Lead Data Privacy Engineer Jobs

MongoDB’s Security Product Management team is seeking a Staff Product Manager to own security, compliance, and public sector product strategy within Atlas for Government (A4G). In this role, you will be a key member of the security product management team, helping make data security a market differentiator that enables MongoDB to win in enterprise and regulated industries. You will lead product strategy and execution for capabilities and programs that support federal compliance requirements and broader regulated-industry needs. You will work across Engineering, Compliance, Legal, Security, and Go-to-Market teams to translate complex regulatory and customer requirements into clear product investments, roadmaps, and outcomes. This role is suited for a candidate who can orchestrate multiple interlinked product areas, own cross-team product and architectural trade-offs, and align senior stakeholders around multi-year bets. You will be expected to identify opportunities and dependencies that cut across team boundaries, bring clarity to ambiguous problem spaces, and establish reusable ways of working that help MongoDB deliver secure, compliant platform capabilities for public sector and other regulated markets. You will partner closely with senior engineering and business leaders to evaluate trade-offs, sequence investments, and bring clarity to decisions that balance customer impact, execution risk, and long-term business value. This role can be based out of of our offices or remotely in the United States. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Person on US Soil. Responsibilities Security and Compliance Product Strategy Own the public sector compliance roadm

Join the Atlas Search team to design and develop the next generation of Semantic and Vector Search infrastructure. Atlas Search is a growing cloud service that allows users to execute complex search and vector search queries using the MongoDB Query Language. Our users can focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team is building a cloud-based distributed system responsible for the core components of search including data ingestion, performance, query language, query execution, for both relevance-based search and vector search. Our product is being adopted quickly and there are many interesting projects. This is a technical role where you will be responsible for the infrastructure and features enabling our at-scale cloud service powering vector and semantic search. We are looking to speak to candidates who are based in the San Francisco Bay Area for our hybrid working model. What You’ll Do Lead complex projects across the MongoDB ecosystem, for instance, development of a new Search deployment framework within the MongoDB managed cloud Set project level strategy, architect features, and lead projects to successful execution Identify, design, and implement features enhancing our reliability, performance, security and efficiency Perform code reviews with peers and make recommendations on how to improve our software development processes Influence and grow team members through active mentoring and leading by example What We Look For 5+ years experience in data management/search systems, ideally with a strong distributed systems and infrastructure background Experienced in the development and maintenance of concurrent, stateful services Eager to shape the technological direction of a complex system and have the ability to lead initiatives through collaboration with others Experienced in writing features, debugging and optimizing multithreaded applications written in Java Familiarity with LLM

MongoDB Professional Services serves as the delivery owner for complex customer initiatives, translating strategic goals into disciplined execution and measurable business outcomes across modernization, migration, cloud, data, and AI-related programs. The team drives delivery accountability across customers and internal stakeholders through strong governance, proactive risk management, and sustained alignment to customer priorities. About the Role MongoDB is looking for a Senior Project Manager to lead complex customer-facing Professional Services engagements and serve as the accountable delivery owner for customer requirements, execution, and business outcomes. The role translates customer objectives into a clear delivery strategy, aligns execution to expected outcomes, and drives alignment across scope, schedule, risk, dependencies, stakeholder actions, governance, and success measures. The person acts as a consultative partner to the customer’s business. helping shape priorities, tradeoffs, and decisions while keeping delivery focused on value realization. They must bring strong services delivery leadership, executive communication skills, and the ability to operate effectively in technically complex environments with sound judgement. The role partners closely with Consulting Engineers, Customer Success, Sales, and customer stakeholders to maintain momentum, align resources, and deliver measurable value. It also operates at both the engagement and broader account level, including leading regular quarterly business reviews and helping teams reassess priorities when needed. This role will be based remotely in the United States. What you will do: Lead complex Professional Services engagements from kickoff through closeout, maintaining continuity, accountability, and focus on value realization Own delivery accountability for customer requirements, execution, and business outcomes, keeping work aligned to customer prior

