Beam jobs

AI Engineer, Advanced Solutions Lab, Google Cloud Chicago, IL, USA; +2 more The AI Engineer role within the Advanced Solutions Lab (ASL) focuses on delivering and evolving a sophisticated Machine Learning and Generative AI curriculum for global participants. Operating in an immersive environment, you will work directly with customers to apply innovative AI solutions to high-impact business challenges and specific industry use cases. You will lead the daily educational journey for participants while continuously improving the program by integrating internal Google expertise and recommending the best open-source frameworks and models. Beyond these core duties, you will actively participate in the broader Google ML community through research collaboration, engineering projects, and strategic initiatives that shape the future of AI.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $222000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Drive the Advanced Solutions Lab by delivering content, identifying machine learning (ML) experts across Google to support specific sessions, and providing ongoing curriculum enhancements. Lead and support customers' machine learning projects from framing to implementation in the Advanced Solutions Lab. Design

Software Development Manager, Alexa AI Toronto, Ontario, CAN Description We're building the next generation of intelligent experiences for Alexa - systems that understand context, anticipate needs, and act proactively. This is a greenfield initiative at the intersection of large language models, real-time stream processing, and edge computing. As a Software Development Manager, you will lead a team of talented engineers building distributed systems that span edge devices and cloud services. You will own the technical vision, people development, and delivery for a high-visibility initiative that is making Alexa smarter, more proactive, and indispensable. What You'll Own * Own the system that turns context into action - making Alexa anticipate what customers need, powered by large language models at scale * Lead the design and operation of edge-to-cloud data pipelines handling high-throughput, low-latency stream processing from millions of devices through cloud inference and back to customer experiences * Drive the architecture for LLM orchestration systems that coordinate large language model calls with tight latency budgets and high reliability requirements * Define integration strategy across five or more partner teams, aligning your team's output with downstream Alexa experiences and driving cross-org execution * Establish operational excellence for your team's infrastructure - event-driven architectures, monitoring, alarming, and on-call processes Why this role? This is a greenfield initiative where the architecture is being defined now - you will shape it. The team iterates working software with senior leadership on tight cycles, and your work is directly visible to VP and SVP stakeholders. You will

Sr. Product Mgr, Tech, AWS Kinesis Seattle, Washington, USA Leading brands like Disney+, Atlassian, Lyft, John Deere, and Adobe use Amazon Kinesis Data Streams as their foundation for real-time streaming data. With Amazon Kinesis, customers process Gigabytes per second of real-time user engagement data for gaming and marketing analytics, build real-time IoT sensor data analytics solutions, analyze millions of financial transactions in real time, perform network intrusion detection for security analytics, transform and load logs into data lakes, and much more. Customers, choose Kinesis because it is a fully-managed service that makes real-time streaming data ingestion and processing, reliable, easy, and cost-efficient, at any scale. Tens of thousands of customers worldwide, ranging from large commercial enterprises, federal and state governments, regulated industries like healthcare and finance, to small start-ups have moved from batch to streaming with Amazon Kinesis Data Streams, and we are just getting started. We are seeking an experienced product manager for Amazon Kinesis Data Streams. As a Senior Product Manager (Technical) you will drive product management for the service and how it works within the diverse ecosystem of streaming data and analytics services at AWS. You will own driving the feature roadmap on behalf of our customers in partnership with a highly-talented engineering team to focus energies on the most important things for the business. You will also be a business owner, working closely with finance, marketing, business development, technical field community, and product management peers to ensure the service has the right positioning, messaging, and enables

Software Development Manager, Networking, Leo Software Defined Network Redmond, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. Leo Software Defined Networking (SDN) team will design, implement and operate the network virtualization stack and SDN control plane signaling. Our scope spans over beam planning, routing and forwarding through our SDN Controller, Agents, and Applications that provides a high throughput telecom service comprised of Low Earth Orbit satellites, customer terminals, gateways, Cloud services and terrestrial network infrastructure that connects into public and private networks. We are looking for a dynamic leader and owner to build out our Skynet Operations team for an advanced global telecom service via both space and terrestrial networks. As the manager of this team, you will lead a mix of network engineers and software engineers to develop novel mechanisms that increase our end-to-end observability tools deliver high quality, secure and fault tolerant software used in Low Earth Orbit (LEO) satellites, ground Gateways, and Consumer/Enterprise class Customer Terminals. You will define the long-term vision for the team and its products as well as defining the team structure needed to achieve it. The candidate must have expertise with modern development practices and network operations and will have demonstrated the capability to deliver best-in-class software systems that solve

Data Science Manager, Customer Experience and Business Trends Seattle, Washington, USA Amazon's Customer Experience and Business Trends (CXBT) is seeking a Data Science Manager to lead a team of scientists and engineers within Benchmarking Economics Analytics and Measurement (BEAM). BEAM is a central analytics and science function that drives Amazon's quantification of CX improvement opportunities through comparative benchmarks, partnering with stakeholders across CXBT, business domain teams, Finance, SCOT, and other centralized science teams. This is a hands-on leadership role for a manager who can set technical direction, build durable data products, and grow people. You will own the strategy and roadmap for a portfolio of analytics products, working backward from leadership and stakeholder needs to deliver insights that inform decisions at the speed of business. Key job responsibilities - Build a holistic metrics and trend-detection product. Lead the team to design and operationalize an always-on framework of indicators that surfaces emerging business trends reliably enough to brief senior leaders. - Partner with cross-org stakeholders to drive product adoption and impact. Work directly with internal customers and partner teams to ensure our products are tightly aligned with business use cases, translate ambiguous problems into well-scoped analytics solutions, and drive adoption so that insights translate into decisions and measurable business impact. - Manage, mentor, and grow the team. Hire, develop, and retain a high-performing team of scientists and engineers. Set clear expectations, give actionable feedback, create stretch opportunities, and build the bench strength needed to scale the team's scope over time. -