Jobs in the United States

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Added 7 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Austin, TX
…environments, organizations, gateways, management console, developer portal, users, groups, and role-based…
Added 7 mins ago
Java Full Stack Developer (Senior/Lead)
Cognizant
Plano, TX
As a Java Full Stack Developer (Senior/Lead), you will make an impact by designing, building, and scaling API-first, cloud-native applications and integrations using modern Java, AWS,…
Added 8 mins ago
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Forward Deployment Agentic Engineer
Guidehouse
SAN ANTONIO, TX · HOUSTON, TX
- $70,000 to $116,000 USD / year
TWO (2) years of recent, hands-on experience building GenAI, LLM, or agentic solutions
Added 8 mins ago
Cyber Offensive Security Senior Associate
Grant Thornton
Austin, TX · Houston, TX · Dallas, TX
AI Red Teaming: Perform adversarial testing of AI/ML systems and LLM-enabled applications, including prompt injection, model manipulation, data exfiltration, and abuse-case testing.
Added 1 hour ago
TT
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $230,000 to $300,000 USD / year
- Design platform capabilities such as workspaces, permissions, billing, usage, SDKs, and terminal-first developer workflows.
Added 1 hour ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
…as model training and evaluation, text-analysis pipelines, LLM fine-tuning, retrieval-augmented generation (RAG) systems, AI agents, and AI opportunity and governance…
Added 1 hour ago
Senior Machine Learning Data Pipeline Engineer
NVIDIA USA
CA
Solid understanding of deep learning, embeddings, and LLM/VLM inference, including how training datasets are prepared and consumed by DNN teams.
Added 1 hour ago
Principal AI Solutions Architect, Customer Success
United States - Genesys Cloud Services, Inc.
Virtual Office, TX · IN · SC · TN · FL · MA · NC · KY · GA
Added 1 hour ago
TT
Staff Product Manager
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
- Experience shipping technically complex AI or LLM products to production, including work with agentic systems, evaluations, latency, model behavior, and context.
Added 1 hour ago
TT
Founding Senior Engineer
True Talent Solutions Partners
New York, NY
- $175,000 to $225,000 USD / year
- Experience building and owning production-grade agentic or LLM-powered systems that integrate with third-party APIs.
Added 1 hour ago
Sr Manager, Machine Learning
T-Mobile USA, Inc.
Bellevue, WA · Frisco, TX
Leads the architecture and delivery of scalable AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG), AI agents, and workflow automation, selecting…
Added 2 hours ago
K
Sr. Al Solution Engineer
Kentro
UNAVAILABLE
- $101,000 to $140,000 USD / year
Added 2 hours ago
O
Core Infrastructure Engineer 2
Oracle
Nashville, TN
- $70,000 to $166,100 USD / year
Demonstrated willingness to learn and responsibly apply AI/LLM tools, skills, and automation to improve engineering workflows.
Added 2 hours ago
TT
Software Engineer, AI Agents
True Talent Solutions Partners
Remote, United States
- $200,000 to $320,000 USD / year
- Make decisions about AI architectures, frameworks, and where different LLM approaches are effective.
Added 3 hours ago
SRAM Design Lead
Micron Technology
Boise · Albany
Added 3 hours ago
Z
AI Workflows & Safety Decision Making Intern [2027]
Zoox
Foster City, CA
- $5,500 to $9,500 USD / month
…You will work at the cutting edge where state-of-the-art AI developer tooling directly interfaces with safety-critical operational decision…
Added 3 hours ago
AI Data Scientist Intermediate
Geisinger System Services
Danville, PA
Added 3 hours ago
Software Design Engineer Intern
DataRobot, Inc.
Boston, MA · Seattle, WA · San Francisco, CA
Curiosity and eagerness to experiment with LLM APIs for developer productivity.
Added 3 hours ago
PI
Senior Principal AI Research Engineer
Pfizer Inc
WA · CA · MA · CT · NY
- $139,100 to $231,900 USD / year
Added 3 hours ago
PI
Senior AI Research Engineer
Pfizer Inc
WA · CA · MA · CT · NY
- $106,000 to $176,600 USD / year
Added 3 hours ago
UG
Director, Software Engineering
UnitedHealth Group
Eden Prairie, MN
- $134,600 to $230,800 USD / year
1+ years of experience designing, building, or deploying artificial intelligence solutions, including agentic AI systems, autonomous workflows, or LLM-enabled platforms
Added 4 hours ago
Director, Product Development, AI Enablement
Capital One
McLean, VA · San Francisco, CA · NY
Demonstrated track record of actively utilizing AI productivity, prototyping, and coding tools (e.g., advanced LLM prompting, Cursor, GitHub Copilot, v0) to accelerate your own product…
Added 4 hours ago
AI Engineer 4 (AI Foundations: World Model, RL, Causal Inference, Sequential Data)
Capital One
McLean, VA · Cambridge, MA · San Jose, CA · NY
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
Added 4 hours ago
AI Engineer 5 (AI Foundations: Evaluations and Agentic Workflows)
Capital One
McLean, VA · San Francisco, CA · Cambridge, MA · San Jose, CA · NY
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
Added 4 hours ago
A
Sr. Lead Application Developer
ADP
Roseland, NJ
- $107,400 to $264,300 USD / year
AI/LLM Exposure. Familiar with major AI platforms (OpenAI, Anthropic, others) and ability to leverage to enhance products and features.

