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About the Team OpenAI is building the next generation of advertising for an AI-powered world. As AI changes how people discover information, explore possibilities, and make decisions, we believe this presents a huge opportunity for small and medium-sized businesses to connect with customers in new ways. The SMB Ads Marketing team is building this opportunity from the ground up. We define how businesses discover OpenAI’s advertising platform, become successful advertisers, and grow their investment over time. Working closely with Product, Ads Engineering, Data Science, and Sales, we combine customer insight, rigorous experimentation, and fast execution to turn early opportunities into scalable growth. About the Role We are hiring a Lead, Ads Prospecting & Growth Intelligence to build the intelligence and orchestration platform powering OpenAI’s ads business. This person will help us identify the right companies and people, understand why they are relevant, determine the right next action, and learn from what happens afterward. Own the prospecting function for the ads business, serving SMB Ads while building a foundation reusable across segments. Set the vision, operating model, roadmap, platform choices, business rules, adoption, and outcomes; and partner with Ads Engineering, Data Science, and internal platform teams. Decide what to build in-house, enable through internal platforms, or deliver through selected vendors and partners. In This Role, You Will Lead the function’s strategy, roadmap, operating model, and adoption. Connect platform investments to measurable advertiser and business outcomes. Define a unified prospect, account, contact, and advertiser data model. Establish standards for identity, data quality, provenance, freshness, confidence, and consent. Combine market, intent, behavioral, product, CRM, campaign, and customer-success signals to improve targeting and customer engagement. Design enrichment and verification workflows. Evaluate in-house cap

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

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 the Team The Fraud Partnerships Pod is responsible for overseeing all traditional business development and partnerships for the Anti-Fraud Product Area (PA) at Plaid, focusing primarily on our product partnerships and data acquisition (supply side) efforts. The team supports all products under the Fraud Product Area's purview: IDV, Monitor, Layer, and Protect. About the Role You will have an opportunity to lead the strategy and execution of our supply side and "data in" efforts for our Fraud product area across four products (Plaid IDV, Monitor, Layer, and Protect). You will own all critical data partner relationship management with key stakeholders and be expected to grow them over time. You will be the internal quarterback driving alignment with key major internal stakeholders at Plaid, including Finance, BizOps, Commercial, Legal, and Risk. What You'll Do Spend the majority of your time working hand in hand with product leadership as well as other cross-functional leaders to operationalize our data partners for all fraud products at Plaid. Help our data science and research teams define the source data ecosystem for IDV and Protect according to our 3-year strategy. Help e

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 an Enterprise Account Executive at Vanta, you will play a critical role in expanding our footprint in the Enterprise segment through net-new logo acquisition. This is a high-impact role focused on a land and expand model, requiring a results-driven seller capable of closing 5+ six-figure opportunities per quarter. You’ll be joining a team that is building and scaling our upmarket motion, and you’ll help shape Vanta’s strategy and execution in some of our most strategic segments. This role requires someone who is equally confident navigating complex deals independently and working cross-functionally with product, engineering, and the channel. Success in this role means driving full-cycle deals from prospecting through close - both directly and through partners. At Vanta, our mission is to help businesses earn and prove trust. We believe security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. The ideal candidate for this role at Vanta has prior security or adjacent domain experience. We’re growing quickly, continually outpacing our targets and leading the market in compliance and security. If you’re excited by the opportunity to drive strategic, high-value deals and work in a fast-paced, high-growth environment—we’d love to hear from you. What you’ll do as an Enterprise Account Executive at Vanta: Own and drive net-new business acquisition within the Enterprise segment Close 5+ six-figure opportunities per quarter, managing the full sales cycle from initial outreach through contract execution Build and maintain a strong pipeline through outbound prosp

