity in at least one technology area such as cloud, database, or AppDev.
Working knowledge of AI-enabled use cases, automation patterns, and data-driven workflows, and experience applying AI thoughtfully to processes, decision-making, and problem-solving.
BA/BS in Computer Science or a similar technical degree, or equivalent experience.
Ability to articulate complex concepts clearly to technical and non-technical audiences.

Nice To Haves

Experience with the ServiceNow platform and AI capabilities, including Now Assist and AI Agents, and ServiceNow certifications such as CSA, CIS, or architectural certifications.
Experience building or leading pre-sales or professional services organizations, particularly partner-aligned organizations.
Experience working with service advisory firms, service integrators, service providers, and outsourcers.
Background in management consulting, strategy advisory, or partner business development.
Experience across multiple partner routes to market, including C&I, MSP, Reseller, Hyperscaler, and Build.
Familiarity with competitive platforms and ability to articulate ServiceNow differentiation.

Responsibilities

Lead, coach, and develop Partner Technology Architects; establish goals and support individual professional growth in line with business needs.
Evaluate team members through direct observation, peer feedback, and sales feedback.
Build and maintain a recruiting pipeline and hire to meet future business demands.
Manage day-to-day team operations, including resource scheduling, activity reporting, and expense review and approval.
Assign resources to partner engagements, joint solution development, and demand generation across the assigned region.
Serve as the primary strategic interface for assigned partners, building trusted relationships with partner executives and practice leaders.
Lead joint business planning to align partner investments, industry focus, and go-to-market priorities across routes to market.
Advise partners on practice growth, specialization strategy, and readiness for AI-enabled offerings.
Develop forward-looking strategies and investment and go-to-market plans covering headcount, training, and tools.
Influence partner-sourced and partner-influenced pipeline through offer-led strategy and solution differentiation.
Drive cross-industry solution development and go-to-market strategies with partners.
Connect solution strategy to measurable outcomes, including efficiency, growth, ROI, and time-to-value.
Coordinate across Sales, Services, Support, Marketing, and internal specialist teams to deliver a unified partner experience.
Ensure the team delivers technical discovery sessions, executive briefings, and solution demonstrations that accelerate partner-led deal velocity, participating directly when needed.
Drive solution strategy that aligns partner offerings with high-value industry workflows and customer outcomes.
Oversee partner-led proofs of concept and co-demonstrations that establish business value, technical feasibility, and competitive differentiation.
Provide technical escalation support for critical partner-led opportunities at key deal milestones.
Maintain workflow fluency across enterprise domains, including CRM, IT, Security, and Business Services.
Champion AI-first solution design, including intelligent workflows, automation, and agent-based use cases.
Promote responsible, enterprise-ready AI adoption aligned with governance and trust standards.