Workplace Services Coordinator in United States

About the Team OpenAI’s Network Engineering team within IT and Security advances the mission of deploying artificial general intelligence (AGI) for the benefit of all by delivering secure, scalable, and resilient network services. We build and operate the connectivity that supports OpenAI’s offices, labs, campuses, cloud environments, people, and devices. By combining strong network fundamentals with security, reliability, automation, and user-centered design, we enable impactful AI research, corporate operations, and product innovation. About the Role As a Network Engineer at OpenAI, you will design, operate, and continuously improve the global networks that connect our offices, labs, campuses, PoPs, cloud environments, people, and devices. The role spans strategic platform engineering and responsive production operations: you will shape architecture, standards, roadmaps, lifecycle plans, and automation while supporting incidents, escalations, and time-sensitive delivery. Operational signals will inform what we stabilize, simplify, standardize, or automate next. We work backward from user needs, investigate root causes, own outcomes end-to-end, and move quickly without compromising security. We are looking for a versatile engineer who can make pragmatic reliability and security tradeoffs, communicate clearly, and turn recurring operational work into durable platforms, tooling, and standards. You will partner across IT, Security, AppEng, Research, Applied, workplace teams, carriers, and vendors. In this role, you will: Design, implement, and operate secure, scalable enterprise networks across offices, labs, campuses, PoPs, cloud connectivity, and hybrid environments. Set strategic direction for network services through architecture, standards, roadmaps, lifecycle planning, capacity strategy, and measurable reliability outcomes. Own production operations, including on-call, incident response, escalations, and time-sensitive delivery, while protecting user experience,

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Omnicare is a leading provider of pharmacy services to long-term care facilities nationwide, supporting skilled nursing facilities, assisted living communities, and other institutional care settings. Following the sale of Omnicare by CVS Health, this role will support Omnicare and its continued operations as an independent, standalone organization. Candidates should be aware that this role will not remain within CVS Health following the transaction and be supporting approximately 6,000 colleagues. The individual hired into this role will be employed by Omnicare and will contribute to shaping the future of our organization during this exciting period of growth and transformation. Coordinates employee relations programs to ensure compliance with policies and practices. Develops and implements policies and procedures, including grievance procedures and exit interviews. Researches and responds to employee questions, concerns and grievances. Maintains employee relations records. Primary Job Duties & Responsibilities Develops complex policies and procedures related to employee relations, ensuring compliance with applicable laws and regulations. Under minimal supervision, serves as a point of contact for employees regarding workplace issues, conflicts, and concerns. Conducts investigations, gathers relevant information, and r

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About Plaid & Our Mission At Plaid, we are building the digital financial ecosystem of the future, giving millions of people the power and access to manage their financial lives seamlessly. Behind every great product is a team of people who need reliable, friction-free technology to do their best work. Dynamics & Your Impact As part of the TechOps team, you will design, build, and support a first-class computing environment that keeps our business secure and our employees productive. In this role, you will be the backbone of our in-office technical experience. By ensuring our conference rooms, networking systems, and daily workplace tools run smoothly without interruption, you enable every employee to focus on expanding financial access for everyone. What You’ll Do (Responsibilities & Impact) Enable Seamless Collaboration: Ensure audio-visual (AV) systems in conference rooms and shared office spaces function flawlessly so team members can connect seamlessly across global offices. Resolve In-Office Hardware & Tech Needs: Directly troubleshoot and resolve issues with printers, monitors, keyboards, and other office desk peripherals, minimizing downtime for your collea

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About Plaid & Our Mission At Plaid, we are building the digital financial ecosystem of the future, giving millions of people the power and access to manage their financial lives seamlessly. Behind every great product is a team of people who need reliable, friction-free technology to do their best work. Dynamics & Your Impact As part of the TechOps team, you will design, build, and support a first-class computing environment that keeps our business secure and our employees productive. In this role, you will be the backbone of our in-office technical experience. By ensuring our conference rooms, networking systems, and daily workplace tools run smoothly without interruption, you enable every employee to focus on expanding financial access for everyone. What You’ll Do (Responsibilities & Impact) Enable Seamless Collaboration: Ensure audio-visual (AV) systems in conference rooms and shared office spaces function flawlessly so team members can connect seamlessly across global offices. Resolve In-Office Hardware & Tech Needs: Directly troubleshoot and resolve issues with printers, monitors, keyboards, and other office desk peripherals, minimizing downtime for your collea

As a Senior Technical Solutions Consultant , you will be the principal technical liaison between our product, sales, and customer success teams. You will provide tailored solutions for clients in the commercial real estate sector, specifically focusing on the complex VTS Activate product landscape (including Activate, Activate Workplace, Activate Multifamily, CBRE Host, and CBRE Host Building) . Your unique combination of property management experience and deep technical proficiency will help ensure that our clients maximize the value of our software. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** What Makes This Job Awesome? Act as the definitive subject matter expert (SME) and technical leader for the VTS Activate suite's integration landscape and partnerships, both internally and externally (e.g., Braxos, Kastle, CCure, AMAG, etc.). Design and deliver advanced, in-depth technical demonstrations for prospects and clients, specifically showcasing how the VTS Activate product suite solves specific challenges. Provide advanced technical support during the sales process, addressing complex questions and concerns about system integrations and core functionalities, serving as the technical closer for Activate deals. Provide support during the sales process for qualifying opportunities with hardware requirement and implementation. Provide handover details to cross-functional stakeholders to ensure smooth implementations. Own the solution reporting process for VTS Activate deals, including documenting deal journals and synthesizing won/loss reasons. This reporting provides critical intelligence for the Product team (feature gaps), the Sales team (competitive analysis), and the Executive team (market/product trends). Lead knowledge transfer and cross-functional upskilling initiatives for the Sales, Customer Success, and Services teams. This involves supporting the creation of documenta

