Engineering point of contact for delivering complex AI applications at YouTube, transitioning prototypes to production-grade solutions.
Responsibilities
Serve as the engineering point of contact for delivering complex AI applications, transitioning from rapid prototypes to production‑grade, AI‑powered solutions (e.g., multi‑agent systems, MCP servers) that drive measurable return on investment.
Execute the full software development lifecycle, authoring technical design documents and project plans, writing, testing, and shipping clean, maintainable code, building intuitive frontend surfaces, and executing delivery from initial scoping through to deployment.
Prototype rapid proof‑of‑concepts (PoCs) using frontier GenAI (e.g., LLMs, RAG, agentic frameworks) to demonstrate technical feasibility to stakeholders, translating ambiguous business problems into tangible software solutions.
Build high‑performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, compliance and latency.
Identify and systematically resolve the technical issues that prevent AI from reaching maturity, including data readiness gaps, system integration complexities, edge‑case management, and state‑management challenges.
Requirements
Bachelor's degree in Computer Science, Electrical Engineering, Math or a related quantitative field, or equivalent practical experience in software development
Lead the delivery of complex AI applications, transitioning from rapid prototypes to production-grade, AI-powered solutions that drive measurable return on investment.
Responsibilities
Lead the delivery of complex AI applications, transitioning from rapid prototypes to production-grade, AI-powered solutions (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.
Prototype rapid proof-of-concepts (PoCs) using frontier GenAI (e.g., LLMs, RAG, agentic frameworks) to demonstrate technical feasibility to stakeholders, translating ambiguous business problems into tangible software solutions.
Ship enterprise-grade solutions by owning the full software development lifecycle, authoring technical design documents, writing clean code, building front-end, and executing delivery.
Engineer high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Solve enterprise AI blockers by systematically identifying and resolving technical issues including data readiness gaps, system integration complexities, and agentic state-management challenges.
Requirements
Bachelor's degree in Computer Science, Electrical Engineering, Math or a related quantitative field, or equivalent practical experience
Lead the design of Gartner’s Global Business Services go-to-market model, defining territory investment, segmentation and capacity decisions to maximize productivity and growth across regions.
Compensation
A reasonable estimate of the base salary range for this role is 164,000 USD - 226,000 USD. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan.
Responsibilities
Set the strategy and roadmap for GBS territory and coverage design
Shape investment decisions and guide executive capacity and segmentation choices
Advise C-suite and senior leadership on tradeoffs and alignment
Lead and develop a high-performing team of senior leaders and analysts
Drive enterprise-wide execution of cross-functional initiatives
Lead growth and go-to-market strategy for an early-stage consumer technology startup, building repeatable city-by-city launch playbooks and managing launch operations.
Compensation
Base salary: $100,000 to $130,000 annually. Visa sponsorship is available.
Responsibilities
Build and refine a go-to-market playbook for city-by-city launches
Coordinate launch budgets, partnerships, timelines, and creative strategies across in-person and digital channels
Track growth metrics and improve launch performance at the city level
Manage or oversee user-generated content creators and partnership channels
Travel with the team for two- to three-week launch sprints in new markets
Build and run the operating system that enables Marketing to focus on the most important work, make decisions quickly, and execute effectively across teams.
Compensation
NYC Base Range $180,000—$244,000 USD
Responsibilities
Leading Marketing’s annual, quarterly, and cross-functional planning and portfolio management rhythms.
Managing the integrated Marketing calendar across campaigns, launches, events, content, and other important milestones.
Facilitating intake and prioritization for new cross-functional requests.
Preparing and facilitating decision forums, ensuring that decisions, owners, next steps, and tradeoffs are clear.
Identifying risks, blockers, capacity conflicts, and dependency issues.
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