It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
Design, build, and deliver scalable, AI-native enterprise applications for industry-specific workflows, data models, and compliance requirements, along with the integrations and channels that make them usable in production. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 10+ years of professional software engineering experience in the SaaS industry, building and operating products at production scale
- A demonstrated track record of building, shipping, and operating production software, including hands-on delivery of AI-native application features that real users depend on rather than demos
- Direct, hands-on experience authoring agentic instructions and prompts, designing AI-driven autonomous workflows, and building the evaluation and testing that verifies non-deterministic behavior
- Advanced command of data structures, algorithms, object-oriented design, design patterns, system design, APIs, and performance optimization
- AI-native application development: agent orchestration at the application layer, tool and function calling, context assembly, grounding against enterprise data, and handling latency, cost, and failure
- Demonstrated ability to lead technically complex projects across multiple teams as a technical owner or engineering leader, with strong communication, collaboration, and mentoring skills
More about this role
We are the Industry Vertical Engineering team at ServiceNow. We design and build specialized software solutions tailored to the unique workflows, data models, and regulatory compliance needs of specific sectors, with a particular focus on high-tech and adjacent regulated industries such as telecommunications, healthcare, financial services, and manufacturing, rather than relying on generic, one-size-fits-all solutions.
We are building the next generation of industry-specific enterprise applications, and increasingly these applications are AI-native: their core behavior is model-driven rather than explicitly authored. They interpret user intent, reason over context, invoke tools, and act on the user's behalf, all while respecting the complex business workflows, specialized data models, and evolving regulatory requirements of the industries we serve.
As a Senior Staff Software Engineer, you will design, build, ship, and operate AI-native industry applications whose most important logic often lives in natural language (instructions, prompts, tool descriptions, and guardrails) as much as in code. You will work across the full software development lifecycle, and often embedded directly...
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