Top Tech Jobs & Startup Jobs

Lead design and implementation of production agentic AI systems: agent orchestration, sandboxed execution, latency optimization, LLM-driven improvement, multimodal I/O, and platform reliability. Collaborate across ML, security, product, and UX teams, mentor engineers, and productionize frontier AI algorithms at scale.

Design, build, and scale reliable agentic AI systems and infrastructure (orchestration, sandboxed execution, latency optimization, memory, multimodal I/O). Productionize frontier AI algorithms, collaborate with ML/security/product teams, mentor engineers, and deliver production-grade, performant code that advances enterprise AI assistant capabilities.

Quota-carrying solution sales role selling Finance, Procurement, and Legal Workflow solutions. Build pipeline, lead executive discovery, demonstrate solutions, craft account strategy, close complex enterprise deals, and collaborate across teams.

Leads global Sales operations, including budget management, dashboards, KPI tracking, executive special projects, organizational development, communications, annual planning, and cross-functional alignment. Partners with sales and company leadership to drive operational excellence, consistent priorities, strategic execution, team culture, and measurable business outcomes in a dynamic global environment.

Leads pricing and monetization strategy for ServiceNow’s AI and cybersecurity offerings. Responsibilities include market segmentation, packaging recommendations, cross-functional alignment with product and go-to-market teams, price realization and KPI reviews, pricing optimization, growth opportunity identification, and stakeholder management. The role also supports new pricing models, promotions, market launches, and execution planning.

Leads cross-portfolio AI product strategy by integrating customer insights, pricing and packaging decisions, roadmap direction, and adoption initiatives. Partners with product, engineering, customer success, pricing, and commercial teams to shape AI platform bundles, consumption-based models, and go-to-market positioning. Establishes customer feedback programs, identifies adoption barriers, translates research into product requirements, and measures the impact of product and pricing changes on usage, expansion, and revenue.

Develop and optimize search relevance for an enterprise question-answering platform. Build ranking features and frameworks, enable parallel ranking experiments, and create metrics to evaluate ranking performance. Analyze query logs to identify search-quality improvements and apply information retrieval, machine learning, text processing, and natural language understanding techniques. Collaborate with product, UX, customer success, and engineering teams to deliver improved answer quality.

Leads AI go-to-market strategy and M&A integration programs across global Sales, Customer Success, and Partner teams. Responsibilities include translating executive strategy into workplans and metrics, analyzing GTM performance, developing business models and executive materials, managing acquired SaaS integration workstreams, and creating playbooks, dashboards, and AI-enabled workflows. The role requires cross-functional collaboration, senior stakeholder influence, and delivery of measurable business impact.

Develop machine learning and generative AI capabilities for conversational enterprise search, including multi-turn question answering, information retrieval, ranking, evaluation, and LLM-enabled features. Build scalable platform frameworks that help product teams prototype and deploy search applications. Establish metrics for search quality, security, privacy, and scalability while collaborating with product, design, infrastructure, data science, and engineering teams. Contribute to a high-performing and inclusive engineering culture.

Build the agent evaluation platform for multi-step enterprise AI agents. Responsibilities include orchestrating high-concurrency evaluations, developing OpenTelemetry-based tracing, creating stateful simulations of enterprise systems, managing datasets and reports, implementing validators and scoring, and establishing reliability, reproducibility, and SLOs. The role also develops calibrated evaluation signals that can optimize and train agent behavior.