Top Tech Jobs & Startup Jobs

Design, build, and operate agentic search infrastructure including indexing engines, ingestion/enrichment pipelines, and multi-modal, permission-aware indices. Own index lifecycle, scale hybrid sparse/semantic/vector indices, improve performance and observability, and contribute to entity resolution/knowledge graph capabilities. Collaborate cross-functionally to deliver production-grade, low-latency search for agents and evolve platform roadmaps.

Design, build, and scale Moveworks AI cloud infrastructure and developer platform across regions. Implement CI/CD, infrastructure as code, Kubernetes/Istio deployments, ensure security, reliability, observability, and cost optimization while partnering with platform, ML, data, and security teams.

Own and grow revenue within a portfolio of large ServiceNow accounts. Manage executive relationships, lead cross-functional virtual teams to design ServiceNow solutions, develop worldwide account plans and roadmaps, build multi-tiered client trust to CxO level, and hit targets for licenses, renewals, and professional services. Travel up to 50%.

Design, build, and operate production-grade agentic AI systems that reason over enterprise data, execute workflows, and run safely at scale. Focus areas include multi-agent orchestration, retrieval-grounded reasoning (RAG), model integration, observability, governance, and technical leadership to ship reliable, low-latency autonomous agents in production.

Design, build, and operate core distributed infrastructure (KV stores, event streaming, config, auth, feature flags), improve observability and scalability, collaborate with ML/search/product teams, and deliver cross-team, deadline-sensitive backend infrastructure projects.

Build and own runtime infrastructure for agentic AI: orchestration engine, distributed session management, event-driven pipelines, structured concurrency, observability, and caching/state layers to support long-running, low-latency agent sessions at scale.

Lead ServiceNow's global influencer program and center of excellence: set strategy, build long-term creator partnerships, run paid amplification, manage agencies and budgets, enable regional execution, create creative briefs, ensure compliance, and measure organic and paid performance to drive business outcomes and scalable processes.

Lead development of a generative-AI-enabled enterprise search platform: architect abstractions, build ranking and multi-turn QA systems, integrate LLM and RAG features, create evaluation metrics, and mentor engineers and hiring processes.

Build, optimize, and scale ML infrastructure for training, evaluating, and serving large language models. Develop abstractions, productionize pipelines and microservices, improve LLM latency and monitoring, and collaborate cross-functionally to support enterprise ML systems at scale.

Scale and optimize a generative, agentic conversation engine for enterprise use: build product infrastructure and neutral APIs for chat clients, minimize latency and memory, enable private-domain knowledge and multilingual translation, implement logging/tracing/metrics, provide debugging tools, and collaborate with ML, product, and support teams.