Ai Agent Engineer With Copilot Studio And Power Platform in United States

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. AN OVERVIEW OF THIS ROLE Talent Acquisition at GitLab is evolving and you'll be at the center of it. As a Senior TA Operations Specialist, you own the full technology infrastructure that powers how GitLab recruits at scale. That means everything from ATS configuration and integrations to AI agent development and automation — you're the technical authority across the entire TA tech stack. This isn't a 'run the tools' role. You'll architect intelligent workflows, maintain the systems recruiters depend on every day, and build the AI layer that makes those systems smarter over time. You'll serve as the lead TA AI liaison,

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As the Head of AI Platform Engineering at Postman, you will lead the alignment of AI development with our growing API platform. You will drive the AI roadmap with a focus on expanding AI-driven API collaboration and agentic capabilities across the platform. This role requires a leader who can identify market opportunities, coordinate cross-functional AI initiatives, and foster strong partnerships to amplify the Postman AI platform's impact What You’ll Do Lead the development and execution of Postman’s AI platform strategy, focused on API ecosystem growth and platform innovation. Drive the AI roadmap, concentrating on API integration, platform expansion, and AI-driven agent functionality. Identify and capitalize on market opportunities for AI-enhanced API collaboration and intelligent agent features. Collaborate closely with business units, product teams, engineering, and external partners to ensure alignment and successful AI initiatives deployment. Oversee implementation with core AI platforms (OpenAI, Anthropic, AWS, etc)), ensuring technical and strategic alignment with AI features and API lifecycle improvements.

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: Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders. We are seeking a Strategic Finance professional to join Replit's growing team in Foster City, CA. In this critical role, you'll work in a lean team supporting high-impact strategic and operational initiatives across the business to drive data-driven decision making. You’ll partner directly with executive leadership and the Board to align financial strategies with our ambitious growth objectives. This role reports to the Head of Finance. Roles & Responsibilities: You'll contribute to critical projects across three main core areas: Internal Strategic & Operational Initiatives Cross-Functional Partnership: Partner with Sales, Marketing, Support, Product, and Engineering teams to build financial models and analyses that drive organizational decision-making New product launches: Build and present financial models, business cases, and investment analyses for new product launches GTM Finance: Partner with go-to-market leadership to drive growth through sales capacity planning, funnel and pipeline analytics, pricing strategy and resource allocation Pricing & Packaging: Analyze pricing and packaging strategies using quantitative and qualitative frameworks to recommend optimal approaches Unit Economics: Recommend strategies that balance growth

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron is seeking a highly skilled Armed Executive Protection (EP) Agent to provide comprehensive, discreet, and professional protective services to high-profile clients, senior executives, and VIPs. This role is responsible for safeguarding individuals through proactive risk mitigation, secure transportation, and close protection operations across dynamic and evolving environments. The ideal candidate brings a strong foundation in executive protection, situational awareness, and sound decision-making under pressure, with the ability to operate both independently and within a coordinated security team. Responsibilities: Conduct armed close protection and personal security for clients in various environments. Develop and implement threat assessments, route planning, and pre-advance operations. Monitor and secure client environments; to include residences, vehicles, and venues, while maintaining situational awareness. Coordinate real-time with the operations center and liaise with law enforcement/emergency services. Respond promptly to security incidents and emergencies. Maintain confidentiality regarding client details and movements. Minimum Qualifications: Minimum 3–6 years of executive protection experience in armed roles, military, law enforcement, or equivalent. Experience with high-net-worth individuals, C-suite, or in event security settings. Excellent physical

As the Senior Product Manager for the Actions & Automations team, you will own the ecosystem that enables customers, partners, and Datadog teams to build, deploy, and operate AI agents on Datadog. You will drive the strategy and execution for the platform capabilities, developer experience, integrations, and extensibility model that make Datadog the best place to build agents that understand and act on production systems. Modern engineering organizations are entering a new era where software is not only monitored and operated by humans, but increasingly by AI-powered agents. As agentic workflows reshape how teams build, operate, secure, and troubleshoot systems, customers need a platform for creating specialized agents, connecting them to business and engineering systems, governing their behavior, and extending them to solve unique organizational problems. You will define and build the ecosystem that makes this possible. Agent Builder sits at the intersection of Datadog's products, AI capabilities, and ecosystem strategy. You will have the opportunity to work across the breadth of the Datadog platform, partner with teams throughout the company, and help establish Datadog as the foundation for operational AI. 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: Define the vision, strategy, and roadmap for Datadog's Agent Builder platform and ecosystem. Own the core platform capabilities that enable customers and partners to create, customize, deploy, and manage AI agents. Drive the extensibility model for agents, including integrations, tools, actions, context sources, APIs, SDKs, and developer workflows. Shape how agents perform actions across Datadog products and third-party systems. Partner closely with AI, platform, infrastructure, and product tea

