Technology Consultant

ServiceNow • Atlanta, GA

22h • Remote

About The Position

What you get to do in this role:
ServiceNow is seeking a Partner Technical Advisor forTechnology Partners to serve as the primary strategic and technical interface across our Technology Partner ecosystem, spanning three distinct partner types: Technology Partners and Builders (ISVs), Strategic Technology Partnerships, and Hyperscalers. This role sits at the intersection of partner technical enablement, joint solution development, platform co-innovation, and pre-sales excellence.
You will work across the full spectrum of technology partnerships — from guiding ISVs building differentiated applications on the Now Platform, to driving joint reference architectures and integration strategies with strategic technology partners as well as cloud providers.
This role requires the versatility to adapt engagement models across partner types: deep platform architecture and Store certification expertise for ISVs, integration strategy and joint solution positioning for strategic tech partnerships, and cloud infrastructure alignment and marketplace orchestration for hyperscalers. Across all three, the common thread is translating ServiceNow’s AI platform capabilities into differentiated, commercially viable partner solutions that drive customer outcomes.
What You’ll Do
As a Partner Technical Advisor — Technology Partners, you will own the technical advisory relationship across assigned technology partners — from initial engagement and architecture through co-innovation, validation, and scaled commercialization. You will tailor your approach to three distinct partnership models:
Strategic Technology Partnerships
Architect, validate, and co-develop joint integration patterns, reference architectures, and solution blueprints with strategic technology partners — covering bidirectional data flows, workflow orchestration, and AI interoperability across enterprise use cases.
Lead technical discovery, joint solutioning, and roadmap alignment sessions with partner engineering and product teams to identify integration opportunities, whitespace, and coinnovation potential.
Support joint GTM motions through technical validation, competitive positioning, and solution demonstrations that showcase integrated capabilities to end customers.
Hyperscaler Partnerships
Develop cloud-native reference architectures, deployment patterns, and technical guidance (AI separation, Workflow Data Fabric, cost controls, data residency/security) for hyperscaler-hosted deployments across AWS, Google Cloud, and Azure.
Position and enable ServiceNow's AI platform as complementary to hyperscaler AI services (Bedrock, Azure OpenAI, Vertex AI) through joint workshops, innovation labs, and partner education.
Support marketplace listing strategies and co-sell programs to ensure effective positioning of ServiceNow solutions within hyperscaler ecosystems.
Cross-Partner Responsibilities
Enable partners to embed and leverage AI capabilities (AI Agents, workflows, intelligent automation) while ensuring understanding of AI governance, responsible AI practices, and compliance requirements.
Represent partner needs to product and engineering teams, and track innovation trends and competitive landscape to influence roadmap priorities and Technology Partner program evolution

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 in technical sales, pre-sales and solution architecture, or technical consulting with enterprise software platforms.
• Proven experience working across technology partner ecosystems including ISVs, strategic technology partnerships, and/or cloud infrastructure providers.
• Strong understanding of SaaS application architecture including scoped applications, multi-tenancy, API design, platform extensibility, and integration patterns.
• Experience designing and validating integration architectures between enterprise platforms, including API-based integrations, event-driven patterns, and data synchronization strategies.
• Working knowledge of cloud infrastructure platforms (AWS, Azure, GCP) and how enterprise SaaS platforms operate within cloud-native ecosystems.
• Experience guiding partners through complex solution designs, certification processes, and commercialization across marketplace and direct distribution models.
• Working knowledge of AI/ML concepts and the ability to guide partners on embedding AI capabilities into platform-native and integrated solutions.
• Excellent communication skills with executive presence; ability to engage with CxO-level audiences at both partner organizations and end customers.
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.

Responsibilities

• Architect, validate, and co-develop joint integration patterns, reference architectures, and solution blueprints with strategic technology partners — covering bidirectional data flows, workflow orchestration, and AI interoperability across enterprise use cases.
• Lead technical discovery, joint solutioning, and roadmap alignment sessions with partner engineering and product teams to identify integration opportunities, whitespace, and coinnovation potential.
• Support joint GTM motions through technical validation, competitive positioning, and solution demonstrations that showcase integrated capabilities to end customers.
• Develop cloud-native reference architectures, deployment patterns, and technical guidance (AI separation, Workflow Data Fabric, cost controls, data residency/security) for hyperscaler-hosted deployments across AWS, Google Cloud, and Azure.
• Position and enable ServiceNow's AI platform as complementary to hyperscaler AI services (Bedrock, Azure OpenAI, Vertex AI) through joint workshops, innovation labs, and partner education.
• Support marketplace listing strategies and co-sell programs to ensure effective positioning of ServiceNow solutions within hyperscaler ecosystems.
• Enable partners to embed and leverage AI capabilities (AI Agents, workflows, intelligent automation) while ensuring understanding of AI governance, responsible AI practices, and compliance requirements.
• Represent partner needs to product and engineering teams, and track innovation trends and competitive landscape to influence roadmap priorities and Technology Partner program evolution

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed