Ai Deployment Manager in United States

ROLE SUMMARY The Asset Lifecycle Management (ALM) Lead is responsible for the systematic tracking, installation, and removal of laboratory equipment throughout the entire lifecycle, from acquisition through deployment, maintenance, and final disposal. Operating within an R&D environment, this role facilitates asset preplanning, site assessments, and ensures all asset-related activities are documented, tracked, and compliant with regulatory standards. By optimizing equipment usage, managing inventory, coordinating maintenance, and driving process improvements, the ALM supports efficient and safe laboratory operations while controlling costs and enabling the lab for evolving technological requirements. This is to include but not be limited to supporting the regular updates and reconciliation of the Fixed Asset Registry (FAR) and physical inventory field activities. With input from both the customer equipment owner and the original equipment manufacturer (OEM), this role will develop the correct service program for assets within EAMS (Enterprise Asset Management System) or Pfizer’s Computerized Maintenance Management System (CMMS). Additionally, this position will be responsible for the documentation of asset maintenance activities within EAMS and support site EAMS administration requiring the review of training requirements and On the Job Training (OJT) for new resources requiring system access. The Asset Lifecycle Manager will also represent the site on various Global Workplace Experience (GWE) Communities of Practice or multi-site or global teams ensuring best practices and standards are being leveraged across the broader R&D portfolio. This position will foster and maintain working relationships with GWE, Preclinical & Translational Sciences (P&TS) Research and business operations team colleague and contractors to analyze needs, provide recommendations, and execute plans and options that ali

About the Team The DeployCo Deal Desk helps turn customer deployment opportunities into clear, executable professional-services engagements. We partner across Deployment, Sales, Legal, Finance, Technical Revenue, and Operations to ensure every deal has a well-defined scope, pricing aligned to approved guardrails, complete approvals, and a clean handoff to delivery. The team sits at the intersection of commercial execution and delivery readiness. We make complex services deals easier to buy—and easier to deliver—while strengthening the templates and workflows that help DeployCo scale. About the Role We are hiring a hands-on Professional Services Commercial Lead to own the end-to-end deal desk workflow for assigned DeployCo professional-services engagements. You will personally draft and revise statements of work (SOWs), validate pricing and deal inputs, coordinate cross-functional reviews and approvals, and ensure commitments are clear, deliverable, and ready to execute. The differentiator in this role is drafting expertise: you have written SOWs, not simply routed them. You can turn technical and delivery inputs into precise scope, deliverables, milestones, assumptions, dependencies, acceptance criteria, fees, and change controls—then keep the deal moving. This is an individual-contributor role for an experienced contract manager, deal desk professional, or professional-services commercial operator who combines strong writing and commercial judgment with disciplined execution. What You’ll Do Own assigned DeployCo deals from intake through approval, signature, and operational handoff. Draft and revise SOWs, work orders, and change orders using approved templates and playbooks; partner with Legal on non-standard contractual terms and redlines. Validate rate cards, fees, hours and resourcing inputs, discounts, margin inputs, billing milestones, and key deal data against approved inputs and guardrails; reconcile the SOW to the quote and route exceptions with a clear rec

About the Team The DeployCo Deal Desk helps turn customer deployment opportunities into clear, executable professional-services engagements. We partner across Deployment, Sales, Legal, Finance, Technical Revenue, and Operations to ensure every deal has a well-defined scope, pricing aligned to approved guardrails, complete approvals, and a clean handoff to delivery. The team sits at the intersection of commercial execution and delivery readiness. We make complex services deals easier to buy—and easier to deliver—while strengthening the templates and workflows that help DeployCo scale. About the Role We are hiring a hands-on Professional Services Commercial Lead to own the end-to-end deal desk workflow for assigned DeployCo professional-services engagements. You will personally draft and revise statements of work (SOWs), validate pricing and deal inputs, coordinate cross-functional reviews and approvals, and ensure commitments are clear, deliverable, and ready to execute. The differentiator in this role is drafting expertise: you have written SOWs, not simply routed them. You can turn technical and delivery inputs into precise scope, deliverables, milestones, assumptions, dependencies, acceptance criteria, fees, and change controls—then keep the deal moving. This is an individual-contributor role for an experienced contract manager, deal desk professional, or professional-services commercial operator who combines strong writing and commercial judgment with disciplined execution. In this role, you will: Own assigned DeployCo deals from intake through approval, signature, and operational handoff. Draft and revise SOWs, work orders, and change orders using approved templates and playbooks; partner with Legal on non-standard contractual terms and redlines. Validate rate cards, fees, hours and resourcing inputs, discounts, margin inputs, billing milestones, and key deal data against approved inputs and guardrails; reconcile the SOW to the quote and route exceptions with a