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: We are looking for an experienced insurance agent to help build the SoFi Protect business and deliver exceptional experiences for SoFi members. SoFi Protect is the in-house insurance agency helping SoFi members fulfill their protection needs across Life, Home, and Auto Insurance. If you like to SELL and ADVISE customers this role is for you. You will interact with members via email, chat, and phone to provide guidance and help them through coverage conversations. Since this is a newer part of the SoFi business, you will also be integral in building out the core processes and functions to shape and define how insurance is sold at SoFi. This opportunity is for go-getters who want to be in a business at an early stage, helping to shape the future and accelerate their careers in sales and operations. By running after problems, putting members first, and having a positive approach, you will thrive and deliver differentiated experiences for our members. What you’ll do: Engage potential and current members via phone, email, text, and chat to assist with their insurance needs Receive new leads and manage a pipeline of both SoFi members and direct-to-consumer leads Drive the entire lifecycle of the insurance sale from intake to quoting to fulfillment, navigating our panel of insurance providers. Assi

Datadog's integrations are the connective tissue between our platform and the technologies our customers run in the real world. As a Sr. PM on the Agent Integrations team, you will own the vision, prioritization, and execution for 100+ integrations that run directly inside the Datadog Agent from foundational infrastructure (MySQL, Kafka, Kubernetes) to the rapidly growing landscape of self-hosted AI and on-premise enterprise technologies. This is a high-impact, breadth-first role at the intersection of infrastructure observability and the frontier of AI-native workloads. At Datadog, we place value in our office culture; the relationships it builds, the creativity it brings, and the collaboration of being together. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Own the Agent Integrations roadmap. Determine which new integrations to build and which existing ones to improve, balancing customer demand, business impact, and engineering capacity across a catalog of 100+ technologies. Drive the expanding AI integration surface. Lead product strategy for self-hosted AI workloads, including LLM inference frameworks (e.g., Hugging Face TGI, BentoML), AI agents, MCP servers, and model orchestration tools, so Datadog customers can monitor every layer of their AI stack. Expand on-prem and hybrid coverage. Prioritize and execute new integrations for on-prem technologies including storage systems, HPC schedulers, network devices, and legacy enterprise platforms where customers run critical workloads. Build observability for ERP systems. Define and drive Datadog's strategy for monitoring enterprise ERP platforms (SAP, Oracle EBS/Fusion, Microsoft Dynamics) covering performance, job execution health, and integration layer telemetry so enterprise customers can observe their ERP stack alongside the rest of their infrastructure. Analyze adoption and customer feedback at scale. Use data from multiple sources to

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. What’s the role? Title – Customer Service Agent Contract Type – Permanent Shifts – 9am - 5pm (Subject to Change) THG Orbit is our award-winning, accredited Customer Service and Experience solution, offering world-class support to THG brands and Ingenuity clients. We optimise services, enhance customer experiences, and foster brand loyalty, ensuring a seamless journey from start to finish. We proactively identify and implement optimisation opportunities. Beyond scaling brands, THG Orbit enhances automation, reduces costs, and drives performance through digital innovation and efficiency. As a customer service agent, you’ll be the first point of contact for our valued customers, assisting with a wide range of inquiries – from product advise to resolving order issues. You’ll engage with customers across various communication channels, including live chat, phone, email and social media, ensuring that every interaction reflects our commitment to outstanding service. Key Responsibilities: The role will be based in a newly established US office, where the chosen individual will be responsible for building a strong customer service presence to support all brands and client needs across the US territory. You will be the first point of contact across our Customer Service platforms, supporting customers across our many Ingenuity brands! You will ensure that all customer inquiries, issues, and complaints are

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6.5 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, an

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6.5 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, an

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission. About the Role As AI agents move from answering questions to taking action across the internet, the standards that govern identity, delegated authority, discovery, communications, agentic-commerce and payment interfaces, agent-facing web access, agent-specific provenance, and auditability will determine whether agents can operate safely, interoperably, and with clear accountability. OpenAI is looking for an Agent Standards Manager to lead execution of our external technical standards strategy for a defined set of agent standards workstreams. This role will work closely with Agent Security, Applied and Platform teams, Product, Legal, GRC, Global Affairs, and GTM to turn OpenAI’s technical architecture and controls into credible specifications, protocol profiles, assurance criteria, and implementation guidance—and to bring emerging external requirements back into product and security roadmaps before they become blockers. The positions developed here are technical standards positions, not broad public-policy positions. This is a builder’s role as much as an external-facing role. You will execute a prioritized standards plan, author and negotiate protocols, build coalitions, secure the right internal approvals, and represent OpenAI in assigned technical forums. You will also help create repeatable processes that let the compa

