Design, build, and deploy intelligent AI agents for consumer and business applications, owning the full lifecycle from ideation to production deployment.
Compensation
Annual base salary: $180,000–$275,000, depending on experience and qualifications. Competitive equity opportunity.
Responsibilities
Design, build, and deploy intelligent AI agents for consumer and business applications.
Own agentic AI features throughout the complete product lifecycle, from ideation and architecture to implementation and production deployment.
Develop customer-facing AI experiences using Large Language Models (LLMs) and modern agentic frameworks.
Build and improve AI agent functionality, evaluations, monitoring systems, and safety safeguards.
Develop scalable, high-performance web applications using modern full-stack technologies.
Requirements
Nice to have: shipping production-grade agentic AI products
Nice to have: familiarity with LLMs
Nice to have: AI agent frameworks
Nice to have: AI-powered workflow automation
Nice to have: integrating AI applications with APIs and external services
The Senior Manager, AI Enablement Engineering leads AI adoption and delivery for a designated business area, owning the AI opportunity portfolio and translating business priorities into scalable, production-ready AI capabilities.
Responsibilities
Own and prioritize the business area's AI use‑case portfolio, from discovery and intake through production and value realization.
Partner with business leaders to identify high‑value opportunities across GenAI, agentic AI, machine learning and automation.
Provide technical direction on solution architecture, platform patterns and production readiness.
Lead AI Enablement Leads and Engineers through rapid prototyping, architecture, evaluation and platform integration.
Serve as the key interface with AI Platform Engineering, translating business demand into platform requirements and driving adoption of reusable enterprise capabilities.
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field is required.
Master's degree (e.g., CS, AI/ML, or an MBA with a technical background) is preferred.
Lead the Employee Experience Solution Engineering group, owning technical strategy, engineering investment and delivery outcomes across Oracle platforms.
Compensation
US: Hiring Range in USD from: $193,600 to $414,400 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Own group engineering strategy and execution planning
Shape solution roadmap with senior director
Define architecture, technical roadmap and capability plan
Align engineering investments with business strategy
Advise executives on technical opportunities
Requirements
Bachelor’s degree in Computer Science or related field; Masters preferred
Lead and inspire a high‑performing team of Technical Program Managers, driving complex, multi‑disciplinary engineering projects and AI‑driven program intelligence within Google’s Data Intelligence organization.
If performed in any of the following locations: DEU – Home Based – Berlin; DEU Home Based – Merseburg; DEU Home Based – Bad Soden; Germany – Berlin (Leipziger Platz); Germany – Düsseldorf (LexisNexis); Germany – Karlsruhe; Germany – Merseburg; Germany – Bonn; Germany – Kusterdingen; Germany – DUS – Johannstrasse; Home Based – Baden‑Württemberg; Home Based – Bremen; Home Based – Lower Saxony; Home Based – North Rhine‑Westphalia; or Home Based – Rhineland‑Palatinate, the base pay range is €59,300 - €98,600.
Responsibilities
Be the voice of end users in product and engineering teams
Define what good looks like across AI-assisted uses
Capture definitions in question sets, scoring rubrics, and acceptance criteria
Perform structured human-in-the-loop evaluations
Collaborate with patent experts to develop scalable evaluation methods
Requirements
Degree in a scientific, engineering, or technical subject
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