About the Team The ChatGPT organization at OpenAI supports our mission by bringing advanced AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent advances in our multimodal image models have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering, unlocking entirely new creative and professional workflows. We work at the intersection of research, infrastructure, and product to build the systems that power image generation at global scale. Our team partners closely with researchers, product engineers, designers, and platform teams to bring state-of-the-art image capabilities to millions of users while continuously pushing the boundaries of what AI-powered creation can do. About the Role We are looking for an experienced Backend Engineer to join the Image Generation team and help build the systems that power image creation and editing across ChatGPT. You'll work on the core backend infrastructure that enables users to generate, edit, and iterate on visual content using cutting-edge multimodal AI models. This includes building highly scalable services, orchestration systems, APIs, storage platforms, and distributed infrastructure that support billions of image generations and editing workflows. You'll partner closely with product, research, and mobile teams to transform breakthrough AI capabilities into reliable, performant experiences used by millions around the world. In this role, you will: Design, build, and operate backend systems that power image generation and image editing experiences in ChatGPT. Develop scalable APIs, services, and infrastructure that support multimodal AI workflows. Optimize reliability, latency, throughput, and cost across large-scale distributed systems. Partner with researchers to productionize new im

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 the Team At Embedded Insights, we find the best machine learning opportunities for external products and internal systems, and collaborate with cross-functional partners to bring them to life. We are a central team of Machine Learning Engineers and Data Scientists. We embed with partner teams to build and apply machine learning models that improve internal decision-making and power the Plaid product suite. About the Role You will be the first Data Scientist on the Embedded Insights team, part of Plaid’s Data organization. You will establish the analytics and metrics backbone for a team supporting a diverse set of internal and external products. You will help drive better decision-making, support machine learning model development, and contribute directly to the health of the Plaid network and the quality of Plaid’s products. Your day-to-day work will include: Analyzing entities across the Plaid network to understand behavior and identify opportunities, anomalies, and risks. Creating foundational metrics, dashboards, and monitoring systems that provide a clear view of network health and machine learning model performance. Evaluating the value and performance of machine learni

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 Compliance team is responsible for ensuring Compliance at Plaid with all the laws and regulations that apply to us, as well as our internal policies. We help make sure Plaid stays within the bounds of our legal obligations, and partner with business stakeholders to build processes and systems to demonstrate our compliance. Role Description As a GTM Compliance Analyst, you’ll help Plaid evaluate and onboard customers in a way that supports growth while protecting the company from regulatory and compliance risk. You’ll review prospective and existing customer deals, assess customer business models and use cases, conduct risk-based diligence, and determine when additional conditions, approvals, or escalations are needed. You’ll work closely with Sales, Account Management, Legal, Product, and Customer Oversight to translate complex requirements into practical guidance and keep deals moving. You’ll also help build the playbooks, workflows, and reporting needed to make GTM compliance more consistent and scalable as Plaid expands into new products, customer segments, and regulated use cases. Responsibilities Review prospective and existing customer deals for regulatory, licensing, po

About the Team The Emerging Products team is a lean, high-output product lab group that builds products at the forefront of model capabilities. We collaborate across all teams within the company, from research and infrastructure to consumer products. The team is responsible for identifying new product opportunities, building them quickly, dogfooding them internally, and then launching the successful products to users. We use data, user research, and analytics to inform our ideas, and make decisions on what experiments are worth iterating, stopping, or scaling. About the Role We’re looking for a senior, product-minded software engineer to own ambiguous 0-to-1 work from idea through prototype, validation, and handoff. This is a full-stack role with a strong frontend and product emphasis: you will build the interfaces and supporting backend systems needed to test new experiences quickly, while making sound architectural choices that enable successful concepts to scale. This role is based in our Mission Bay office in San Francisco. In this role, you will: Build and ship high-quality, product experiments across the full stack. Turn ambiguous user needs and emerging technical capabilities into testable product concepts, using research and metrics to guide iteration. Own technical direction for 0-to-1 projects, balancing speed, reliability, and a clear path from prototype to scalable product. Partner closely with design, product, research, and engineering teams to dogfood, evaluate, launch, and transition successful experiments. You might thrive in this role if you: Have a track record of building and shipping end-to-end products in fast-moving, startup, founder-led, growth, or other high-ownership environments. Bring strong frontend engineering skills and enough backend and systems depth to make sound full-stack architectural decisions. Pair product intuition with evidence, using user research and product data to identify opportunities and make pragmatic tradeoffs. Operat