About the Team The Product Policy team develops and implements policies that shape how OpenAI’s technology is built and used. We work with teams across the company to turn complex questions about AI’s benefits and risks into practical guidance for responsible research, product development, and deployment. About the Role As Product Policy Manager, Regulation, you will map external regulatory and legislative trends and synthesize them into concrete research, product, and policy requirements. You will connect deep expertise in regulation and public policy with a sophisticated understanding of AI and strong product judgment. Your remit will span frontier AI, youth, wellbeing, use in high-stakes domains, deceptive use, and other emerging issues. Working closely with Legal and Global Affairs, you will help Product, Engineering, Research, and Safety teams understand what external developments mean for their work, what decisions or evidence are needed, and how to act. We’re looking for someone who combines deep regulatory and public-policy expertise with an in-depth understanding of AI and a demonstrated ability to advise product and engineering teams. You should be able to move from complex external developments to clear decisions and requirements that teams can implement. This role can be based in San Francisco or remote. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Map and prioritize regulatory and legislative developments across jurisdictions and AI issue areas. Distinguish enacted requirements, proposals, guidance, and emerging expectations; assess their relevance, uncertainty, timing, and implications for our models and products. Translate external developments into actionable research questions, evaluation needs, product requirements, and policy recommendations. Identify gaps in evidence, define the intended outcome and acceptance criteria, and make tradeoffs and open questions c

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Our Sales and Solutions teams navigate hard technical conversations spanning inference performance, GPU economics, latency budgets, deployment shape. As Baseten’s platform matures, we need a dedicated owner to translate launch velocity into field readiness. As our first Product Enablement Lead, you'll sit between Product, Marketing, and Sales GTM and own how Baseten's products, features, campaigns, and market moments like the launch of GLM-5.2 or Kimi K3 or the sudden evolution of Tokenomics as a discipline get translated into field execution. You will own how these launches land with the field, how AEs and SAs stay credible on a highly dynamic technical ecosystem, and how what the field hears from customers makes it back to Product. This is a hands-on individual contributor role. You are the bridge between product, marketing, and sales. You'll build the system and run it, which includes cross-functional program leadership, direct training and enablement of in-seat reps, and content and curriculum development for managers, sellers, and new hires. Success here will depend on your ability to build repeatable systems and rhythms and to partner across the business and with your enablement colleagues to ensure alignment and speed of execution. RESPONSIBILITIES Own launch readiness: partner with Product and Marketing on positioning, write internal launch comms, and run readiness sessions so AEs and SAs can sell new pr

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are bringing our people systems in-house on Workday, and we are hiring our first dedicated Workday Analyst to make it excellent. You will join while the implementation is underway, ramp alongside our deployment partner, and own the tenant from go-live onward. This is a hands-on configuration role: you will build business processes, manage security, load data, and test releases yourself, and you will teach others on the People team to do the same as we grow. If you want to shape a Workday environment from its first day in production instead of inheriting years of someone else's decisions, this is that rare opening. RESPONSIBILITIES Own day-to-day Workday configuration: business processes, security groups and roles, custom reports, calculated fields, and tenant settings Build and run EIB loads for data changes, mass updates, and audits Own the twice-yearly Workday release cycle: evaluate new features, regression-test, and roll out changes safely Shadow the implementation build, then take over tenant ownership at go-live Monitor integrations and triage issues with our IT team and vendors Support payroll configuration in partnership with our Accounting team and payroll services provider Field and resolve system requests from employees, managers, and the People team Mentor teammates so Workday administration becomes a team capability, not a single point of failure REQUIREMENTS 4+ years administering a live Workday

