Production Automation Developer Jobs

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: This role will be working as part of both the Maconomy ERP testing team, who are responsible for all QA, Test & Release activities for this platform, as well as the QA Transformers team who own and operate our Test Automation platforms. You will provide technical as well as best practice support for all areas of test automation to the business. What you'll be doing: Lead Test Automation Efforts: Develop and implement automated testing strategies for functional, integration and regression testing, ensuring maximum test coverage and efficiency. Test Automation Framework Development: Lead the development, and maintenance of reusable and scalable test scripts, as well as supporting the design and development of our Global test frameworks Supporting Multi-Testing Streams: Ensuring that tests are developed and can be deployed to support multiple streams of work at the same time, such as multiple environment testing, as well as monthly releases Test Maintenance & Optimisation: Continuously monitor, update, and refactor existing test scripts to ensure they are up-to-date with a

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Forward Deployed Engineer to own the technical outcome of the AI Hardware systems we build with our customers. You will work alongside customer engineering and operations teams to make complete systems work in production or near-production environments. This engineering role spans hardware and software integration, deployment, validation, automation, debugging, and ongoing operations. You will contribute to customer deployments, establish reliable operating procedures, and drive customer systems through resolution until they work as intended. This role is Hybrid, based out of Tokyo, Japan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You take ownership of customer outcomes in deployed environments through integration, validation, production readiness, and operations. You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don’t treat hardware as a black box. You work directly with customer engineering and operations teams to understand their environment, constraints, and desired outcomes. You’re comfortable debugging across the inference stack, from failing requests, kernel di

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

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Governance, Risk and Compliance (GRC) Analyst who wants to build GRC with AI, and you do not need to be an engineer to do it. We encourage and equip you to use AI tooling to build automations for audit evidence and customer security questionnaires, alongside assessing AI tools and vendors and managing audits. This is a hybrid role based in San Francisco, New York City, or London with three days a week in the office. What you’ll do: Assess AI tools and vendors against security, privacy, and compliance requirements, and run company compliance and ethics training Maintain the internal controls behind ISO 27001, System and Organization Controls 2 (SOC 2), Health Insurance Portability and Accountability Act (HIPAA), and Payment Card Industry Data Security Standard (PCI DSS) compliance, and drive remediation to completion with documented progress Use AI tooling to build automations that collect audit evidence, monitor controls, and draft security questionnaire responses, and report on controls maturity scores Manage annual audit deliverables, write treatment plans, and track completion across teams Answer customer compliance inquiries and maintain customer-facing security and compliance documentation What you need: 3+ years supporting the audit lifecycle for SOC 2, ISO 27001, PCI DSS, or HIPAA in a cloud-based environment Applied security or privacy controls to AI systems or AI vendors, such as model access, data handling, or third-party risk review Built security policies and technical controls into the software dev

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We're looking for a Senior Recruiter to build our go-to-market teams. Vercel is defining what the web looks like in the AI era, and the people you hire will bring it to market. Recruiting is a product here, and building it means automating workflows, rethinking processes, and shipping with the newest AI models and agents, the same ones our engineers use. This is a hybrid role based in New York City or San Francisco, with three days a week in the office. What You Will Do: Run full-cycle searches for all roles you work on, from kickoff with the hiring leader to close. Source candidates: proactively source, manage inbound, utilize your network and referrals to find and close top talent Use AI to ship automations, tools, workflows and resources for yourself and the team Be the expert in the room by utilizing market data, making clear recommendations, and pushing back when there is misalignment Partner directly with our executives and run every search like an executive search. About You: 6+ years of full-cycle recruiting, including go-to-market roles such as sales, field engineering, and/or partnerships Experience hiring sourced candidates from your own direct outreach Proven use of AI tools in recruiting, with measurable speed or quality gains Technical curiosity, a pulse on the market and a bias for action Bonus If You: Build AI tools, agents, or automations that redefined how you operate Recruited for a developer, infrastructure, or frontend company Compensation & Benefits: Competitive compensation package, including equity. Incl