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 the Team The Workplace Experience (WPE) team is responsible for shaping the employee experience at Plaid, ensuring that our workspaces, events, and cultural touchpoints drive connection, collaboration, productivity, and engagement. Within WPE, the Events & Experiences team brings Plaid's culture to life by designing and executing programs that foster belonging and engagement across both in-office and distributed environments. The team curates a wide range of experiences—from flagship company-wide gatherings to in-office celebrations, DEIB initiatives, virtual events, and milestone moments. They also lead Plaid's in-person onboarding, ensuring every new hire has a meaningful, high-impact introduction to our culture, values, and ways of working. About the Role We're looking for an Onboarding Coordinator to join our Employee Experience team in San Francisco. You'll help create a warm and seamless welcome for new Plaids by coordinating onboarding logistics, supporting new-hire travel, answering questions, and assisting with in-person sessions. You'll also support employee events and programs that help Plaids feel connected, valued, and engaged. What You'll Do Onboarding Help

About the Team The ChatGPT organization at OpenAI supports our mission by building products that bring cutting-edge AI capabilities to hundreds of millions of users worldwide. The Image Generation team is responsible for one of the fastest-growing experiences in ChatGPT, enabling users to create, edit, and transform images through natural language. Recent advances in our multimodal models have dramatically improved image quality, instruction following, editing precision, consistency, and text rendering, unlocking entirely new creative and professional workflows. We work at the intersection of research and product, partnering closely with researchers, designers, product managers, and platform engineers to bring state-of-the-art image generation capabilities to life across ChatGPT and our mobile applications. Millions of users rely on these experiences every day to create, communicate, learn, and build. About the Role We are seeking an experienced Android Software Engineer to build and improve image generation experiences within the ChatGPT Android app. You will help define how users create, edit, and interact with visual content powered by the latest multimodal AI models. This is an opportunity to work on a highly visible product area, translating cutting-edge AI capabilities into intuitive, performant, and delightful mobile experiences used by millions around the world. ChatGPT's Android app already enables users to generate and transform images directly from their devices, and we're just getting started. In this role, you will: Build and ship new Android features that power image generation and image editing experiences. Create intuitive user experiences that make advanced AI capabilities feel seamless and accessible. Collaborate closely with Product, Design, Research, and Engineering teams to bring new multimodal capabilities to production. Drive improvements in app performance, reliability, architecture, testing, and developer tooling. Optimize media-heavy workfl

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: Design, build, and operate the distributed storage system that feeds model training and evaluation. Run this system multiple on Kubernetes clusters at petabyte scale. Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: Strong storage fundamentals,

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role Sentry is looking for an Engineering Manager to lead our Growth team (internally called "Value Discovery") and help expand our product-led business by helping customers discover and get the most out of our platform. At Sentry, we do growth with an explicit bias for customer value. Our experiments are rooted in strong product sense and empathy for developers, not conversion pressure. We never surprise developers with new charges or push features they don't need. In a binary tradeoff between doing good by the customer or good by the business, the customer always wins. You'll collaborate closely with several areas of the business including Product, BizOps, Data, Design, and GTM to identify the moments in a developer's workflow where Sentry can deliver more value, make that value easier to find, and support that your approach works with data. In this role you will You'll lead a team of engineers, set its priorities, and be accountable for the metrics it moves. This is a new role, and the roadmap is yours to define and execute in partnership with design and data teams. Lead work across Sentry's self-serve funnel — signup and onboarding, first-run activation moments in-product, trial and upgrade paths, and pricing and billing surfaces in partnership with the Billing team — largely in our Python/Django and TypeScript/React codebase Evolve our experimentation foundations, in close partnership with our Data team — flagging, instrumentation, and readouts are real but far from finished Run a fast, disciplined experimentation loop where hypotheses are argued before they're built Hold conversion and activation alongside ch

