Privacy Engineer 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. As a Senior Privacy Software Engineer on the Privacy Infrastructure team, you will design and build the foundational platforms, services, and controls that enable Roblox to protect user data and meet global privacy obligations at scale. You will develop privacy-by-design solutions that support data governance, user privacy rights, data discovery, retention, auditing, and regulatory compliance across a rapidly growing ecosystem of products and services. This role sits at the intersection of distributed systems, data platforms, security, and privacy engineering. You will partner closely with engineers, product teams, security, legal, and policy stakeholders to build scalable privacy infrastructure that is deeply integrated into Roblox's development workflows. Your work will directly influence how we responsibly manage data for millions of users while enabling innovation across the platform. You Will Design and build scalable privacy infrastructure that enables Roblox to discover, govern, protect, and manage personal data at scale. Develop backend services, APIs, and data pipelines that embed privacy controls into engineering workflows and enable fulfillment of user privacy rights at global sc

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 Senior Privacy Engineer on the Security and Privacy GRC team, you will shepherd and grow Roblox's Privacy Review Program, the technical and process backbone that ensures privacy is engineered into every product before it ships. You will join the Security and Privacy GRC team, reporting to the Sr Engineering Manager for Privacy Governance and Operations. This is a hands-on privacy engineering role: you'll set standards for privacy-enhancing technologies, act as the go-to SME for policy-as-code, and partner closely with Product teams, Trust & Safety, Legal, and Regulatory Compliance as part of Roblox's broader cross-functional privacy program. You will: Shepherd and evolve the Privacy Review Program, designing consistent intake workflows, evaluation criteria, and documentation to systematically assess privacy risk across new products, features, and infrastructure changes. Develop standards and guidelines that enable product teams to adopt privacy-enhancing technologies (PETs) such as differential privacy, k-anonymity, data minimization, and secure computation, with clear guidance on trade-offs and implementation patterns. Act as the Privacy SME for policy-as-code, translating privacy

About the Team The Privacy Engineering team builds secure, reliable systems that help OpenAI meet its legal obligations while protecting user data. We partner closely with Legal and Engineering teams across OpenAI to support lawful data access requests and other critical legal workflows. Our work turns complex, high-stakes processes into auditable and dependable technical systems with clear human oversight and strong privacy and security controls. About the Role We’re looking for a full-stack Software Engineer to build the internal tools and data pipelines that power lawful data access request workflows and Legal Operations. You will work across product and data systems to make authorized retrieval and case handling accurate, efficient, and auditable. This role is well suited to someone who enjoys translating ambiguous operational requirements into durable systems, cares deeply about sensitive-data handling, and wants to improve both technical reliability and the day-to-day experience of the people operating these workflows. This role is based in San Francisco, CA, with two additional locations under consideration: London, UK, and Dublin, Ireland. 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, build, and operate backend systems and workflow tooling for the full lifecycle of lawful data access requests, from intake and scoping through authorized retrieval, review, preparation, and audit. Build reliable data pipelines and interfaces across products and data stores so authorized teams can locate and handle the right records accurately and reproducibly. Implement least-privilege access, approval gates, provenance, audit trails, data minimization, and safe failure modes for sensitive workflows. Partner with Legal and Legal Operations to translate legal and operational requirements into clear technical designs and intuitive operator experiences. Identify responsible automation o

About the Team The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. Own governance systems

About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks. This position is located in San Francisco. Relocation assistance is available. In this role, you will: Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees. Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams. Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and prod

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. As Ramp’s founding Privacy engineer, you will build a privacy program that powers Ramp’s growth while earning trust from customers and prospects. What You’ll Do Build privacy-focused application primitives and integrate them into our existing products Partner with other engineering teams to design and deploy solutions which are inherently privacy-centric and secure Improve, implement, and deploy data retention and anonymization strategies across our environment Track shifting legal standards (alongside with Ramp’s Privacy Counsel) and update Ramp systems and processes to match What You Need Minimum of 4 years of experience building software Minimum of 2 years of experienced focused on platform, privacy, and/or security Desire to work in a fast-paced environment, continuously grow, and master your craft Ability to turn business and product ideas into engineering solutions Nice-to-Haves Working knowledge of data-protection legal requirements Experience with Python (Flask), React, and AWS (ECS, as well as other core services) Benefits available to all

