Safety And Risk Officer Jobs

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. About this role Okta’s Brand and Creative team is looking for a Brand Designer to own the visual voice of Okta across our social media presence, from LinkedIn to YouTube. This is our first dedicated creative hire for social, and you will set the creative standard for how Okta shows up in the feed. Embedded day to day with our Social team, you will design at the speed of culture, turning complex identity and security stories into content people stop for, engage with, and share. Our audience is senior, technical, and skeptical, made up of the leaders and practitioners responsible for security and identity. Much of what we make is in service of "Okta Secures AI," our story about securing identity in the agentic era, which also spans the humans and machines behind it. Your job is to make that story impossible to scroll past, expressing it with simplicity and a point of view that earns attention. You think in native formats and recognizable creative wrappers, and you know how to stretch the brand while keeping it unmistakably Okta. You are equal parts designer and cultural antenna, with a strong point of view on why content works and the speed to move from idea to published asset. What you will do&lt

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. Position Description As the Community Content Strategist you will build and execute the content strategy that elevates our Okta and Auth0 customer communities into an authoritative destination for identity and security experts. Working closely with the Customer Content, Social Care & Advocacy, and Community Engineer teams, you will turn real-world community expertise and discussions into high-quality content that drives engagement, supports generative search discoverability, and surfaces GTM intelligence across the business. Job Duties and Responsibilities Own content strategy and programming: Identify, cultivate, and publish expert-driven content that elevates community voices and builds trust across the Okta and Auth0 communities. Design and run the content programs (e.g. technical deep-dive series, AMAs and member features) that drive meaningful engagement, establish the community as an authoritative destination, and position our most knowledgeable members and internal experts as credible voices in the identity and security space. Identify and cultivate Community Champions : Ensure C

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 . Pinterest's Data Privacy Engineering team builds access control, auditing, and data handling services and solutions used across the company to power Pinterest experiences. AI is transforming how software is built, data is analyzed, and users interact with software. We're looking for a Senior Engineer based in Dublin to help build the next generation of Data Privacy solutions for AI platforms, ensuring agents interact with data responsibly and transparently. What you’ll do: Design services and processes used to safely onboard new AI use cases Create isolated environments to enable secure agent-driven data processing without direct data exposure Design and maintain an auditing pipeline to monitor and log all AI sandbox data egress Collaborate cross-functionally with engineering teams across Pinterest to identify and tackle new data privacy c

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Enterprise Foundations is the engineering team responsible for the architectural and integration work that allows Instacart's Retailer Platform to scale across the world's largest grocers. Our work spans omnichannel integrations — bringing products like FoodStorm catering and Caper Carts onto unified Instacart platform rails — enterprise extensibility (sandbox environments, configuration systems, retailer-facing tooling), and the cross-cutting data isolation work that allows Instacart's ML and Data Engineering teams to safely build per-retailer models on top of the platform. As Instacart's enterprise retail business expands to hundreds of partner brands and new international markets, this team's work is foundational to how the platform matures. We are seeking a Senior Engineering Manager to lead this team of ~12 engineers. You'll set the unifying technical

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the Role & Team The Cryptographic Services & Infrastructure team secures and manages cryptographic keys and enables Robinhood engineering teams to safely leverage core capabilities like encryption and decryption. Join a high-impact team responsible for protecting some of Robinhood's most sensitive financial and customer data! In this role, you will help build and operationalize Robinhood's new in-house card-processing service—a critical initiative that brings core capabilities in-house and offers meaningful ownership across software, infrastructure, security, and operations. While prior cryptography or security experience is highly preferred, we are excited to empower strong engineers with a passion for security to learn and grow their skills on the job. This role is based in our Bellevue, WA and Menlo Park, CA offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do day-to-day Design, build, and maintain production services and infrastructure supporting key management, encryption, and decryption functions. Help architect, launch, and scale Robinhood’s new in-house card-processing environment to protect sensitive card, financial, and tax-related data. Write clean, maintainable production code and build operational tooling across software, infrastructure, and security controls. Collaborate with internal engineering teams to support migrations, drive adoption of