Google

Group Product Manager, Data Center Software and Operations

Sunnyvale, CA, United States

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Job details

Posting language: English

Original job description

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
10 years of experience in technical Product Management or related technical leadership roles building and scaling software platforms or infrastructure products.
5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
5 years of experience developing or launching infrastructure products or technologies within networking, storage, compute hardware, databases, file systems, data analytics, cluster management, and other software infrastructure areas.
5 years of experience in people management, with technical leadership.

Preferred qualifications:

Experience partnering with engineering to adopt AI-first development practices (AI-assisted prototyping, agentic workflows, LLM-powered diagnostics) and delivering measurable operational impact.
Experience defining customer-centric SLIs/SLOs and reducing planned/unplanned downtime across mission-critical cloud or ML fleets.
Experience integrating software orchestration with physical operations, supply chain workflows, or robotics to drive sub-linear operational scaling.
Deep familiarity with hyperscale data center infrastructure (compute, TPU/GPU accelerators, networking, power/cooling), fleet management, or Google’s Technical Infrastructure (PIE, GCE, CSCO).
Proven track record of modernizing complex enterprise or field-operations platforms (similar to Talos), translating various persona journeys (technicians, logistics, SREs) into intuitive, high-velocity workflows.

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

As the Product Management Lead for Data Center Software (DCSW) and Operations, you will lead and mentor a team of Product Manager's building the foundational platforms that deploy, operate, and scale Google’s planet-scale compute and AI fleet, partnering across 300+ engineers in Platforms Infrastructure Engineering, Global Data Center Operations, SRE, and Cloud.

In this role, you will deliver intelligent software and operations platforms that power Google’s planet-scale data center fleet accelerating capacity from dock to quota while maximizing uptime, power utilization, and operational efficiency.

As a part of the Data Center Software Product team, you will build the foundational software and operations platforms that power Google’s planet-scale data centers. You will sit at the intersection of AI and Compute Enablement, Platforms Infrastructure Engineering, and Global Data Center Operations, manage the end-to-end life-cycle of Google’s compute, ML accelerator (TPU/GPU), network, power, and cooling infrastructure, from hardware onboarding and dock-to-quota deployment to automated repairs, maintenance, and decommissioning.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Manage a team of Product Managers and own the Data Center Software product strategy and roadmap across PIE, Data Center Operations (DC Ops), Google Compute Engine (GCE), and Site Reliability Engineer (SRE) accelerating dock-to-quota capacity, ensuring machine avaialbility with optimized Mean Time To Repair (MTTR) and improving power utilization.
Modernize Talos and supporting sofware ecosystem into a unified, next-generation data center operations platform for technicians, DCOps, logistics, and SREs.
Transform machine management operations (maintenance windows, drains, and Aurora automated repairs) to maximize TPU/GPU pod and VM uptime.
Partner with DC Robotics PM and Engineering teams to integrate physical automation and robotics into DC workflows, enabling sub-linear operational growth at scale.
Partner with DCIM Engineering to set up an AI-first development model, shipping agentic workflows and AI diagnostics with measurable progress.

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