Senior Staff AI Native Software Engineer

ServiceNow•San Diego, CA
•$181,200 - $317,100

About The Position

The Analytics Intelligence Team develops ServiceNow’s Conversational Analytics experience, enabling customers to ask questions about their data in plain language and receive accurate analytics. Current products include AI Data Explorer and Query Generation, with plans to make them fully agentic and incorporate a centralized semantic layer, knowledge graph, data catalog, and universal context engine. The Senior Staff AI Native Software Engineer will collaborate with architects and engineers to shape the technical direction of conversational analytics. The role combines deep architectural work with clear communication across engineering, product, and leadership, including aligning competing perspectives. The engineer will be hands-on, customer-focused, and able to rapidly build technical prototypes that demonstrate value. They will also coach software engineers at all levels. The role involves building cloud-based AI/ML solutions for intelligent enterprise services; collaborating with developers, product managers, and quality engineers; and working with product owners to understand requirements and own software from design through implementation, testing, and delivery.

Requirements

  • At least 8 years of experience building and shipping large-scale production software systems.
  • Proficiency in Java, Python, JavaScript, and SQL.
  • AI-native development experience using coding tools such as Claude Code.
  • Experience with vector-based retrieval, agentic/tool architectures, universal context engines, data catalogs, knowledge graphs, and semantic layers.
  • Strong focus on customer success metrics, particularly accuracy, and associated evaluation frameworks and datasets.
  • Proven ability to coach other engineers and a team-oriented approach to winning and growing together.
  • Exceptional written and verbal communication skills, with the ability to move between deep technical detail and executive-level framing.
  • Experience with BI/Analytics platforms and natural-language query (NLQ).
  • Understanding of the ServiceNow ecosystem and how it differs from other technology stacks.

Responsibilities

  • Help drive the technical direction for conversational analytics in collaboration with architects and engineers.
  • Build cloud-based AI/ML solutions to power intelligent enterprise services.
  • Collaborate with developers, product managers, and quality engineers to produce quality software.
  • Work with product owners to understand detailed requirements.
  • Own code from design and implementation through testing and delivery of high-quality solutions.
  • Create technical prototypes to demonstrate value.
  • Coach software engineers at all levels.
  • Communicate technical topics across engineering, product, and leadership, and help align competing opinions.

Benefits

  • Health plans
  • Flexible spending accounts
  • 401(k) plan with company match
  • Employee stock purchase plan (ESPP)
  • Matching donations
  • Flexible time away plan
  • Family leave programs
  • Equity when applicable
  • Variable/incentive compensation
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