Principal Data Privacy Architect Jobs

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: We’re looking for a Principal Product Manager, Agentic AI Platform to lead Drata’s Agentic AI strategy and execution. In this role, you will own a multi-year AI vision that spans product lines and influences company-level strategy, building AI-native experiences that help customers get real GRC work done—not just chat with their data. You’ll sit in the AI Pillar , working across Pr

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT CLICKUP At ClickUp, we're not just building software. We're architecting the future of work! In a world overwhelmed by work sprawl, we saw a better way. That's why we created the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI, empowering millions of teams to break free from silos, reclaim their time, and unlock new levels of productivity. At ClickUp, you'll have the opportunity to learn, use, and pioneer AI in ways that shape not only our product, but the future of work itself. Join us and be part of a bold, innovative team that's redefining what's possible! ABOUT THE ROLE We are hiring the next generation of product managers. AI has collapsed the work that used to sit between an idea and a working version of it, and for the first time, PMs can be true builders. The PMs who win in this era do not manage the work. They build the product, every day, with their own hands. A Principal Product Manager shapes high level strategy and product direction at the company level. You make the calls on the hardest product questions we face. Where the converged workspace is going, what AI for work actually looks like in three years, which bets matter. You build to show your thinking, not just describe it, and the argument is stronger when you have already put the idea on screen. You pull together data, customer escalations, support trends, and usage patterns and bring clarity on where we are winning and where to push next. The ways you find to move faster become how PMs across the company work. The stronger your craft, the mo

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: This is a Principal Product Engineering role focused on Money Infrastructure at Replit. You’ll work on the financial backbone that powers how Replit earns money, how builders earn money, and how Agents transact. This role sits at the intersection of engineering, product, and the business. The systems you build directly impact revenue, trust, and some of the most critical user journeys on the platform. Getting them right enables growth, experimentation, and global scale. Getting them wrong creates broken payments, confusing pricing, and lost trust. We’re looking for engineers who can design and scale reliable financial systems while translating complex monetary logic into intuitive, user-friendly experiences for both Replit customers and builders on the platform. We love folks who have a passion for monetizing innovation and being a part of the greater pricing story. You will: Lead the design, architecture, and implementation of Replit’s core money infrastructure, spanning pricing, billing, payments, and monetization. Own and scale the global order-to-cash foundation supporting credit-based subscriptions, usage-based billing, marketplaces, in-app payments, and commerce for Agents. Enable rapid pricing and packaging experimentation across the company by building flexible abstractions and APIs for new SKUs, plans, and monetization models. Build high-converting, localized payment experiences across geographies — thinking globally while enabling users to pay locally. Power builder monetization by creating payment rails for apps, Agents, subscriptions, and new monetization primitives. Partner closely on data specifications with finance, accounting, and data teams to produce accurate, auditable, and reliable f

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Cortex CoWork team is defining the future of AI for enterprise data. Our mission is to transform how the world’s largest enterprises interact with their data through flagship products like Snowflake (CoWork) Intelligence . As a Principal AI Engineer , you will be a technical North Star for our AI initiatives. You won't just execute on a roadmap; you will help define it. You will tackle the most complex, "frontier" problems in agentic reasoning, NL-to-SQL, and enterprise-scale RAG, ensuring our AI products are not only innovative but fundamentally reliable and scalable for the Fortune 500. What you will do in this role: Technical Strategy & Architecture: Define the long-term technical vision for Snowflake Intelligence. Lead the architectural design of multi-agent systems, complex tool-use frameworks, and self-correcting NL-to-SQL engines. Drive Industry-Leading Reliability: Move beyond simple evals to build world-class, automated "hill-climbing" infrastructure. You will establish the methodology for how Snowflake measures and guarantees LLM performance across diverse customer schemas. Cross-Functional Influence: Partner with Product and Engineering leadership to align AI capabilities with business goals. You will bridge the gap between Research (modeling) and Product

