Top Tech Jobs & Startup Jobs

Owns ServiceNow’s Insurance industry positioning, messaging, and go-to-market strategy. Develops solution narratives, marketing assets, event programs, campaigns, competitive intelligence, and seller enablement. Partners with cross-functional teams to generate pipeline, track ROI, and translate AI and platform capabilities into measurable insurance business outcomes. Requires strong industry expertise, executive communication, and extensive B2B technology marketing experience.

Own Insurance industry positioning, messaging, and go-to-market strategy for ServiceNow’s AI platform. Build message houses, solution narratives, marketing assets, customer stories, demos, battlecards, and sales enablement materials. Lead first- and third-party event strategies, partner with demand generation and field marketing to generate measurable pipeline, and translate AI innovation into outcome-based industry narratives. Drive seller adoption through enablement and certifications while using AI tools for research, content development, and competitive intelligence.

Owns positioning and go-to-market strategy for ServiceNow’s Insurance industry segment. Responsibilities include developing industry messaging, solution narratives, marketing assets, event strategies, demand-generation programs, sales enablement, seller certifications, competitive intelligence, and AI-driven marketing workflows. The role partners with cross-functional teams to drive pipeline, measure campaign ROI, communicate platform and AI value, and position ServiceNow solutions around insurance customer outcomes.

Build and own distributed runtime infrastructure for Moveworks’ AI agents, including agent orchestration, long-running session management, event-driven messaging, structured concurrency, observability, caching, and state layers. Design reliable, scalable backend systems supporting multi-step workflows, tool calls, human interactions, crash recovery, real-time streaming, and low-latency responses for enterprise users.

Design, build, optimize, and scale machine learning infrastructure for training, evaluating, deploying, and serving large language models. Develop reusable workflow automation abstractions, distributed training and inference pipelines, model evaluation and monitoring frameworks, and latency optimizations. Collaborate with machine learning, data infrastructure, analytics, engineering, and product teams while establishing best practices for ML and data engineering.

Build and own distributed runtime infrastructure for Moveworks AI agents, including orchestration state machines, session leasing and recovery, event-driven messaging, asynchronous concurrency, observability, caching, and state layers. Design production backend systems that handle high-scale real-time traffic while ensuring correctness, low latency, fault tolerance, traceability, and graceful recovery across long-running agent workflows.

Build and own distributed runtime infrastructure for AI agents, including orchestration state machines, session management, event-driven pipelines, structured concurrency, observability, caching, and state layers. Design highly reliable, low-latency backend systems using Python or Go, DynamoDB, SQS, Kafka, Redis, gRPC, and OpenTelemetry. Handle long-running workflows, leases, checkpointing, concurrency, streaming, tracing, and production-scale traffic.

Build and own distributed runtime infrastructure for AI agents, including orchestration engines, long-running session management, event-driven pipelines, concurrency systems, observability, caching, and state layers. Design highly reliable, low-latency backend systems using Python or Go, DynamoDB, SQS, Kafka, Redis, gRPC, and OpenTelemetry. Handle distributed coordination, crash recovery, streaming, tracing, and production traffic at scale.

Own an AI-native product spanning AI Specialists and Voice AI from customer problem definition through launch and production performance. Deploy solutions within enterprise environments, analyze agent execution logs and evaluation data, define quality standards, establish outcome metrics, lead design partnerships, translate customer insights into roadmap improvements, and coach product managers. The role requires shipping enterprise LLM products, designing evaluations, building prototypes, and generalizing forward-deployed solutions across customers.

Leads global go-to-market execution for ServiceNow’s asset management portfolio, driving customer adoption, sales plays, pipeline, expansion, messaging, partner enablement, and field readiness across regions. Collaborates with sales, product, marketing, partnerships, and industry teams; advises executives on strategic deals; tracks market trends and performance; and represents the company at industry events.