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Youth team is focused on making AI safe, useful, and empowering for young people. Our work spans foundational protections—including age assurance and always-on safety—as well as new learning and education experiences. We’re also exploring how OpenAI’s technology can support K–12 schools, educators, classrooms, and collaborative learning. About the Role We’re looking for a staff-level product designer to shape how young people safely engage with AI and help define OpenAI’s emerging education experiences. You’ll work across immediate product needs and ambitious zero-to-one opportunities, from age-appropriate safety systems to tools for learning and group work. A high craft bar is imperative. You’ll be expected to pair exceptional interaction and visual design with deep product thinking—turning complex questions around safety, learning, and institutional needs into experiences that feel clear, trustworthy, and engaging. This is a highly generative role for someone who can move from early exploration to concrete, high-fidelity product direction. You’ll partner closely with product, engineering, research, safety, policy, and design to establish durable patterns for a space that is still being defined. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role you will: Establish an exceptionally high standard for craft across OpenAI’s youth and education experiences. Lead end-to-end design for products that help young people use AI safely, confidently, and productively. Design clear, age-appropriate experiences for safety, age assurance, and other sensitive or high-trust interactions. Shape zero-to-one K–12 experiences spanning school districts, educators, classrooms, collaborative work, and builder-style workflows. Turn emerging ideas into compelling concepts, prototypes, and high-fidelity product experien

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role In an AI-native environment, the product shifts fast, new workflows emerge weekly, and customers and internal teams surface needs in real time. Someone has to meet those needs at the speed they arise. That's this role. As a lead learning experience designer, you'll own a fast-paced, high-volume learning design track focused on short, targeted, just-in-time courses — typically 15–45 minutes each, built in sprints of three weeks or less, shipping roughly 15+ courses per year. You'll build focused one-off courses that plug specific gaps: a new workflow, a role-specific skill, a tool that just shipped, an AI topic that can't wait for the next curriculum cycle. These courses are standalone, purpose-built, and often shorter-lived — responding to the moment. You'll work both proactively (scanning for emerging needs) and reactively (fielding requests from across the company and from customers). The pace is fast, the iteration cycles are tight, and the environment is dy

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Design Systems team creates the foundations that help teams across OpenAI build coherent, high-quality experiences at scale. Accessibility is fundamental to that work. We’re building the shared standards, components, tools, and practices that make inclusive experiences the default across OpenAI’s products and platforms. About the Role In this role, you’ll lead OpenAI’s company-wide accessibility program from within Design Foundations. You’ll pair strategy and organizational influence with hands-on product design—advocating for disabled people, removing barriers across complete customer journeys, and establishing durable ownership throughout the company. This is an opportunity to define accessibility for a new generation of products spanning web, mobile, desktop, voice, AI, and hardware. You’ll help teams consider the many ways people perceive, understand, navigate, and interact with technology, going beyond minimum compliance to create experiences that are genuinely useful and inclusive. Working across design, engineering, research, product, go-to-market, and legal, you’ll make accessibility an expected part of product quality—not a final review or the responsibility of a single expert. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role you will: Define OpenAI’s accessibility strategy, roadmap, governance, priorities, and measures of progress. Design and ship accessible experiences while identifying systemic barriers across complete customer journeys. Build accessibility into our design system through inclusive components, tokens, interaction patterns, Figma libraries, documentation, and engineering guardrails. Center disabled people through participatory research, usability studies, and assistive-technology testing rather than relying solely on assumptions, simulations, or automated tools. Des