Partner Technology Strategist

ServiceNow•Addison, TX

5h•$131,000 - $217,000•Remote

About The Position

ServiceNow is seeking a Partner Technical Advisor — AI to drive AI-enabled partner growth through deep, AI/ML architecture expertise, strategic business development, and ecosystem-wide thought leadership. This is a senior technical strategist role focused on helping partners build differentiated AI-powered solutions on the ServiceNow platform — from agent architecture and model selection through RAG design, multimodal AI, and AI-first solution commercialization. Your expertise extends beyond ServiceNow capabilities to encompass the full AI ecosystem — foundation models, open-source frameworks, competing platforms — enabling you to guide partners on hybrid architectures and multi-vendor AI strategies that position ServiceNow as the enterprise AI platform of choice.

Requirements

Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
8+ years pre-sales, solution architecture, or technical consulting experience with proven success leading technical discovery, POCs, and partner workshops.
5+ years hands-on experience with AI/ML architecture, model development, and deployment; deep expertise in foundation models, agent frameworks, and RAG architectures.
Expert-level knowledge of enterprise platform architecture and AI capabilities; experience with cloud infrastructure (AWS, Azure, GCP).
Demonstrated understanding of the broader AI ecosystem beyond any single platform, including major AI providers and open-source frameworks.
Deep expertise in AI adoption patterns for at least two industry verticals (e.g., Financial Services, Healthcare, Manufacturing, Public Sector).
Proven experience engaging with CAIO/CDO/CTO-level technical executives and articulating complex AI concepts to diverse audiences.
Experience working with partner ecosystems (GSIs, SIs, ISVs) and understanding partner business models and co-selling dynamics.
Track record of external thought leadership including conference presentations, published content, or industry recognition.
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.

Nice To Haves

Experience with ServiceNow platform and Now Assist AI capabilities, AI Agents, and AI Agent Fabric.
Experience with agentic AI implementations, multi-agent systems, or autonomous workflow design.
Background in strategy consulting, product management, or technical advisory roles.
Experience in Federal government or regulated industries.
Hands-on experience with prompt engineering, fine-tuning, or model evaluation frameworks.

Responsibilities

AI Architecture & Solution Co-Creation: Provide expertise across agentic AI architectures, multi-agent orchestration, RAG, and multimodal AI; build reusable co-innovation assets including solution templates, vertical blueprints etc; and influence AI product roadmap via structured feedback loops with product teams.
Pipeline & Revenue Growth: Lead AI technical workshops and executive engagements with CAIO/CDO/CTO & co-design solution architectures; execute strategic proofs of concept(s), deliver tailored demonstrations of Now Assist and AI Agents, remove technical blockers at critical deal milestones.
Partner AI Capability Building: Design and deliver AI architecture training, workshops, and executive briefings that build partner capability; mentor partner architects on AI engineering, prompt design, and agent development; assess and mature partner AI competencies; and represent ServiceNow's AI innovation at industry events and thought leadership forums.
Business Growth & Value Realization: Collaborate with Partner Technical Advisors on AI-focused joint business planning, guide partners from concept to commercialization while connecting AI architecture to measurable business outcomes—efficiency gains, revenue impact, and ROI—with clear monetization pathways and value narratives.
AI Ecosystem Intelligence: Maintain expert-level knowledge of the broader AI ecosystem—OpenAI, Google, Microsoft, AWS, Anthropic, and open-source frameworks; foundational to intermediate data & analytics knowledge; foundational knowledge to ensure responsible AI design with governance and safety guardrails