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for an IT Operations Engineer to build and run IT for our New York City office, giving employees fast, clear help with technical issues and automating the fixes for the ones that repeat. You will help us expand from a co-working space into a new New York City office, and you will get hands-on access to the AI tooling used across the company that most IT roles never see, with encouragement to build automations with it. This is an onsite role based in New York City, five days a week in the office. What you’ll do: Build scripts and automations, with AI coding tools, for account setup, device enrollment, and other repeated IT tasks Help employees in the office and remote troubleshoot technical issues, including hardware, software, and network problems, and prioritize requests in the IT ticketing system, keeping employees updated until each one is resolved Set up the network, devices, and audio-visual (AV) and conference room technology for our new New York City office Spot repeated technical issues and automate the fix, manage endpoint devices, user accounts, and access controls, and contribute to technology rollouts and process improvements Set up equipment and accounts for new hires with the Onboarding team, support AV for all-hands meetings and team events, and own IT documentation What you need: 5+ years in IT support or a related field, troubleshooting hardware, software, AV, and network issues Hands-on experience supporting macOS environments, including networking and security Use AI tools daily to write scripts, d

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: You'll own paid acquisition at Vercel across Google, Meta, LinkedIn, YouTube, and emerging channels, with one goal driving the work: scalable, profitable customer acquisition for our self-serve and enterprise motions. This role is built for an analytical, AI-native growth marketer who cares about results, testing velocity, and scale. We want someone who has already wired AI into how they work, building agents, automations, and workflows that let them operate like a much larger team. You'll bring operational rigor to how we launch and scale campaigns, own the systems that make us faster, and turn our acquisition engine into a compounding growth loop. The work sits between strategy and execution, in close partnership with Product Marketing, Lifecycle, Creative, Data, and Marketing Operations, so the right message reaches the right developer or buyer in the right channel. What You Will Do: Paid acquisition end to end across Google Search and YouTube, Meta, LinkedIn, and emerging channels, driving signups, activations, and pipeline Multi-million-dollar annual paid media spend, where you beat ROAS and CAC targets and lower CAC over time AI-driven operating leverage, building agents, automations, and AI-assisted workflows that compress campaign turnaround and scale creative production Creative and audience testing, where you systematically find (and sometimes design) winning creative and audience segments, using AI to generate and iterate variants at high velocity Measurement and attribution, building funnel reports and cohort analyses w

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Okta Identity Governance Team Okta Identity Governance is Okta's Identity Governance and Administration solution, responsible for some of the most critical and visible workflows in enterprise identity: how people request access, how approvers grant it, how entitlements are enforced, and how organizations prove to auditors that only the right people have the right access. Okta Identity Governance is the leading contributor to Okta's new product bookings, and it runs inside some of the largest enterprises in the world — the kind of accounts where a single tenant carries hundreds of thousands of identities across thousands of applications. Quality here is a compliance bar, not just a user experience one. When a governance product has a defect, a company can stay over-provisioned on access it believes it revoked, or hand an auditor evidence that isn't true. The Senior Software Development Engineer in Test Opportunity As a Senior Software Development Engineer in Test, you'll own quality for medium-sized features on your scrum team, and co-own larger ones, from the first design review through release and into production. You'll turn the team's test strategy into test plans, write the automation, and hold the release bar for features that have to work at enterprise scale — long-running certification campaigns, tenants with millions of entitlements, dozens of third-party connectors, and audit records that must be provably correct. You'll work alongside develope