MongoDB is seeking a Senior Director to provide global program leadership across our PoD Program — the operating model supporting our most strategic global accounts as well as to lead global program management for our AI, Digital Native, and Acquisition account segments. This is a highly cross-functional, strategic role at the intersection of sales strategy, revenue operations, and go-to-market execution. The ideal candidate is a systems thinker who can architect scalable program frameworks, translate data into actionable whitespace and account strategy, and align Product, Services, Sales, and Partner organizations around a shared playbook for growth in our highest-priority accounts and fastest-growing segments. You will operate as the connective tissue between field sales leadership, account teams, and corporate functions — ensuring our most important customers and our highest-growth segments receive consistent, best-in-class coverage models, sizing, and go-to-market motions. We are interested in speaking with candidates who are based out of Austin, New York, and San Francisco Role Responsibilities Strategic Account Program Leadership (PoD) Own the end-to-end operating cadence for the PoD program covering MongoDB's most strategic global accounts Partner with global account leaders to ensure consistent program governance, executive reporting, and cross-regional alignment Serve as the central point of coordination for account planning cycles, QBRs, and executive engagement across PoD accounts Segmentation Design and continuously refine global account segmentation frameworks across strategic, AI/Digital Native, and Acquisition accounts Ensure segmentation logic reflects growth potential, product fit, and strategic value, and is consistently applied across regions Whitespace Analysis Build repeatable whitespace analysis methodologies to identify expansion opportunities within existing accounts and adjacent buying centers Partner with sales and analytics teams to operat

The Technical Services Partner Support team works closely with MongoDB partners to help ensure our mutual customer environments are healthy, stable, and successful on the MongoDB data platform. This team serves as a critical extension of Technical Services, helping partners navigate complex technical issues, accelerate resolution paths, and deliver a consistently strong support experience. We are looking for a Manager, Technical Services Partner Support to lead a team of highly skilled technical services engineers responsible for managing partner-facing technical cases and escalations. This leader will coach and grow the team, ensure excellent operational execution, and strengthen collaboration across Technical Services, Support Delivery, Product, Engineering, Customer Success, and Partner teams. This role is ideal for a people leader who is passionate about customer outcomes, calm execution during escalations, and building scalable support practices for a fast-growing partner ecosystem. Sufficient experience leading technical teams and functions will be considered in lieu of prior people management experience. We are looking to speak to candidates who are based in Austin, TX for our hybrid working model. Responsibilities Lead and develop a high-performing team: Manage daily operations, staffing, hiring, mentoring, and performance while fostering a culture of technical rigor, accountability, and empathy Oversee partner support and escalations: Drive operational excellence in triage and resolution for complex, high-priority partner issues, coordinating cross-functionally across Engineering, Product, and Customer Success Optimize processes and scale operations: Drive continuous improvement by identifying process gaps, refining workflows, and leveraging metrics to enhance resolution quality and partner satisfaction Collaborate and advocate: Partner with global leadership to ensure consistent, follow-the-sun service delivery and represent the team’s interests in cross-f

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for an IT Systems Engineer to lead the technical side of integrating newly acquired companies into Lyft's IT environment. You'll be responsible for migrating collaboration tools, SaaS platforms, and identity systems from acquired teams into Lyft's stack, with minimal disruption to either side. We're looking for a self-starter who's equally comfortable driving projects independently and partnering with others to get things done. The ideal candidate brings strong attention to detail, creative problem-solving, and a genuine drive to automate processes and improve efficiency across the IT organization. Responsibilities: Manage SaaS integration and consolidation during merger and acquisition activity, ensuring smooth platform migrations, data integrity, and minimal disruption across merged organizations Provide architectural, engineering, and operational support for corporate IT systems at Lyft Support single sign on integrations with Lyft’s primary identity provider, Okta. Leverage various APIs to write scripts and applications to automate IT Operations Support and work with IT, Security and other internal departments by building automation for repetitive tasks Write detailed and concise documentation and runbooks Engage with vendors to implement and improve services to best support Lyft’s needs Be a mentor to others in IT and act as a source for others Experience & Skills: 5+ years of experience managing corporate IT Systems Proven experience supporting IT integration during mergers, acquisitions, or divestitures, including SaaS platform consolidation and system migrations SaaS system application management including but not limited to: Gsuite, Okta, Atlassian, Slack Scripting experience leveraging GAM, Python, Bash, and/or equivalent tools Comfortable consuming RES