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab is an open-core software company that develops the intelligent orchestration platform for DevSecOps, used by more than 100,000 organizations and 50 million people. Our mission is to unlock every team to ship trusted software at the speed of imagination. Software is increasingly built by machines and directed by people. When agentic coding tools accelerate without context, governance, and lifecycle control, teams get speed with chaos. GitLab enables speed with control: customers deploy agents across the software development lifecycle (SDLC) with the orchestration, context, security, and governance to ship trusted software a

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role You will lead the product strategy for GitLab's next generation of engineering insight, helping software leaders, engineering managers, CTOs, and CPOs understand not just what their teams shipped, but why, and what to do next. As Principal Product Manager, Engineering Intelligence & Insights, you will shape how GitLab turns engineering data into decision-ready intelligence: the core data infrastructure and knowledge graph integrations that connect it, the out-of-the-box dashboards customers rely on today, and the conversational AI experiences that let leaders simply ask a question and get an answer in

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Principal Product Manager, Software Factory, you’ll define and bring together GitLab’s end-to-end software creation experience, from planning and specification through coding, review, and verification. You’ll connect capabilities across GitLab Duo Agent Platform and the wider GitLab product so customers have a cohesive and delightful experience. This is a senior, high-visibility role for a product leader who can shape product direction, work across organizational boundaries, and clearly present recommendations to executive leaders. What you’ll do Define the product vision and strategy for GitLab’s end-

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team... We're looking for a Principal AI/ML Scientist to help define and build the next generation of AI-powered experiences across GoDaddy. This role combines deep technical expertise, architectural leadership, and hands-on execution to shape our Generative AI, Agentic AI, recommendations, and personalization capabilities at global scale. You'll partner closely with Product, Engineering, Data, Design, and business leaders to solve complex customer problems and create intelligent experiences that help entrepreneurs start, grow, and thrive. If you're passionate about building production AI systems, influencing technical strategy, and turning emerging AI technologies into real customer value, we'd love to talk with you. What you'll get to do... Architect and scale Generative AI, Agentic AI, personalization, and recommendation systems that serve millions of customers globally. Design and implement end-to-end AI/ML platforms including data pipelines, model training, evaluation, deployment, monitoring,

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is seeking a Principal Customer Success Manager who will focus on building high-value, strategic relationships with large, global customers. The role requires extensive experience in SaaS Customer Success, strong business acumen and exceptional communication skills. The Principal Customer Success Manager is expected to provide thought leadership and mentorship, as well as lead and/or contribute to special programs and projects (minimum of 10% per working week). For the right candidate, this is a career-defining opportunity to join the market leader in Collaborative Work Management (CWM) and help influence the future of Customer Success as a vocation. This role reports to a Sr. Manager of Sr. Customer Success and has flexibility to work remotely from the West Coast. You Will: Manage a diverse book of business at scale, with a focus and engagement, enablement and adoption. Understand your customer’s business model, go to market strategy and organizational structure. Create and execute internal territory engagement plans and/or external joint customer enablement plans that focus on tailored, customer-specific strategy, proactive risk mitigation, value realization and expansion. Use data to gain insights, provide guidance, increase customer adoption and identify opportunities for expansion. Lead or influence renewals, partnering with internal teams to form a cohesive approach to mitigate churn and support expansion. Positively impact revenue via early risk identification and mitigation strategies

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. We are looking for an experienced Principal Product Manager to join our Product Organization at Smartsheet. In this role, you will own the intersection of AI-powered creation and product-led growth, driving investments that help customers get to value faster through intelligent content generation, AI-assisted onboarding, and self-serve activation. You will be accountable for setting strategy and making high-impact investments in areas of high ambiguity, aligned to customer demands and business goals. You will report into a leader in Product Management, and can be based in our Bellevue, WA office or work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Own the AI creation product surface: drive AI-powered asset generation, intelligent template recommendations, and the overall experience that turns a blank canvas into a working solution Define and drive the activation strategy: set the vision for how AI reduces time-to-value for new and expanding users, with a clear north star metric and a roadmap to move it Improve AI output quality: define standards for AI-generated content in Smartsheet, and work with engineering and design to improve the accuracy and usefulness of outputs over time Build the PLG feedback loop: optimize creation flows to understand what drives users to their "aha moment," use that signal to iterate fast, and turn activation wins into expansion Partner deeply across the org: work with engineering, design, data science, and platform teams to ship capabilities that are