We’re looking for a Software Engineer to architect and build backend systems that enforce data privacy and automate compliance at scale. You’ll work closely with product, infrastructure, security, and legal teams to embed privacy-by-design into our data and access layers. This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation. What You’ll Do Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections. Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes. Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable. Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs. Harden data platforms and backend services through schema-level controls and data handling constraints by default. Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations. Contribute patterns, libraries, and education that elevate trustworthy data access patterns across the organization. You Might Thrive in This Role If You Have 5+ years of industry experience building and operating backend or infrastructure systems in production. Strong software engineering fundamentals , with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java). Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines. Familiarity with global privacy regulations and their architectural implications. Ability to influence and collaborate with teams across legal, compliance, product, and engineering. A bias toward practical, impactful solutions that balance privacy protections with product needs. Nice to Have Experience wi

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 Senior Software Engineer on the Privacy Infrastructure team, you’ll design and build large-scale systems that operate across Roblox’s platform and data ecosystem. You’ll tackle complex distributed systems challenges, develop reliable and scalable infrastructure, and work across engineering teams to deliver foundational capabilities that serve millions of users. This is an opportunity to take on high-impact technical problems at Roblox scale while helping shape the next generation of our infrastructure. You Will Design, build, and scale reliable infrastructure and platform solutions that protect user data and support the needs of a global platform. Develop foundational capabilities for emerging technologies, including agentic AI workflows, with a focus on safe and responsible data access. Partner with engineering teams across Roblox to integrate scalable data protection capabilities into their systems and development workflows Drive technical strategy and architecture for complex, cross-cutting challenges spanning data, infrastructure, privacy, and security. You Have 7+ years of proven experience as a software engineer. Expertise in Python or Golang; Strong understanding of system

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Role Summary: This role will lead the data engineering function supporting People Analytics, including AI-assisted workforce analytics on Snowflake. This is a player-coach role requiring hands-on technical leadership plus people leadership, with strong business partnership and the ability to balance speed, quality, governance, and innovation. What you’ll do: Manage and develop data engineers Manage, coach, and grow a team of data engineers. Set expectations for quality, collaboration, delivery, and technical ownership. Create a strong engineering culture where people solve hard problems, move quickly, and enjoy the work. Collaborate with cross-functional teams, such as other data engineers, people analysts, data scientists, and business stakeholders, to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners. Stay hands on Write and review production code. Lead design reviews, code reviews, and technical problem solving. Step into critical pipelines, models, or AI workflows when needed. Build scalable People data foundations Design and maintain sustainable data models, pipelines, semantic layers, and testing frameworks. Establish team practices for documentation, lineage, data quality, and observability. Own engineering standards Set standard

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. About The role As a Vulnerability Management Engineer, you will support the identification, assessment, prioritization, and remediation of vulnerabilities across applications and infrastructure. Working under the guidance of senior team members, you will assist in understanding how vulnerable dependencies enter an application, identifying remediation options, and engaging with engineering teams to track fixes. You will contribute to the maintenance of internal vulnerability-management tools, such as scripts, documentation, and reporting. The ideal candidate will have a desire to grow their AppSec expertise, will be eager to learn about modern security tooling and automation, and will be comfortable using AI tools like Claude to assist with documentation, investigation, and scripting tasks while following company security and data-handling requirements. What you’ll do Perform regular vulnerability assessments using different tools. Regularly drive remediation and reporting of cataloged vulnerabilities. Assess discovered vulnerabilities and properly prioritize their scope, impact and necessary response actions. Conduct security reviews of our products and production infrastructure. Contribute to vulnerability management, application security and/or offensive/red-team operations. Engage in security audit

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Role Summary: We are looking for a talented and detail-oriented Sr Data Engineer to tackle data challenges. You will design, build, and maintain critical data pipelines and datasets, supporting areas like recruiting, compensation, talent management, and learning and development. Your work will enhance data accessibility and empower the People Team and business leaders to make informed decisions with high-quality, reliable data. Key Responsibilities: Develop and maintain robust data pipelines and datasets. Build foundational data products for key business areas. Enhance self-service data capabilities for the People Team. Ensure high standards in ETL/ELT operations, data quality, and pipeline reliability. Join us to drive impactful change and support SoFi's mission of fostering a thriving workplace through data excellence. What you’ll do: Design and build production dbt models in Snowflake that integrate Workday and other People systems into well-modeled, documented datasets, including slowly changing dimensions for People history. Build and operate Airflow DAGs that ingest People systems data and orchestrate dbt runs, keeping loads reliable and re-runnable. Own data quality and observability: dbt tests, freshness checks, row-count validation, and monitoring so issues are caught before stakeholders see them.