Who we are About the team Stripe is seeking a Regulatory Compliance and Money Laundering Reporting Officer (RC and MLRO) to lead our regulatory compliance and financial crimes program in Hong Kong. This role sits within the Affiliates pillar of the Financial Crime, Compliance and Risk Oversight (FinCRO) organization, and you'll report to the APAC Affiliates Lead. You'll be the named RC and MLRO of Stripe Hong Kong (to be set up) and lead or assist in the registration of Stripe Hong Kong as a Money Service Operator (MSO), under the oversight of the Hong Kong Customs and Excise Department (CED). In your role as the RC and MLRO, you'll be the principal decision-maker and strategic lead on regulatory compliance and financial crime risk management decisions, serving a critical role in ensuring the continued safe growth and success of Stripe in Hong Kong. You'll also be the public face of FinCRO in Hong Kong. You have deep subject matter expertise and a proven track record building and evolving tech-forward regulatory compliance and financial crime programs (collectively, compliance programs). You may be based in the Stripe Singapore office for approximately 6 months. The APAC Affiliates Lead determines the office location and duration. What you'll do Responsibilities Develop and implement a compliance strategy for Hong Kong, aligning with global FinCRO objectives and business goals, leveraging AI, data science, and automation wherever possible. Provide regular reporting and updates to the Board of Directors of Stripe Hong Kong regarding the health and effectiveness of the compliance programs Act as the RC and MLRO, owning and enhancing Stripe Hong Kong compliance programs, in particular, ensuring the financial crime program is designed to efficiently and effectively prevent, detect, and report money laundering, terrorist financing, and other financial crimes Engage with local regulators to shape the future of fintech oversight, advocating for tech-enabled complianc

About the Team Equity Administration at OpenAI is responsible for the operational foundation of our equity programs. Our team ensures equity data and reporting are reliable, our systems and integrations are resilient, and our processes and controls are built to scale globally. We work cross-functionally with Legal, Finance/Accounting, Payroll, Tax, People, and key vendors to uphold compliance requirements and enable equity strategy as the company evolves. About the Role We’re looking for an experienced Senior Manager, Global Equity Administration to lead the end-to-end equity program for a subsidiary, with a focus on high-quality execution, scalable processes, auditable controls, and reliable equity systems. You will be hands-on in day-to-day equity administration and help improve how we operate as we scale. You will report to the Head of Equity Administration and partner closely with Legal, Equity Programs, Compensation, Tax, Payroll, and Finance to ensure equity operations are accurate, timely, and employee-friendly. Location: 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: Execute end-to-end employee equity administration across key lifecycle events (new grants, vesting/RSU releases, option exercises, and related transactions). Run recurring operational cycles by managing timelines, checklists, stakeholder inputs, and issue resolution. Produce audit-ready equity reporting and support accounting, compliance, and reporting needs with accurate, well-documented data. Build and maintain automated reporting (scheduled reports, dashboards, reconciliations) to reduce manual effort and improve speed and accuracy. Support equity system operations (Shareworks or comparable) including troubleshooting, configuration updates, permissions, report builds, and workflow maintenance. Partner with Internal Controls to keep process documentation, narratives,

About the Team OpenAI is helping build the infrastructure that powers the next generation of artificial intelligence. Through Stargate, we are developing and operating large-scale AI compute campuses that require world-class execution across data center design, construction, commissioning, and operations. The Infrastructure Operations team is responsible for bringing AI infrastructure online and ensuring it operates reliably at scale. We partner closely with hardware, network, deployment, construction, and operations teams to deliver mission-critical environments capable of supporting frontier AI workloads. As our footprint expands, operational excellence becomes increasingly important to ensuring safe, reliable, and efficient campus operations. About the Role We are seeking a Facilities Operations Manager to support the commissioning, operational readiness, and long-term operation of next-generation AI data center campuses. This role sits at the intersection of construction, commissioning, hardware deployment, and facilities operations. You will be responsible for ensuring mission-critical infrastructure is prepared to support hardware deployment, transitioned successfully into production operations, and maintained to the highest standards of reliability and availability. You will lead day-to-day operational execution across electrical, mechanical, controls, and supporting infrastructure systems while partnering closely with commissioning teams, site operators, vendors, and engineering organizations. This role requires a strong blend of technical depth, operational leadership, and cross-functional execution. Key Responsibilities Lead day-to-day operations of mission-critical facility infrastructure across AI compute campuses. Own operational readiness activities supporting new campus deployments and infrastructure expansion. Partner with commissioning teams to transition facilities from construction and startup into steady-state operations. Develop, implement, and