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents. We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: Multi-cloud capacity management Inference on B200 GPUs Multi-node inference Fractional H100 GPUs for efficient model serving RESPONSIBILITIES Build and maintain scalable infrastructure to support the deployment and operation of machine learning models. Establish standards and best practices for reliability and performance across the infrastructure. Automate processes when relevant, particularly for managing CI/CD pipelines. Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution. Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. Mentor junior team members and contribute to knowledge sharing within the organization. Navigate ambiguity and exercise good judgment on tradeoffs and

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Help power the development of Replit Agent as an engineer in the Replit Cloud organization. The Replit Cloud team builds Replit’s first party cloud infrastructure so users can build, scale, and succeed entirely on Replit. They manage databases, application storage, app publishing and hosting, development/production environment splitting, custom domains, and more. By having a set of first party services that integrate seamlessly, you will power one of Replit’s key product differentiators. You will: Work closely with designers and product managers, to quickly iterate on Replit Cloud to continually grow and improve the product. Drive full-stack feature development from conception to deployment, taking ownership of key product initiatives. Contribute to architectural decisions that shape the future of our product. Ship product and build infrastructure as a true full stack builder using: TypeScript, React, CSS, Postgres, Go, and Terraform. Examples of what you could do: Leverage our unique cloud infrastructure to build differentiated full product experiences, helping non-technical or semi-technical users remove roadblocks to success. Leverage AI agents to proactively optimize or suggest app improvements on latency, reliability, SEO, and more. Be part of engineering leadership, steering teams towards the highest impact work and supporting initiatives across the company. Required skills and experience: Bachelor’s degree in Computer Science or related field, OR equivalent real-world experience in engineering roles. Comfortable building with our tech stack: TypeScript, React, Go Preferred Qualifications Experience building user facing platform as a service products. Experience with AI/agentic systems. Previous e

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Enterprise Security Engineer, you will advance Roblox’s Enterprise Security strategy by shaping and evolving security architecture in alignment with business objectives. You will lead the design, deployment, and governance of security solutions that safeguard Roblox’s corporate infrastructure while enabling scalable, secure operations. Partnering cross-functionally with Corporate Engineering and Trust & Safety, you will translate organizational priorities into resilient security capabilities that balance risk, compliance, and productivity. You will join the Platform, Enterprise, and Application Security group, reporting directly to the Senior Manager of Enterprise Security Engineering. You'll partner with security professionals across the InfoSec team, and work cross-functionally with teams throughout Roblox to drive security initiatives that scale with our business. You will: Define and maintain enterprise-wide security standards and principles that guide how security is implemented across business workflows, ensuring consistency, scalability, and alignment with organizational risk posture. Lead and drive initiatives across core security domains, including Endpoint Secur

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We need a highly innovative Technical Lead! How confident are you that you can build sophisticated analytic systems? If you believe you could contribute to the development of innovative principles and ideas in a matrixed environment, please keep reading as we are seeking an individual contributor who has experience with Java and Python and can lead and nurture an inspiring environment in our Virginia office. Our Impact: The Investments and Capital Markets (I&CM) division is looking for a capable technology lead for its trading and analytics development team. This could be you! To thrive in this division, you must have a comprehensive understanding of system implementation and design, experience working in capital markets, and be enthusiastic about leading development of new paradigms in software system architecture. Your Impact: As a Trading Analytics Development Tech Lead, you will develop and maintain software using Java and Python tech stack that adheres to software engineering best practices. You will influence technical decisions, mentor developers, resolve engineering blockers, and partner with engineering managers to help teams deliver secure, reliable, and maintainable solutions. You will provide hands-on directions for full-stack applications, APIs, microservices, and integration services while reinforcing engineering discipline across design, development, testing, deployment, observability, and production readiness. Partner closely with Product Owners, engineering managers, architecture, business stakeholders, and cross-functional tec

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity We are seeking an experienced and vision-driven Lead Enterprise Systems Engineer to join our engineering team. In this role, you will bridge the gap between business objectives, solution architecture, and hands-on execution. The ideal candidate remains actively involved in coding (roughly 70–80% of the time) while serving as the primary technical point of contact for project stakeholders. What you'll do Technical Vision & Solution Architecture Lead the architectural design, development, and deployment of resilient, scalable solutions in our Salesforce Platform for both Sales & CPQ. Translate business and product requirements into clear, technical roadmaps and system specifications. Establish engineering best practices, design patterns, coding standards, and testing strategies. Hands-On Execution & Quality Assurance Write clean, maintainable, and highly efficient APEX code alongside the Salesforce development team. Conduct thorough code reviews to ensure quality, security, and performance. Manage technical debt, proactively balancing speed of delivery with long-term system health. Team Leadership & Mentorship Provide technical guidance, direct support, and actionable feedback to Salesforce engineers. Mentor team members to foster technical growth and career advancement. Lead agile ceremonies (sprint planning, daily stand-ups, technical grooming, post-mortems). Cross-Functional Collaboration Partner closely with Technical Managers, Enterpri