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Support Experience group develops and applies technology at all points of the user support journey to solve customer problems at scale, keeping millions of businesses running and unlocking growth across Stripe’s product suite. What you’ll do The rise of AI agents has fundamentally changed how users interact with Stripe, with a supermajority of conversations with Stripe now occurring via AI across various surfaces including third-party platforms. These conversations now blend planning, building, configuration, and troubleshooting. As a Product Manager for Support Experience, you will be responsible for building the platform that enables Stripe’s user-facing AI agent to solve problems across the Stripe product suite. You’ll develop rapid AI-powered feedback loops that enable product teams across Stripe to continuously improve the conversational experience of their users and build the infrastructure to enable powerful and flexible conversational experiences to run in diverse properties such as Stripe’s merchant dashboard, consumer apps, and experiences mediated by third-party agents. You’ll be at the forefront of applied AI, solving problems for businesses and consumers, and redefining what great can look like. Responsibilities Create the home for product teams to safely build out, understand and improve their conversational experiences. Build feedback loops from conversations through improvement recommendations to generating ev

Who we are About Bridge We're creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. We have a small team of people who have previously built financial infrastructure at some of the world's leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb), and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement. About the team Join our Product team to build the systems that make global, programmable money trustworthy at scale. At Bridge, we're not just improving global payments—we're reinventing how money moves across borders using stablecoins and modern financial infrastructure. As a Product Manager for Compliance, you'll own the products and systems that allow Bridge to scale safely across geographies, partners, and transaction volumes. You'll work at the intersection of product, engineering, data, compliance, and operations to design customer compliance systems that are fast, adaptive, and deeply embedded in how our platform works. This role is about enabling high-velocity growth with strong controls—using real-time decisioning and thoughtful product design to move fast without cutting corners. What you'll do Responsibilities Own the core compliance control plane by defining and delivering the unified API and self-service pl

About the Team API Agents builds the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems that can reliably complete real work. We carry the capabilities behind Codex into a much broader set of products and workflows across software engineering, research, finance, healthcare, enterprise operations, and more. Our work spans search and connected context, computer use, memory, delegation and multi-agent coordination, and safe execution. Sitting at the intersection of Research, Codex, infrastructure, and applied product teams, we build reusable agent capabilities that compound across the ecosystem. About the Role We are looking for an experienced backend software engineer to build the core systems behind the next generation of agents. You will design reliable services and abstractions that help agents find the right context, use tools and computers, retain knowledge, coordinate over long-running workflows, and take action safely. The role combines deep backend and infrastructure work with strong product judgment, with opportunities to work across agent runtimes, orchestration, search, execution environments, identity and permissions, observability, and evaluations. This is software and systems engineering rather than model training: success comes from strong backend fundamentals, high agency, and the ability to turn fast-moving research capabilities into dependable production primitives. In this role, you will: Design, build, and operate the shared agent harness and backend infrastructure that power long-running, high-value workflows across OpenAI and third-party products. Build reusable capabilities across search and connected context, computer use, memory, tool execution, delegation, subagents, and multi-agent orchestration. Establish the foundations agents need to operate safely in production, including secure execution environments, identity and permissions, observability, evaluations, reliability, and cost and latency effi

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. The social team helps bring OpenAI’s work to people around the world, translating complex ideas into clear, accessible, and timely content and stories across platforms. The team supports OpenAI’s mission by helping people understand how to use AI in practical, meaningful ways, while clearly and authentically communicating our technology, values, and approach to safely building powerful AI. About the Role Do you want to be one of the people behind the @ChatGPT handle on Linkedin? We’re looking for a smart and accomplished Social Media Manager (IC) to drive and manage long-tail evergreen educational social content primarily around OpenAI products on Linkedin and YouTube from the @ChatGPT and @OpenAI accounts. This role sits at the intersection of AI, education, product storytelling, and social media. You'll help shape how people around the world understand and adopt one of the fastest-growing technologies in history. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week. In this role, you will Work closely with cross-functional teams to brief and create evergreen content related to OpenAI products like ChatGPT and Codex Craft and execute social strategy and content to encourage and sustain product adoption Partner with product, marketing, and creative teams to develop educational social content that helps people understand and adopt OpenAI products. Monitor and report on product usage trends and conversations across social Balance the requests of many teams while ensuring content goes out accurately and on time Synthesize and communicate complex topics in clear language tailored for different audiences You might thrive in this role if you 7+ years of professional experience in social

