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The Technical Product Manager owns a product vertical end-to-end, managing strategy, technical design, and delivery while ensuring reliability and regulatory compliance. They must align cross-functional teams including engineering, design, and compliance to ship secure and scalable financial products.
The Technical Product Manager will own a product vertical end-to-end, managing strategy, technical design, and delivery while ensuring regulatory compliance. They will align cross-functional teams including engineering, design, and finance to ship reliable, AI-native financial products.
You will own the end-to-end product vertical, including strategy, metrics, and a prioritized backlog while shaping technical design with engineering. You will also ensure regulatory compliance and integrate AI features that are valuable, predictable, and trusted.
The Technical Product Manager will own a product vertical end-to-end, managing strategy, technical design, and delivery for AI-driven financial applications. They will align cross-functional teams including engineering, compliance, and operations to ensure reliable, regulatory-compliant product launches.
Participants will record a short video demonstrating a series of facial expressions and emotional reactions to provide training data for AI systems. The process involves following in-app prompts to capture natural human expressions.
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You will lead the architecture and development of production-grade AI agents and intelligence products to optimize payment processes. This involves setting technical direction for agentic systems, ensuring reliability, and mentoring engineers to deliver complex cross-team AI projects.
Lead the product strategy and roadmap for custom models and self-hosted AI capabilities within the GitLab platform. Collaborate with engineering and design teams to define requirements that balance technical feasibility, infrastructure needs, and customer value.
The Tech Lead will manage and mentor the Conversational AI Engineering team while driving technical architecture and hands-on development of voice and chatbot solutions. They are responsible for ensuring high-quality code, managing project risks, and implementing secure, scalable AI integrations.
The Tech Lead will manage and mentor the Conversational AI engineering team while driving technical architecture and best practices for voice and chatbot development. They will also perform hands-on development, including prompt engineering and system integrations, to ensure high-quality, secure AI solutions.
The Tech Lead will manage and mentor the Conversational AI engineering team while driving technical architecture and hands-on development of voice and chatbots. They are responsible for ensuring high-quality, secure deliverables through code reviews, sprint management, and the implementation of AI governance.
Design, develop, and maintain scalable full-stack web applications while integrating AI/ML models. Manage CI/CD pipelines using GitHub Actions and ensure optimal performance across backend and frontend services.
Develop and integrate deep learning methods for robotics applications, focusing on vision-based decision-making, motion control, and object manipulation. Create and test software for industrial robot control while conducting research on new deep learning techniques.
The Solution Architect leads pre-sales activities, including technical discovery, solution design, and proposal development for Google Cloud Data and AI engagements. They are responsible for drafting Statements of Work, managing technical risks, and ensuring a seamless transition from sales to delivery teams.
The Staff Software Engineer leads a team in designing, building, and deploying production applications while mentoring junior engineers. They are responsible for product tool selection, performance tuning, and ensuring the resilience and security of software systems.
The Engineer I will support the design, implementation, and operational activities of AI agent platforms within an Agile team. Responsibilities include writing code, maintaining repositories, and collaborating on technical solutions for enterprise business needs.
You will lead the design and development of next-generation agentic AI systems, focusing on agent architecture, memory engineering, and performance evaluation. You will work closely with product and engineering teams to translate research into scalable, production-grade cybersecurity solutions.
You will design and develop production-grade multi-agent systems on Google Cloud using advanced foundation models like Gemini and Claude. Your role involves orchestrating agent communication, implementing RAG pipelines, and ensuring robust system performance through monitoring and evaluation.
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The consultant will manage and modernize the Microsoft Fabric data and analytics platform, ensuring operational stability and performance. They will also design data engineering pipelines, implement AI-enabled analytics, and establish platform standards to support institutional decision-making.
You will shape technical engagements during the sales cycle and govern architecture across multiple client pods to ensure scalability and profitability. Additionally, you will lead technical craft through mentorship, design reviews, and the development of reusable reference architectures.
The Director will define and champion the product vision, strategy, and roadmap for a new AI platform while leading a team of product managers. They will collaborate with engineering, data science, and clinical leaders to drive enterprise adoption of GenAI capabilities and ensure compliance with healthcare standards.
The Director will lead the vision, strategy, and execution of healthcare AI solutions while aligning cross-functional teams including engineering, data science, and clinical experts. They are responsible for driving enterprise adoption of GenAI capabilities and establishing product roadmaps that improve operational efficiencies and user experiences.
The Sr Director will define and deliver the shared platform components for a new AI platform, aligning product vision with business objectives. They will lead cross-functional teams, including engineering and data science, to scale AI-enabled capabilities while establishing enterprise governance frameworks.
You will own product features end-to-end, from customer discovery and technical planning to production deployment and validation. You will work across the full stack to build agent-first research tools while collaborating directly with founders and the engineering team.
The Chief of Staff will orchestrate strategic planning, portfolio management, and operational excellence for the AI & Data Science department. They will act as a key partner to executive leadership to ensure cross-functional alignment and drive departmental priorities.
The engineer will build and operate scalable telemetry pipelines and automated infrastructure systems to support GPU cloud services. They will also maintain hardware and software catalogs while standardizing incident management and operational workflows.
You will define the technical direction for AI infrastructure and lead cross-team initiatives to turn AI strategy into durable platform architecture. Additionally, you will mentor engineers and establish standards to ensure AI-enabled systems are secure, reliable, and maintainable.
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You will define and scale AI-native workflows across the company while connecting user needs to the AI Platform strategy. This role involves leading cross-team initiatives, mentoring engineers, and establishing technical investments that drive reusable company capabilities.
Lead the development of shared AI infrastructure, tools, and operational patterns to ensure reliable and secure AI capabilities across the company. Set technical priorities and coordinate cross-functional teams to balance immediate user needs with long-term foundational investments.
The Lead Software Engineer will guide the AI Enablement Squad in helping teams adopt AI through embedded engagements and platform improvements. They are responsible for setting quarterly priorities, coaching engineers, and creating repeatable playbooks for successful AI integration.
You will architect and deploy high-impact AI solutions for federal customers while managing the full lifecycle from design to launch. Additionally, you will serve as a strategic advisor to federal stakeholders, ensuring technical success and integrating the platform with enterprise systems.
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