Top Tech Jobs & Startup Jobs

Build and scale Moveworks’ generative AI conversation engine for enterprise use. Responsibilities include designing scalable APIs, optimizing low-latency multilingual dialog systems, developing infrastructure for model customization, implementing logging and tracing frameworks, improving observability, and collaborating with ML, application engineering, product, and support teams. The role also champions engineering best practices, system robustness, performance optimization, and rapid innovation.

Own the product strategy and roadmap for securing agentic AI across internal systems and customer offerings. Translate AI security threats, red-team findings, and research into prioritized solutions. Lead architectural reviews covering agentic AI frameworks, authentication protocols, and LLM vulnerabilities. Partner with engineering, product, documentation, training, professional services, and enterprise customers to embed security into development lifecycles, define success metrics, and drive adoption of secure-by-default products.

Leads enterprise cloud FinOps across AWS, Azure, GCP, private infrastructure, and AI services. Develops governance, cost allocation, rate optimization, commitment strategies, savings pipelines, unit-economic models, forecasting, and executive reporting. Partners with Engineering, Finance, Product, Procurement, and cloud providers to improve infrastructure efficiency and gross margin. Helps shape AI-powered FinOps tooling, including anomaly detection, forecasting, optimization recommendations, and natural-language cost analysis. Mentors practitioners and advises senior stakeholders.

Leads ServiceNow’s global Site Reliability Engineering organization and reliability transformation. Owns SRE strategy, service enablement, service registry, observability, SLI/SLO standards, reliability governance, automation, AI-enabled operations, and production readiness across AWS, Azure, and GCP. Establishes reliability practices, leads incident response and postmortems, drives self-service and systemic improvements, partners with engineering and executives, and develops engineering managers and technical leaders.

Lead global technical enablement for post-sales cybersecurity teams by developing onboarding, training, technical content, labs, architectural workflows, integrations, live demonstrations, and competency evaluations. Facilitate technical workshops and large-scale training events, support product-release enablement, coordinate cross-functional stakeholders, and optimize programs using customer telemetry and field feedback to improve adoption, retention, expansion, and time-to-value.

Leads telecommunications industry marketing strategy, defining ServiceNow’s industry narrative and buyer-specific messaging. Builds AI-first content and marketing workflows, tracks competitive and industry developments, and partners with product, go-to-market, sales, and field marketing teams to generate pipeline. Represents ServiceNow at industry events, analyst briefings, and customer forums while coaching teams to use AI for research, content development, personalization, and quality improvement.

Lead global cybersecurity technical enablement for post-sales and customer-facing teams. Design technical training, onboarding, labs, architectural workflows, integrations, live demos, certification assessments, and product-release enablement. Create training content, facilitate events for audiences up to 400, coordinate stakeholders, and optimize programs using customer telemetry and field feedback. Partner cross-functionally with Customer Success, Product, Engineering, Support, and leadership to improve customer adoption, retention, time-to-value, and expansion.

Own the vision, roadmap, requirements, and delivery of conversational AI features. Translate customer feedback, research, and market intelligence into product priorities, PRDs, success metrics, and high-quality experiences. Lead cross-functional teams, coordinate dependencies, support enterprise pilots and go-lives, and guide AI evaluation, testing, telemetry, quality, and performance. Drive capabilities including clarification, multimodal experiences, information collection, feedback intelligence, and error handling across AI orchestrators.

Owns the vision, roadmap, requirements, and customer outcomes for conversational AI features. The role guides AI experience strategy, prioritizes feature gaps, translates customer feedback into product improvements, creates PRDs and success metrics, and coordinates engineering, design, and cross-functional teams. Responsibilities include AI evaluation, telemetry, quality and performance requirements, usability research, strategic customer pilots, go-lives, escalations, and end-to-end delivery of conversational AI capabilities.

Design and implement AI-native security features and frameworks, write high-quality Java and JavaScript code, and guide application teams on secure implementations and AI usage. The role involves architecture, performance, scalability, maintainability, technical communication, and collaboration with design and platform teams. The engineer will mentor software engineers, influence security standards, and deliver robust security capabilities on aggressive deadlines.