The ChatGPT Finances team builds experiences that help people connect their financial accounts, understand their financial picture, and ask useful questions about their finances through ChatGPT. Our work spans account connectivity, data ingestion, dashboards, personalized insights, and conversational experiences. We collaborate across product, design, research, infrastructure, security, and data integrations to make complex financial information understandable and actionable. This is an early and ambitious product area with a substantial roadmap. We are looking for engineers who want to shape both the first user experiences and the durable systems required to earn and keep users’ trust. About the role We’re looking for full-stack product engineers to build and scale ChatGPT Finances. You will own features across the stack—from polished frontend experiences to the APIs, services, and data models that power them. This role is well suited to engineers who combine strong product judgment with broad technical depth. You should care about how quickly users can understand their financial lives, how reliably data moves through the system, and how AI can answer financial questions in a grounded, transparent, and useful way. You will work closely with product, design, research, infrastructure, security, and data integration teams to take ideas from early prototypes to reliable production experiences. In this role, you will Own full-stack product features from user experience and frontend implementation through backend services, data models, deployment, and observability. Build polished, accessible, and performant interfaces for account connection, dashboards, insights, and conversational workflows. Design APIs and backend systems that safely ingest, normalize, and serve financial data. Build resilient integrations that handle synchronization, data freshness, partial failures, permissions, and user consent. Bring new AI capabilities into production while prioritizing grounding

About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. About the Role As a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in London. 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: Design, prototype and scale up new architectures to improve model intelligence Execute and analyze experiments autonomously and collaboratively Study, debug, and optimize both model performance and computational performance Contribute to training and inference infrastructure You might thrive in this role if you: Have experience landing contributions to major LLM training runs Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion Are motivated by safely deploying LLMs in the real world Are well-versed in the state of the a

About the Team OpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture, datasets and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. Recent examples of artifacts with major contributions from our team include GPT4-Turbo, GPT-4o and o1-mini. About the Role As a member of the architecture team, you will push the frontier of architecture development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck. This role is based in San Francisco. 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: Design, prototype and scale up new architectures to improve model intelligence Execute and analyze experiments autonomously and collaboratively Study, debug, and optimize both model performance and computational performance Contribute to training and inference infrastructure You might thrive in this role if you: Have experience landing contributions to major LLM training runs Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion Are motivated by safely deploying LLMs in the real world Are well-versed in the state of the art tran

About the Team Our London-based team builds the backend systems that help ChatGPT scale reliably. We work on infrastructure close to the product, partnering with engineering teams to improve the performance, resilience, and operability of critical user-facing systems. Our work combines backend software engineering with distributed systems and production reliability. We build shared capabilities, improve high-traffic workflows, and make it easier to introduce new product functionality without compromising performance or availability. About the Role This role is for software engineers who want to build and evolve backend systems operating at significant scale. You’ll write production code, design shared infrastructure, and solve technical challenges involving performance, distributed systems, and system reliability. You’ll also own how those systems behave in production: how changes are rolled out, how issues are detected and diagnosed, and how recurring operational problems can be addressed through better software and system design. This is a strong fit for backend engineers who enjoy complex systems problems and want a direct connection between the infrastructure they build and the experience of ChatGPT users. In this role, you will: Design, build, and maintain backend systems supporting high-traffic ChatGPT experiences. Develop shared services, APIs, and infrastructure that help product teams build and launch new capabilities safely. Improve the performance, scalability, and efficiency of production systems as usage and product complexity grow. Build and improve systems for asynchronous processing and other large-scale backend workloads. Lead architectural improvements and infrastructure migrations while maintaining correctness, compatibility, and safe rollout and rollback. Strengthen monitoring, alerting, and diagnostics to detect problems early and reduce customer impact. Participate in on-call, incident response, and root-cause analysis, and turn operational lea

About the Team The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology. About the Role As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You’ll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems. We’re looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained. 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: Research and develop reinforcement learning algorithms Design and run experiments to study training dynamics and model behavior at scale Collaborate with engineers and researchers to integrate successful approaches into model training pipelines You might thrive in this role if you: Have a strong background in reinforcement learning, machine learning research, or related fields Have strong engineering and statistical analysis skills Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect or evolving Are motivated by seeing research ideas influence real-world AI systems About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an ex

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 The Forward Deployed Engineering (FDE) team tackles some of Postman's most strategic technical challenges. We partner directly with enterprise customers to solve problems that don't fit neatly into existing product boundaries, building production-grade solutions that often become core product capabilities. As a Sr. Forward Deployed Engineer, you'll operate at the intersection of engineering, product, and customer success. You'll deploy Postman's critical infrastructure into customer environments, solve complex distributed systems challenges, and build the enterprise foundations that enable customers to safely adopt AI at scale. This isn't consulting or professional services. You're an engineer building production systems alongside customers, turning real-world deployments into durable platform capabilities used by thousands of organizations. This team will build 0-to-1 products from scratch - innovative, strategic initiatives designed to unlock hundreds of millions of dollars in new revenue. If you enjoy difficult engineering problems, working directly with customers, and building products from the field