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: Are you looking for an opportunity to join our fast paced and passionate team that supports multiple IT applications built on various technologies with continuous modernization in progress? We are Modern Delivery Tool Chain (MDTC) accountable to lead continuous improvement of operations, operational automation, and high availability for tools. Our Impact: We build and enhance software applications required for mandatory reporting of Freddie Mac’s mortgage loan data to Federal Housing Finance Agency. Partner with Product and Business team members to ensure high quality product is developed and released into production. Work closely with Architecture, Stakeholders, Operations Partners, and Business Product teams to specify and refine solutions and practices. Evolve a DevOps culture to provide high quality, continuous operations, and ongoing support ensuring critical service level metrics, customer requirements and financial objectives. Driver for modernization of Freddie Mac’s 5000+ customers to release small incremental changes to production at 5x pace. Your Impact: Maintain AWS infrastructure and cloud environments to support platform reliability, availability, security, compliance, and operational readiness. Manage Amazon S3 buckets, including access controls, lifecycle policies, storage optimization, data retention, and operational support. Create and maintain CFT and Terraform templates to standardize

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review, and deliver software. We work directly with engineering leaders and hands-on developers to identify high-value opportunities, design and implement AI-powered development workflows, and scale what works across engineering organizations. We turn lessons from these deployments into better products, reusable architectures, and technical patterns that help developers everywhere get more value from Codex. About the Role As an Applied AI Engineer focused on Codex, you will partner directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review, and deliver software. We work directly with engineering leaders and hands-on developers to identify high-value opportunities, design and implement AI-powered development workflows, and scale what works across engineering organizations. We turn lessons from these deployments into better products, reusable architectures, and technical patterns that help developers everywhere get more value from Codex. About the Role As an Applied AI Engineer focused on Codex, you will partner directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review, and deliver software. We work directly with engineering leaders and hands-on developers to identify high-value opportunities, design and implement AI-powered development workflows, and scale what works across engineering organizations. We turn lessons from these deployments into better products, reusable architectures, and technical patterns that help developers everywhere get more value from Codex. About the Role As an Applied AI Engineer focused on Codex, you will partner directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how

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 Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES Ship AI-powered workflows for Compute and C3 : build the agents and automations that give capacity analysts, ops leads, an

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review, and deliver software. We work directly with engineering leaders and hands-on developers to identify high-value opportunities, design and implement AI-powered development workflows, and scale what works across engineering organizations. We turn lessons from these deployments into better products, reusable architectures, and technical patterns that help developers everywhere get more value from Codex. About the Role As an Applied AI Engineer focused on Codex, you will partner directly with leading engineering organizations to design, build, and deploy AI systems that transform how software is developed. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from workflow and use-case selection through prototyping, evaluation, production rollout, and scaled adoption. You will work alongside engineering teams to build advanced AI coding workflows, integrations, automations, and evaluation systems—often using Codex itself as part of your development process. You will help customers make technical decisions involving model behavior, agentic workflows, developer environments, security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real-world deployment experience into high-signal product and model feedback. Success is measured by production systems, sustained developer adoption, and meaningful improvements to how

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: Are you looking for an opportunity to join our fast paced and passionate team that supports multiple IT applications built on various technologies with continuous modernization in progress? Then read on! We are the Modern Delivery Tool Chain (MDTC) team accountable to lead continuous improvement of operations, operational automation, and high availability for tools. Our Impact: We build and enhance software applications required for mandatory reporting of Freddie Mac’s mortgage loan data to Federal Housing Finance Agency. Partner with Product and Business team members to ensure high quality product is developed and released into production. Work closely with Architecture, Stakeholders, Operations Partners, and Business Product teams to specify and refine solutions and practice. Evolve a DevOps culture to provide high quality, continuous operations, and ongoing support ensuring critical service level metrics, customer requirements and financial objective. Driver for modernization of Freddie Mac’s 5000+ customers to release small incremental changes to production at 5x pace. Your Impact: Design, build, and maintain CI/CD pipelines for microservices on AWS EKS and OpenShift, ensuring high-quality, reliable, and efficient software delivery. Implement and manage Infrastructure as Code (Terraform, AWS CloudFormation) for AWS resources, including S3 buckets, MongoDB, and PostgresDB. Manage secrets and credential storage using HashiCorp Vault, AWS Secrets Manager, and CyberArk, with a focus on security and compliance. Deploy and manage container