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ServiceNow is seeking a Senior Data Solution Architect to join its pre-sales team of data and AI specialists. In this role, you will partner with enterprise customers to co-create solutions and expand ServiceNow's presence across data platforms, Intelligent Automation, and Generative AI. You will shape and showcase the technical vision for ServiceNow's emerging data capabilities, including RaptorDB and Workflow Data Fabric, focusing on distributed databases, data integration, advanced analytics, and the broader ServiceNow AI ecosystem including Now Assist and Agentic AI.
Key responsibilities include:
- Serve as a technical advisor and evangelist for ServiceNow's RaptorDB, Workflow Data Fabric, and AI products, explaining integrated data and AI solutions to business and technical stakeholders.
- Act as a trusted advisor to customers on architecting, scaling, and operating transactional and analytical workloads on RaptorDB, providing guidance on distributed, multi-region, and high-availability architectures, performance tuning, and data compliance.
- Lead technical discovery sessions to identify customer needs, data integration challenges, and architectural gaps; design solutions that address business and technical problems while accounting for regulations, business drivers, and security.
- Align opportunity engagement and skills with ServiceNow's strategic and enterprise accounts.
- Deliver standard and tailored demonstrations of ServiceNow's data and AI solutions to prospects and customers, both on-site and virtually.
- Scope, build, and deliver proof-of-concept and proof-of-value engagements demonstrating the technical strengths and business impact of ServiceNow's data and AI capabilities.
- Provide insight into the competitive data platform landscape, explaining trade-offs and positioning RaptorDB against alternatives.
- Communicate complex technical solutions clearly to technical and executive audiences, aligning technical value to business priorities.
- Partner with the sales team across the full presales lifecycle, from qualification to close, including sizing, solution validation, and architecture workshops.
- Speak at marketing events such as user conferences, trade shows, and webinars.
- Collaborate with sales, marketing, product, and field enablement teams to build sales assets, share customer insights, influence the roadmap, and run enablement sessions.
- Stay current on data and AI advancements to ensure solutions remain cutting-edge and competitive; foster a culture of innovation and knowledge sharing.
This role requires up to 50% travel to support technical sales activities.
REQUIREMENTS:
- 10+ years in technical presales, consulting, solution engineering, or architecture roles with direct customer engagement; enterprise software experience is mandatory.
- Deep understanding of distributed database concepts, transactional and analytical processing, replication, sharding, and storage optimization.
- Hands-on experience with data ingestion, ETL pipelines, real-time streaming platforms, and integration technologies (REST, JDBC, Kafka, etc.); experience with large relational and NoSQL data stores and techniques to make data consumable by AI models.
- 3+ years of technical experience selling AI models, deep learning models, and Large Language Models, with a focus on Generative AI.
- Strong coding and scripting ability in SQL, Python, or similar languages to prototype solutions; experience with data modeling, query optimization, performance benchmarking, and capacity planning.
- Development experience on cloud-based AI platforms; knowledge of NVIDIA LLMs and Microsoft Azure is highly valued.
- Experience with low-code/no-code application development platforms.
- ServiceNow certifications (CSA, CAD) are strongly preferred; certification in a major AI platform (e.g., Microsoft Azure OpenAI) and LLMOps experience are valued.
- Experience with ServiceNow's Predictive/Task Intelligence, AI Search, and Virtual Agent is highly valued.
- Excellent verbal, written, and presentation skills with a storytelling mindset that translates complex data and AI concepts into clear business value for technical and non-technical audiences; ability to work consultatively with customers and partners.
- Ability to see the bigger picture and understand business drivers behind data, AI, and automation technologies.
- Ability to travel up to 50% of the work week.
ADDITIONAL RELEVANT EXPERIENCE:
- Familiarity with platforms such as MongoDB Atlas, Snowflake, BigQuery, Google Spanner, DynamoDB, or Cloudera.
- Experience in a fast-growing technology company, including software, cloud, or customer experience.
- Experience in Value-Based Selling or Solution Selling.
- Understanding of the sales process and ability to act as a trusted advisor to Specialist Sales, account management, and the extended sales organization.
