Consumer Products And Surfaces Director in United States

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. The Consumer Apps Consoles team owns the console app foundation that makes Roblox feel fast, fluid, and reliable for millions of players and is dedicated to delivering superior performance, reliability, and user experience on PlayStation and Xbox. As a Senior Software Engineer on the Consoles team, you'll be a driving technical force — leading complex client work end-to-end, raising the quality bar across our codebase, and partnering closely with product, design, and platform teams to ship experiences that are polished and performant at scale. You Will: Shape & improve the PlayStation and Xbox experience that millions of players see every day Translate ambiguous product ideas into well-scoped, high-quality engineering plans in close partnership with product, design, and data science. Raise the engineering bar through rigorous code review, proactive mentorship of junior engineers, and the standards you set in your own code. Drive platform-level investments that benefit the broader engineering organization. Work with our Xbox and PlayStation counterparts to ensure feature parity and platform-specific excellence. You Have: 5+ years of experience building and shipping client software, with

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with retail and consumer businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of Retail customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. Partner with Acco

Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Build and maintain the load, chaos and synthetic-testing software leveraged by development teams to make the systems they design and operate more reliable. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Build and maintain the platform for CPU, storage, GPU, and network lifecycle management to drive efficiency, accountability and dynamic optimization of our resources. Implement fault-tolerant and resilient design

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, Washington D.C., London and Amsterdam. Plaid Support ensures our customers' applications can help their consumers live their best financial lives by ensuring our products continue to operate as expected. We investigate the root cause of integration issues, quantify their scope and impact, and when we can’t fix them ourselves, we work with our Growth and Engineering teams to reach a solution. As we continue to grow, we’re looking for Technical Support Engineers (TSEs) to join the team to help us balance the needs of customers, users and internal stakeholders, while navigating critical technical issues. In this role, you will manage issues from their first symptom to their eventual resolution, communicating with our customers and internal stakeholders throughout the process. People who succeed in this role tend to be empathetic, collaborative, technically minded, and most importantly - customer-centric. They have an interest in learning more about financial services, and are excited to help customers resolve complex issues. TSEs work closely with Plaid’s product and engineering teams, and we have a high technical bar to ensure that we all speak the same language. Our Support team sets aggressive goals to meet the standards our customers ex

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences to turn frontier research capabilities into reliable products. The team connects product usage and failure patterns with research, evaluation, data, inference, capacity, and external partnerships so that model and product improvements translate into better experiences for users. About the Role We are seeking a Technical Program Manager to build the flywheel that helps ChatGPT multimodal products learn from real-world usage and improve quickly. You will lead programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, multimodal capacity planning, and complex cross-functional dependencies for voice and image-generation launches. You will work closely with product engineering, research, Human Data, inference and capacity teams, safety partners, and external vendors or product partners. Success requires technical depth, strong systems thinking, comfort with ambiguity, and the ability to turn fragmented or manual work into durable mechanisms that teams adopt. 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: Build a system for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes. Establish and maintain evaluations for the highest-priority multimodal behaviors and use cases, with clear coverage, quality standards, and ownership. Package production signals into decision-ready data and

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. The Fraud Data team at Plaid builds the machine learning systems that power Plaid’s fraud detection products, leveraging insights from across Plaid’s network to help identify and stop fraud before it happens. Our team works across the full data science and machine learning lifecycle—from discovering new signals and experimenting with models to deploying and optimizing them in production. We continuously learn from real-world model performance and customer feedback to improve our systems and develop new ways to protect customers and consumers from evolving fraud threats. As a Senior Machine Learning Engineer on Plaid's Fraud Data team, you will develop models that improve fraud detection for our customers. You will identify predictive patterns in Plaid's network data and lead projects from initial experiments through model deployment and ongoing improvement. Investigate fraud patterns and model errors to identify new signals, improve detection, and expand coverage across customers and use cases. Develop training datasets and predictive features, addressing challenges such as incomplete labels, class imbalance, data leakage, and changing fraud behavior. Design, train, and tune model

