About the company
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together.
The team
The Analytics Intelligence Team is responsible for ServiceNow's Conversational Analytics experience, allowing customers to ask questions about their data in plain language and receive highly accurate analytics. Initial products include AI Data Explorer and Query Generation. The immediate future involves making these products fully agentic, considering a centralized semantic layer, knowledge graph, data catalog, and universal context engine.
Responsibilities
- Build the best cloud-based AI/ML solutions to power intelligent enterprise services.
- Collaborate daily with a team of like-minded developers, product managers to produce quality software.
- Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users.
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.
- 12+ years building and shipping large-scale, production software systems.
- Proficiency in Java, Python, JavaScript, SQL.
- AI Native development experience, utilizing coding tools such as Claude Code.
- Experience with vector-based retrieval, agentic/tool architectures, universal context engines, data catalogs, knowledge graphs, semantic layers.
- Strong focus with customer success metrics, specifically accuracy and associated evaluation frameworks and datasets.
- Proven ability to coach other engineers, with the viewpoint of winning and growing as a team.
- Exceptional written and verbal communication skills; able to flex between deep technical detail and executive-level framing.
- Experience with BI/Analytics Platforms and NLQ.
- An understanding of the ServiceNow ecosystem, and how it is intentionally different from other tech stacks.