About the Team The Private Computing team works across product, engineering, security, and safety to build advanced privacy products and infrastructure at OpenAI. Our mission is to provide world-class security features to users so their private data remains private, even from OpenAI. We use technologies like confidential computing, trusted execution environments, and end-to-end encryption to ship product features across ChatGPT, the API, and our future consumer devices. About the Role We’re looking for software engineers to design, build, and scale novel privacy features and infrastructure across ChatGPT, API, and future consumer devices. In this role, you will: Ship fast while balancing difficult trade-offs in complex domains Build core abstractions for trusted execution environments and end-to-end-encryption Build product features for private inference and storage across ChatGPT, API, and future consumer devices Update build systems to increase trust and verifiability Integrate with safety and integrity infrastructure Operate systems at scale with high reliability, including an on-call rotation Collaborate with a diverse set of cross-functional teams across product, engineering, security, safety, policy, and legal You might thrive in this role if you: Care deeply about user privacy and security Have 5+ years of experience in professional software engineering Have experience building and scaling confidential computing or encryption technologies in production environments Have experience with Kubernetes and cloud orchestration systems Take pride in building and operating scalable, reliable, secure systems Can collaborate well and drive alignment in the face of difficult trade-offs Are comfortable with ambiguity and rapid change Workplace & Location This role is based in San Francisco, CA. We follow a hybrid model with 4 days a week in the office and offer relocation assistance to new employees. About OpenAI OpenAI is an AI research and deployment company dedicat

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge We're looking for a Solutions Engineer (SE) to join our Solutions Engineering team. In this role, you'll partner closely with Sales to help prospective customers understand how OneTrust can address complex privacy, security, governance, and compliance challenges. As a trusted technical advisor, you'll guide customers through discovery, product demonstrations, technical evaluations, proof-of-concepts, and integration discussions. You'll help organizations evaluate how OneTrust solutions fit within their existing technology ecosystem while collaborating with Product, Engineering, and Customer Success teams to drive successful outcomes throughout the sales process. Your Mission Serve as a technical resource throughout the sales cycle, partnering with Account Executives to support new business opportunities. Deliver compelling product demonstrations and technical presentations tailored to customer requirements and business objectives. Conduct technical discovery sessions to understand customer environments, workflows, and integration needs. Support proof-of-concept evaluations and demonstrate how OneTrust sol

Principal Data Privacy Architect Description - Job Summary - Role Purpose • Lead and oversee complex, cross-functional privacy and data protection programs from strategy through implementation, ensuring alignment across business, technical, legal, and compliance stakeholders. • This role will design and implement scalable, AI-ready data privacy architecture across enterprise data environments, applications, and AI-enabled workflows. • The Principal Data Privacy Architect will serve as a hands-on subject matter expert responsible for embedding privacy-by-design, consent enforcement, data sovereignty, data loss prevention, and compliance controls into large, complex global data environments. • The architect will partner closely with Data Engineering, Cybersecurity, Legal, Privacy, AI Governance, Product, and Enterprise Architecture teams to ensure customer, employee, partner, and sensitive enterprise data is accessed, processed, shared, retained, and protected in a compliant, secure, and trustworthy manner. - Why This Role Matters • Architect for Trust & Scale: Build reusable privacy architecture patterns that enable secure, compliant, and scalable data usage across platforms, products, and regions. • Enable Responsible AI: Design privacy guardrails for AI agents, generative AI, RAG pipelines, model inputs and outputs, embeddings, vector stores, and automated data workflows. • Reduce Risk While Enabling Innovation: Translate privacy, consent, regulatory, and data sovereignty obligations into practical engineering controls that accelerate business outcomes. Responsibilities - Think Customer First • Embed customer trust, transparency, and privacy-by-design principles into enterprise data platforms and customer-facing applications. • Design consent-aware data access and usage p

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for an experienced Software Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Software Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: Java / Kafka / Postgres AWS cloud What you'll do: Advance our capabilities across a wide array of industries and domains and gain hands-on experience with privacy, security, data modeling and architecture Develop and deliver code across the full stack, driving engineering excellence by defining to best practices in testing, documentation and observability Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you’re great at: 3+ years of backend software development experience in Java Working with cloud-based application development, and being fluent in at least a few of: Cloud service providers like AWS Containerization technologies like Docker and Kubernetes Collaboration, integration, and deployment tools like Github, Argo, and Jenkins Arti