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT infrastructure team is responsible for ensuring that our products can serve rapidly growing demand with the performance, reliability, and quality our users expect. This work sits at the intersection of product demand, model deployment, inference, research, fleet, and capacity. The team translates changing product and model needs into clear capacity decisions and safe, scalable launches. About the Role We are seeking a Technical Program Manager to lead the operating system for Chat capacity and model deployment. You will connect demand forecasting and capacity allocation with model readiness, rollout planning, launch coordination, and post-deployment learning. You will also own mode deployment beyond capacity by working with cross functional teams across research, post-training, inference and product to own mainline model deployment. You will bring structure to constrained-capacity decisions, improve the tooling and mechanisms teams use to prioritize demand, and help new models reach users safely and efficiently. Success requires technical depth, sound judgment under ambiguity, and crisp execution across product, research, infrastructure, and operations teams. 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: Own cross-functional programs for Chat capacity forecasting, allocation, headroom planning, and constrained-capacity operations. Build durable intake, prioritization, and decision mechanisms that connect product demand and model requirements to available serving capacity. Partner

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. At Plaid, our mission is to empower innovators by delivering access to the financial system. Since 2012 we've helped tens of millions of consumers live a better financial life and thousands of customers build a new financial future. We work with companies like PayPal, Rocket, H&R Block, and many of the largest banks in the US to make it easy for consumers 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, Raleigh, Washington D.C., London and Amsterdam. The Account Management team in Plaid’s Enterprise Segment leverages deep product and industry expertise to help our customers build and scale technology solutions. We act as partners, advisors, and advocates for our customers to help shape how consumers interact with their finances. As an Enterprise Account Management Lead, you’ll be responsible for managing the team of senior account managers who are growing the revenue from the Enterprise customer base, as well as setting the vision and strategy to build long-term

About 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—trillions of data points per day—allowing for 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. The Team: The Revenue Data Engineering Teams designs, builds and runs the data pipelines and helper systems to accurately and in a timely manner quantify our customers’ usage across all Datadog products. This team is at the leading edge of any new product we release. The Revenue Data Processing team builds and operates the data pipelines that does billing, and cost attribution for all Datadog products. We process terabytes of data daily to power revenue-critical systems and are at the center of every new product launch at Datadog. As a Senior Software Engineer, you will own meaningful parts of a large-scale, mission-critical processing platform — driving architectural improvements, building new billing capabilities, and maintaining the high reliability bar our downstream consumers depend on. You Will: Design and build high-throughput data pipelines for billing and cost attribution Drive platform improvements — latency reduction, Spark optimization, sharding, and cross-datacenter reliability Own root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams Contribute to new billing features Work across Python and Scala, with technologies including Spark, Airflow, Trino, and Apache Iceberg Participate in on-call rotation and maintain a high reliability bar for production systems Contribute to engineering standards and help grow the technical culture of the team You Are: You have significant experience building and operating production data pipelines at scale using Spark and Airflow

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 We're looking for a Product Engineer to join as an early member of our new Enterprise team. The consumer story has demonstrated Replit’s magic and now we are seeing use cases emerge in the B2B space that are ripe for innovation and growth. It is a critical area for our success this year and beyond. You can be part of the journey to build and scale features that help teams and organizations of any size be more productive with Replit. This is an opportunity to make meaningful impact and shape the culture and processes from the ground up. Working closely with cross-functional teams including product managers, designers, and AI engineers, you'll craft solutions that enable our customers to build, deploy, and share their applications seamlessly. This role requires both technical expertise and a deep understanding of user needs to deliver features that make an impact. In this role you will: Build and own features across the full stack that serve enterprise customers, from backend services to user-facing interfaces Design and implement scalable solutions for teams and organizations. This includes enterprise-readiness features like authentication, permissions, security, and compliance, as well as tools that improve team collaboration and drive adoption within an organization. Work directly with customers to understand their needs and iterate on solutions Contribute to technical decisions and architecture for the Enterprise platform Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality experiences Mentor other engineers and raise the bar for engineering excellence Ship quickly and iterate based on customer feedback and usage data Required skills and experience: Strong full

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, Washington D.C., London and Amsterdam. Plaid’s go-to-market Partnerships team drives growth by building and scaling relationships with strategic partners. Through integrations, these partners help extend Plaid’s Credit, Lending, and Banking solutions to more businesses and consumers. Partner Marketing plays a critical role in this ecosystem, enabling partners to attract, engage, and onboard customers at scale—making it one of the most effective levers for accelerating growth across Plaid’s partner network. We're looking for a Partner Marketing Manager to own the design and execution of joint marketing programs with Plaid's partners. This role is responsible for translating business objectives into clear GTM plans — covering propositions, launches, campaigns, enablement, and performance measurement — and acting as the primary marketing contact for partners across key product areas. Sitting within the Growth Marketing organization, you'll report to the Customer & Partner Marketing Lead and work alongside the Partner Marketing Manager. This is a high-impact, highly collaborative role for someone who enjoys building strong partner relationships, influencing across teams, and turning complex product positioning into compelling marketing t