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. About the role: As a Principal Security Engineer on the Detection and Response (D&R) team at Roblox, you'll play a key role designing and developing effective custom security data pipeline systems, detection strategies and automations for response workflows to defend our critical assets from threat actors. You will also lead real-time incident response, actively investigate events and analyze threat actor techniques to prioritize emerging threats to ensure Roblox is equipped to mitigate and react to critical challenges. You will play a vital part to ensure the safety of our community and enterprise by proactively fostering a high-performing, inclusive security culture. This is a hybrid in-office role. You Will: Be a D&R authority! You will deliver robust detection & response capabilities: build new threat detection systems (keeping false positives low) while also automating processes with scripts, playbooks and orchestration tooling. Implement ETL pipelines : Design and develop customized data processing pipelines. Conduct security operations : Actively monitor security events and participate in on-call rotations to lead real-time incident response to contain and mitigate potent

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. As a Principal Software Engineer on the Engine DataModel team, you will own and innovate on the foundational components that form the backbone of the Roblox platform. In the Roblox Engine, the DataModel is a tree-like structure that is analogous to a scenegraph in other 3D engines. This role will report to the engineering manager and will be based out of our HQ in San Mateo, CA in a hybrid model 3 days a week (Tuesdays to Thursdays). Our team owns: The core structures and systems are used to build the DataModel and interact with it. The C++ reflection bindings that form the Engine’s Luau API surface and let creators interact with the DataModel. We’ve built custom codegen tooling to generate the C++ for these reflection bindings and other related structures. DataModel serialization … and much more! You will: Develop engine code that performs well for all user-created games on the Roblox platform. Build the core systems and data structures used in the Roblox engine, working with other teams to find universal solutions. Take ownership of projects throughout their full lifecycles. Execute code that performs well on all the devices Roblox supports—from desktop clients to mobile phone clients to

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. As a Principal Software Engineer of the Game Engine data model team, you will innovate on the core data structures that form the backbone of Roblox’s platform. In this role you will have first hand opportunity to design and build one of the core technologies that makes the Roblox game engine special. The Data Model framework provides an interface between engine capabilities and our creators. It also acts as a fabric to core technologies, such as networking, scripting, Studio, rendering and physics which are essential to the high performance of the Roblox game engine. This role is in our San Mateo, CA HQ three days a week (Tuesdays to Thursdays). You Will: Develop engine code that performs well for all user-created games on the Roblox platform. Establish the foundational architecture and technical direction for the team. Work cross-functionally , across teams and technology platforms to deliver high quality and amazing functionality. Lead by example and mentor engineers to implement technological best practices, patterns, and strategies. Improve the product quality by encouraging automation testing. Take Ownership of projects throughout their full li

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. With Roblox Ads & Discovery business growing at a rapid rate, we are building large scale ads machine learning infrastructure to deliver more value to our users and our advertisers. As a Machine Learning Infrastructure Engineer, you’ll build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You’ll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users. You will: You will co-design models and systems, working at the intersection of model architecture and ML infrastructure, partnering closely with core modelers, data and AI infrastructure engineers, and product teams to push the boundaries of large-scale training and serving. Your work will span recommendation, search, and agentic applications, including large transformer architectures, LLMs, generative rankers, and efficient offline and online content-understanding systems. You will investigate model, data, and systems tradeoffs end to end—from data pipelines and distributed training to low-latency inference and production serving. This includes designing efficient KV-cache strategies, applying p