Role Summary: Datadog is seeking a Staff Software Engineer to help shape the future of our Bring Your Own Cloud (BYOC) Logs offering by unifying observability pipelines with log management software that customers deploy and manage in their own infrastructure. This role will focus on building and scaling systems that process, route, and store high-volume observability data within customer-managed infrastructure. You will operate as a hands-on technical leader, driving architecture, cross-team delivery, and product direction across a complex and evolving space. This is a high-impact opportunity to influence product strategy, mentor engineers, and solve deeply technical challenges at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Make customer-controlled deployments feel like a managed Datadog product: deployment, upgrades, configuration, observability, diagnostics, reliability, and secure operation across diverse customer cloud environments Build and scale high-throughput systems for log processing, routing, and transformation across distributed environments Lead cross-team initiatives, aligning engineers, product managers, and stakeholders to deliver complex, multi-team projects Design and implement software that runs reliably that customers deploy and operate within their own cloud infrastructure. Improve system performance, scalability, and cost efficiency through thoughtful trade-off analysis and capacity planning Contribute hands-on to critical code paths, debugging, and deployment challenges in customer environments Who You Are: You have significant experience building software that is installed, deployed, and operated in customer environments rather than only as a fully managed SaaS service. You have strong expertise in distributed systems,

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. What you will do: As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Job Summary We are looking for an experienced Growth Infrastructure Engineer to build and maintain the technical backbone that enables scalable growth experiments, high-performance data pipelines, and automated systems that drive user acquisition, engagement, and product iteration. This role sits at the intersection of growth, product, and infrastructure — combining deep technical engineering with experimentation and data-driven optimization. You will collaborate with product, data science, and backend teams to ensure that growth initiatives run smoothly and scale efficiently across systems. Key Responsibilities Growth Infrastructure & Systems Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs. Build and optimize analytics pipelines to capture key product and growth metrics (acquisition, activation, retention, etc.). Develop automated workflows for user onboarding, campaign delivery, and performance tracking. Experimentation & Optimization Support A/B testing frameworks and integrate them into production systems. Enable reliable data collection and evaluation for growth experiments. Automate deployment and rollout of growth feature flags and tests. Cross-Functional Collaboration Partner with Growth Product Managers, Data Engineers, and Analysts to define technical requirements for growth initiatives. Translate business goals into technical specifications and system designs. Provide guidance on performance, reliability, and scalability trade-offs. Monitoring & Reliability Implement monitoring and alerting for growth infrastructure services. Troubleshoot production issues and optimize for uptime and performance. Ensure data quality and consistency for report

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity Every company shipping AI right now has the same problem: they can't see what their AI is actually doing in production. New Relic is building the answer, AI Observability, and it's one of the company's top strategic initiatives. We're running it like a startup inside the company: small teams, fast iteration, direct executive sponsorship, and a mandate to ship. As the Principal Product Manager and business owner of this initiative, you'll take it from vision through GA, then keep pushing past GA, where most of the real work actually happens, working directly with some of the largest AI deployments in the world. What you'll do Own the AI Observability roadmap and the business outcomes leadership tracks (adoption, retention, expansion), plus the parts of the job that aren't purely product: pricing conversations, exec reporting, and cross-functional escalations. Drive multiple engineering and design teams in parallel toward a coherent product vision, without formal authority over them. Partner directly with strategic enterprise customers, including their platform and infra teams deciding how to operationalize AI safely, and turn what breaks at their scale into product requirements fast enough to matter. Build working prototypes yourself using agentic AI workflows, so ideas get pressure-tested before engineering time is committed to them. Represent AI Observability in executive strategy and prioritization decisions, and make the tradeoff calls when prioritie