About the Team The Agent Safety team works to ensure that increasingly capable AI agents act safely, exercise sound judgment, and remain aligned with user intent. Our mission is to reduce the probability of severe unintended outcomes from increasingly capable AI agents while preserving their ability to act effectively and autonomously. Our work spans three areas: Training: Create training methods, environments and data that teach agents to make better decisions in consequential situations. We turn real-world failures into training signals that prevent similar incidents, and identify precursor behaviors and mitigations to address emerging risks. Measurements: Build evaluations and production metrics that identify emerging risks and measure whether our interventions work. Oversight: Develop oversight and system mitigation mechanisms that reduce harmful actions while preserving useful autonomy (for example future versions of auto-review ). About the Role We’re looking for strong executors with excellent judgment, comfort with ambiguity, and an understanding of frontier model research. You don’t need prior safety or alignment experience, we also welcome people that recently realized that alignment and safety is a critical area to contribute to. This role is based in San Francisco, CA. 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: Train and evaluate frontier models to reduce harmful or misaligned agent actions, forming clear hypotheses and executing independently through ambiguity. Mine incidents and build scalable measurement, data-processing, and evaluation systems that turn real failures into repeatable safety signals. Collaborate closely with post-training, capabilities, oversight, and pre-training partners to ship research-backed mitigations into large-scale training and agent systems. You might thrive in this role if you: Have demonstrated strength in research engineering, ML en

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Product Designer, Agent Experience at Vanta, you will define how AI agents help security and compliance teams accomplish meaningful work with greater clarity, control, and trust across Vanta and the surfaces where our customers already work. The Agent Experience team builds agent-led experiences that help security and compliance teams achieve outcomes with less manual effort. The team owns the agent harness, including agents, skills, tools, and memory, as well as the patterns that help customers understand, guide, review, correct, and trust agent-generated work. Our goal is to make AI-powered workflows useful, transparent, and dependable in a product where clarity and correctness matter. As a Senior Product Designer on this team, you will shape both the underlying agent experience and the customer-facing workflows built on top of it. You will partner with Product, Engineering, Research, Data, AI Quality, and customer-facing teams to turn ambiguous problems into thoughtful, scalable, and trustworthy experiences. The patterns you establish will influence product teams across Vanta. What you’ll do as a Senior Product Designer, Agent Experience at Vanta: Lead end-to-end design for projects across the agent harness, from problem framing and discovery through launch and iteration. Define how agents, skills, tools, and memory are composed, surfaced, and understood by customers. Design experiences that help customers delegate real security and compliance work while maintaining visibility, control, and confidence. Create patterns for reviewing, correcting, approving, interrupting, and recovering from agent-generated work. De

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Customers increasingly use AI agents like Claude Code, Codex, Cursor, and internal Slack agents to run their business processes, and security and compliance work is no exception. For those agents to do that work, they need access to Vanta’s trust graph and intelligence layer. Vanta is building for that world: security and compliance products that customers can use through Vanta, through third-party agent platforms, and inside their own internal tools. As Senior Product Manager, Agent Ecosystem, you will own Vanta’s external agent surfaces: MCP, CLI, and plugins in marketplaces like Claude Code, Codex, and ChatGPT. Your job is to make Vanta the trusted compliance layer that agents rely on. You will define the strategy, ship the products, and own the outcomes. What you’ll do as a Senior Product Manager, Agent Ecosystem at Vanta: Own the strategy and roadmap for Vanta’s agent ecosystem products. Define how agents discover, access, and safely use Vanta capabilities, partnering with the platform teams that own APIs and authentication. Hold outcome parity as a product principle: work a customer can complete in Vanta should be possible through MCP, CLI, and plugin surfaces too. Lead marketplace and plugin launches, aligning product, engineering, legal, security, and go-to-market around each one. Partner with engineering and design to ship secure, reliable developer products. Build the developer-facing marketing motion: external agent documentation and customer stories that show what MCP and CLI users have unlocked. Partner with the product partnerships and alliances team on co-marketing with agent platforms like Anthropic and OpenAI,

About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent, proactive intelligence that can operate computers, collaborate with people and other agents, and expand what people and organizations can imagine, attempt, and achieve. We define what the next generation of agents should be able to do, build the training signal that teaches those abilities, and run the experiments that make them real. Our work spans coding, tool use, computer use, multi-agent coordination, long-horizon execution, factuality, instruction following, calibrated reasoning, and taste. Our team builds the data, environments, graders, training methods, and feedback loops that shape what OpenAI’s next agents can do and what they are like to work with, then carries those improvements through major training runs and into products used by people every day. About the Role As a member of the Agent Post-training Personality team, you will help make OpenAI’s agents exceptional collaborators. You will study what makes an agent thoughtful, clear, perceptive, appropriately proactive, and genuinely easy to work with, then translate those insights into evals, training data, reward signals, and model improvements. We use “personality” to mean much more than writing style or general likability. It includes whether an agent understands what the user is trying to accomplish, communicates with good judgment, adapts to context, asks useful questions, handles disagreement honestly and takes initiative at the right moments. The goal is to create a strong, tasteful default that can adapt to different people and situations. This work combines behavioral research, product thinking, research and communication taste. You will collaborate with product teams, human experts, and researchers across post-training and pretraining to ensure that improvements survive the full trai