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data structures,

As a Senior Product Manager for Regulated Industries, you'll drive our compliance, data sovereignty, and new market presence roadmap—one of Datadog's highest-growth focus areas. You'll work cross-functionally with teams across GTM , Support, Corporate Development, and fellow product managers to help accelerate that growth. A key focus of this role is international expansion across strategic markets, alongside supporting our ongoing regulated industries initiatives. At Datadog, we place real value in our office culture—the relationships, collaboration, and creativity it fosters. We operate as a hybrid workplace so our Datadogs can build a work-life balance that fits them. What You'll Do Define the roadmap for delivering Datadog's platform to highly regulated customers, globally Collaborate with product managers to help them succeed in regulated markets Speak fluently to the technical details customers care about—data flows and security architecture—for both engineering and executive audiences Enable GTM by partnering closely with sales and marketing teams Partner with Compliance Engineering and InfoSec teams Work with marketing, sales, and post-sales teams to identify gaps in our regulated offerings Deliver AI capabilities responsibly to highly regulated customers Who You Are You have five or more years of experience in a SaaS/B2B regulated industries role—Product Management, Compliance, Global Public Sector Engineering, or Product Marketing You're passionate about working with customers in regulated markets such as public sector, healthcare, and financial services You're customer-focused with high standards for quality You're energized by growth-stage opportunities You can engage deeply with technical, compliance, security, and executive audiences alike—from platform engineers to CISOs and CTOs You have excellent verbal and written communication skills, with the confidence to present ideas to technical stakeholders and executives alike You enjoy partnering cro

Senior Security Engineer, Vulnerability Management Here at Datadog, we think about vulnerability management a little differently. We embrace open source software, recognize our role in the software supply chain, and see attackers weaponizing vulnerabilities faster than ever. We are looking for a Senior Security Engineer who can combine vulnerability-management judgment with hands-on engineering to help us scale and improve our vulnerability lifecycle across Datadog’s multi-cloud products and services. In this role, you will turn ambiguous security problems into clear solutions, and work with engineering teams to address root causes and develop technical controls that reduce vulnerabilities earlier in the SDLC. You’ll use AI and automation to help scale the overall vulnerability lifecycle across Datadog. You will use data and sound technical judgment to prioritize risk, and partner with security, product, platform, and compliance teams to bring scalable solutions into practice. 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 Work across the vulnerability lifecycle from detection and impact assessment through risk-based prioritization, remediation, and verification. Use AI and automation to build tools, services, and workflows that make security ideas concrete, validate them quickly, and create alignment for scalable implementation. Reduce engineering toil through a “PRs, not tickets” approach, using automation to enrich findings, identify ownership, recommend or deliver fixes, and track outcomes. Analyze recurring vulnerabilities and remediation failures to identify root causes and opportunities to prevent issues earlier in the SDLC. Partner with SDLC Security, Product Security, platform teams, and engineering teams to balance technical constraints, busin

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. 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: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

Applied AI is where Datadog's ambitious AI bets get built and shipped ( Bits Chat , updog ). We sit at the intersection of research and product: turning promising capabilities from Datadog AI Research lab and the research community into production systems that reach real customers. The team builds the foundations for agentic systems capable of operating at scale in complex production environments. Current bets span agents that run autonomously at scale, context and memory layers that make those agents more intelligent over time, and tools that help customers build and validate AI-native services in production. The mandate is to move fast from idea to customer impact, and when a product finds its footing, to set it up for growth. As an Engineering Manager I in Applied AI, you will lead a team of engineers and applied scientists working on one of these challenges. You will define technical direction, run short feedback loops, make deliberate decisions about what to pursue or stop, and work closely with product managers, research teams, and cross-functional partners to ship AI capabilities that matter. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Lead and develop a team of engineers and applied scientists focused on building the foundations for agents operating at scale Work closely with product managers, research teams, and cross-functional partners to shape the team's bets from initial framing through to broader adoption, with a clear definition of success criteria at each stage Own end-to-end delivery of high-quality AI systems, from early research exploration to production-grade reliability, with high standards for operational excellence, system reliability, and technical quality Navigate the unique challenges of shipping AI-powered products: balancing quali

We’re looking for a Senior Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. 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: Serve as the technical owner for GenAI initiatives within APM, leading design, development, and deployment of ML/AI-powered features across multiple teams. Guide long-term strategy and technical direction for GenAI workflows across APM and related products. Build and benchmark GenAI/ML models using state-of-the-art techniques. Contribute to Datadog’s broader senior engineering community through thought leadership and collaboration on company-wide initiatives. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, sc

We’re looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. 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: Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production. Build and benchmark GenAI/ML models using state-of-the-art techniques. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equiva

At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale, enabling seamless collaboration and problem-solving among Dev, Ops, and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. APM at Datadog is on its way to redefine how users interact with their telemetry. We are integrating intelligence directly into troubleshooting workflows to help engineers find root causes faster, navigate complex distributed systems seamlessly, and optimize application performance with minimal cognitive load. APM provides deep visibility from end-user interactions to backend services and we are now expanding this foundation with new AI-driven insights, guidance, and automation. As a Product Manager II for APM, you will work with world-class engineers, designers, and partner product teams to shape the future of Distributed Tracing, Performance Analysis, and Intelligent Troubleshooting. You will help build advanced capabilities that scale to thousands of customers and make sophisticated observability workflows accessible to every engineer, from experts to beginners. 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 will do: Develop a deep understanding of APM customers, their performance challenges, telemetry workflows, and competitors Lead conversations with design partners and strategic customers to uncover real-world performance issues, validate product assumptions, and guide solutions from early prototypes through General Availability Define and deliver the next generation of APM features with engineering and design, especially agentic on