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ServiceNow is seeking an experienced technical presales professional to join as an Advisory Solution Consultant focused on the Workflow Data Fabric and RaptorDB platforms. This role is critical to shaping and delivering innovative, scalable data platform solutions for enterprise customers.
You will serve as a key technical advisor and advocate for ServiceNow's data capabilities, working across the full presales lifecycle. Your responsibilities include:
- Data Solution Evangelism: Articulate the benefits and capabilities of Workflow Data Fabric and RaptorDB to business and technical stakeholders, positioning them as solutions to complex data challenges.
- Database Architecture Advisory: Act as a trusted advisor on architecting, scaling, and operating transactional and analytical workloads on RaptorDB. Provide guidance on distributed, multi-region, HA architectures, performance tuning, and data compliance best practices.
- Customer Engagement: Lead technical discovery sessions to identify customer needs, data integration challenges, and architectural gaps. Design innovative ServiceNow-based solutions aligned to business outcomes.
- Proof-of-Concept Development: Build and deliver custom PoCs and proof-of-value solutions that demonstrate technical strengths and business impact.
- Competitive Positioning: Provide insights into the competitive data platform landscape, articulating trade-offs and positioning RaptorDB against alternatives like MongoDB Atlas, Snowflake, Databricks, BigQuery, and others.
- Solution Storytelling: Communicate complex technical solutions clearly to both technical and executive audiences, aligning technical value to business priorities.
- Internal Enablement: Collaborate with product and field enablement teams to share customer insights, influence roadmap, and contribute to reusable assets.
- Sales Support: Actively support the presales lifecycle from qualification to close, including sizing, solution validation, and architecture workshops.
REQUIREMENTS:
- 5+ years in technical presales, solution engineering, or architecture roles with enterprise data platforms, cloud databases, or infrastructure technologies
- Deep understanding of distributed database concepts, transactional/analytical processing, replication, sharding, and storage optimization
- Strong technical background in data engineering with focus on data platforms, databases, or infrastructure technologies; enterprise software experience required
- Hands-on experience with data ingestion, ETL pipelines, real-time streaming platforms, and integration technologies (REST, JDBC, Kafka, etc.)
- Strong coding/scripting ability in SQL, Python, or similar languages to prototype solutions and communicate technical designs
- Prior exposure to data modeling, query optimization, performance benchmarking, and capacity planning
- Experience with low-code/no-code application development platforms; ServiceNow platform certifications (CSA, CAD) preferred
- Familiarity with competitive platforms like MongoDB Atlas, Snowflake, Databricks, BigQuery, Google Spanner, DynamoDB, or Cloudera is a strong plus
- Strong stakeholder management skills across technical and business audiences; ability to work consultatively with customers and partners
- Excellent verbal, written, and presentation skills with a storytelling mindset
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