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, Washington D.C., London and Amsterdam. About the Team: The Security Governance, Risk, and Compliance (GRC) team is part of Plaid’s security organization, focused on enabling the business by proactively managing information security risks and maintaining effective controls. Our mission is to reduce the likelihood and impact of security risks while operating a robust assurance program that builds trust with our customers, consumers, and data partners. We partner closely across the company to ensure Plaid’s platform remains secure, resilient, and aligned with industry and regulatory expectations. The Security Contracts workstream is a core part of our Security Assurance and Trust Enablement program — ensuring Plaid's contractual security obligations with customers and data partners are defensible, consistent, and never a bottleneck to deal velocity, all while building trust. About the Role You will own Plaid’s Security Contracts workstream end-to-end—the DRI for how security contract reviews get done, how fast they move, and how the program improves over time. You will review security provisions in customer MSAs, DPAs, and security addenda, identify unacceptable clauses, and provide Legal and GTM with the actionable security feedback they n

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, Washington D.C., London and Amsterdam. Plaid is looking for customer-facing professionals to manage and grow Plaid’s relationships with high-growth SMB customers. The right candidate has the ability to grow a customer’s revenue, build strong partnerships with their customers, develop a deep understanding of their priorities, motives and key drivers, and is solutions oriented. You will be the primary point of contact for your customers and will work with them on all stages of integrations, scaling, driving adoption, product expansion, and account management. You will be responsible for working directly with key stakeholders ranging from developers to executives to help them create the applications that will empower businesses and consumers with their financial data. Responsibilities Own the overall relationship with your portfolio of customers in our fastest growing customer segment Build relationships with the C-Suite and Product teams to retain and grow revenue Own revenue targets, which includes identifying and closing new upsell opportunities and leading commercial negotiations for contract renewals Help customers integrate and launch on Plaid Solve complex customer challenges through creative problem solving by working cross-function

Job Title Demand Planner, Supply Chain, Personal Health (Stamford CT) Job Description 589964 Demand Planner, Supply Chain, Personal Health (Stamford, CT) As a Demand Planner, Supply Chain, Personal Health, you will lead the development and execution of the demand planning process, leveraging data, market insights, and cross-functional collaboration to improve forecast accuracy, optimize inventory, and support strategic business decisions. Your role: Lead and optimize the end-to-end demand planning process, developing accurate and timely forecasts that incorporate market dynamics, consumer trends, customer insights, and business objectives across assigned product categories. Partner closely with sales, marketing, supply chain, and other cross-functional teams to drive consensus demand planning, align supply and demand, and ensure demand plans are updated in support of business planning cycles and strategic decision-making. Develop and refine demand planning models, tools, and analytical frameworks, leveraging advanced analytics and machine learning to improve forecast accuracy, anticipate demand fluctuations, and optimize inventory management. Analyze internal and external data and key performance indicator trends to identify risks, supply chain disruptions, and process improvement opportunities; develop and implement solutions that improve operational efficiency and customer satisfaction. Drive continuous improvement across the demand planning function by implementing demand planning systems and emerging technologies, establishing best practices, and supporting talent management activities including selection, performance management, career development, and day-to-day operational leadership. You're the right fit if: You’ve acquired 3+ years of experience with a Bachelor’s degree or 1&#4

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . What We're Looking For: 2–4 years of program or project management experience (or equivalent), ideally touching infrastructure, platform, or cloud environments. Working knowledge of cloud platforms (AWS or similar) — compute, storage, and basic usage/cost concepts. Interest in, and some exposure to, capacity management and infrastructure efficiency (right-sizing, utilization, waste reduction); deep FinOps expertise is not required. Strong organizational and execution skills: able to track a program's moving pieces, follow up, and keep things on schedule. Clear written and verbal communication; comfortable presenting status and asks to engineering partners. Collaborative and coachable — works well with engineers and more senior TPMs, seeks input, and takes feedback well. Experience at a large-scale consumer tech or infrastructure organization is