Top Tech Jobs & Startup Jobs

Generate new SaaS business revenue through account and territory planning, prospect research, business development, and field sales. Build C-suite relationships, lead account strategies across virtual teams, advise manufacturing customers on IT roadmaps, coordinate specialist resources, negotiate deals, and exceed sales targets. The role requires enterprise software sales experience, managing large accounts, manufacturing wins, AI application awareness, and travel up to 50%.

Own the strategy, roadmap, requirements, metrics, and lifecycle of ServiceNow SOM products focused on Quote to Cash. Collaborate with engineering, UX, QA, sales, finance, marketing, and operations to deliver AI-enabled solutions, support go-to-market launches, address product issues, and improve customer outcomes. The role requires deep knowledge of sales systems, CPQ, order management, CRM integrations, ServiceNow, and enterprise software product management.

Build scalable, reusable software using sound engineering practices, AI tools, code reviews, unit testing, and test automation. Own features from design through delivery, collaborate with product owners, design extensible customer functionality, and enhance existing products. The role requires Java or similar object-oriented programming, JavaScript, Lit.js, web platform knowledge, data structures, algorithms, design patterns, performance considerations, and development tools.

Leads the architecture and production delivery of a novel AI-powered exploitability analysis engine. Owns probabilistic ranking, graph modeling, entity resolution, calibration, validation, and security guardrails for agentic systems. Drives zero-to-one development, technical direction, architecture and code reviews, cross-functional partnerships, and mentorship. Requires deep expertise in production AI/ML, LLMs, distributed systems, cloud-native development, probabilistic modeling, and scalable architectures, with strong security experience preferred.

Leads the technical vision and architecture for AI-powered exploitability analysis in cybersecurity. Defines advanced modeling approaches, enterprise-scale engineering standards, AI safety and governance practices, and portfolio-wide architecture. Guides multiple teams without direct authority, mentors senior engineers, represents technology to executives and customers, and delivers production AI/ML products using LLMs, agents, retrieval, probabilistic scoring, and graph technologies.

Own the architecture and production delivery of a novel AI-powered exploitability engine. Lead probabilistic ranking, graph modeling, entity resolution, calibration, validation, and security guardrails for agentic systems. Drive zero-to-one technical direction, architecture, code reviews, cross-functional partnerships, and mentorship. Build scalable systems using distributed technologies, cloud-native development, APIs, databases, and machine learning while establishing defensible engineering decisions and evaluation metrics.

Own and deliver a major subsystem of ServiceNow’s exploitability analysis engine, such as probabilistic scoring, exposure graphs, entity resolution, or calibration. Lead architecture, design and code reviews, production delivery, metrics, AI safety guardrails, and technical direction. Partner with product, security R&D, and SecOps while mentoring engineers and guiding ambiguous AI/ML problems to scalable, reliable production systems.

Leads ServiceNow’s Data and Storage Reliability Engineering organization, managing globally distributed teams and driving reliability, observability, performance, scalability, resilience, diagnostics, automation, and prevention engineering. Establishes operating models, governance, metrics, and review processes; translates production telemetry, incidents, migrations, and customer escalations into strategic engineering investments. Partners with product, infrastructure, database, storage, operations, and support teams to influence architecture, prioritize reliability roadmaps, reduce systemic risk, and improve customer outcomes.

Creates technical documentation, tutorials, learning paths, implementation guidance, and best practices for ServiceNow platform development experiences. Partners with product managers, engineers, designers, and developer experience teams to translate complex technical concepts into actionable content for developers, administrators, and solution builders. Builds prototypes, explores web technologies, identifies content gaps, maintains DITA-based documentation, improves content processes, and contributes to content strategy and customer enablement.

Leads enterprise-scale cloud architecture across private, sovereign, and public cloud environments. Evaluates emerging cloud, hardware, and software technologies; drives hardware enhancements; benchmarks systems; resolves complex infrastructure issues; and coordinates root-cause analysis across databases, operating systems, networking, and hardware. Requires deep expertise in cloud platforms, Linux and database performance, datacenter technologies, Kubernetes, cost optimization, and cross-functional technical leadership.