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI's Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments. You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action. In this role you will: Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions. Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures. Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and m

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. We are looking for a Localisation Engineer who can join our efforts in continuing to lead the industry in global localization and product translation in Tokyo, Japan. Responsibilities: Innovate localization strategy and lead complex technical projects across their entire lifecycle to continuously optimize processes. Design, build, and maintain a full-stack AI translation platform, including scalable web applications, backend services, and data pipelines. Integrate LLMs into core workflows to drive process automation, enhance content reuse, and support intelligent quality assurance. Establish comprehensive QA frameworks and provide ongoing technical support to ensure the robustness, reliability, and observability of localization pipelines. Manage vendor relationships, overseeing budget planning and ensuring high translation quality standards. Be excellent and think big in building the solution-based approach to offer the best localization at Snowflake. Required Qualifications: Minimum of a Bachelor's degree in Computer Science or related technical field or equivalent practical experience. Strong fundamental computer science skills. Knowledge of algorithms and data structures. 5+ years of experience in software development working with one or more of the following languages:

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. Principal Technical Architect - AI/ML LEAD. STRATEGIZE. TRANSFORM. SUMMARY: Recognized expert and strategic technical advisor resolving critical, wide-ranging design matters for legacy modernization and Generative AI. WHY THIS ROLE? You act as the technical "North Star" for high-stakes migrations. You exercise wide latitude in determining objectives and approaches to critical assignments with high business impact. WHAT YOU’LL DO: Develop reusable solution patterns, global reference architectures, and practice-wide white papers. Modernize legacy stacks (Netezza, Teradata, Exadata) into Snowflake AI workloads using deep architectural knowledge. Act as a trusted technical advisor to C-suite stakeholders, bridging business strategy with AI execution. Solve for LLM robustness, including managing prompt safety, hallucinations, and latency at enterprise scale. Gen AI Robustness: Architect enterprise-grade guardrails for LLMs, ensuring safety and performance. Legacy Transformation: Facilitate high-complexity data migrations from on-prem legacy systems into AI-ready cloud environments. Strategic Risk Management: Determine technical approaches for assignments that impact regional or global design success. SNOWFLAKE-NATIVE TECH STACK: Vector Data Types, Snowflake Cortex, Advanced LLM

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 Mission: Building the Data Foundations for AI We are the Snowflake Interoperable Foundations organization - the foundational layer that powers Snowflake’s AI, Analytics and Data Engineering capabilities. We lead innovations across open table formats such as Apache Iceberg, helping customers build peta-byte scale multi-cloud data lakes on Snowflake. We deliver core Metadata capabilities that power Snowflake’s industry-leading performance, AI, governance and platform features. We are embarking on a 0->1 redesign of our core systems across Interoperable Foundations. While we already manage exabyte-scale data supporting Snowflake’s AI capabilities, the next frontier is providing the foundational data layer that accelerates agentic innovation in an open, multi-format data world, You will be setting the technical vision across our investments in metadata platforms, Apache Iceberg and AI-ready storage. Your Impact: From Redesign to Reality 0->1 Architectural Leadership: Lead the ground-up redesign of our core Metadata systems, influencing the transaction frameworks that power query, DML, and AI-driven data interactions in addition to extending our lead on platform capabilities such as Zero Copy Cloning and Cross-Region / Cross-Cloud Replication. Iceberg Innovation: Drive

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Integrated Solutions team is responsible for driving growth across all of our lines of business in an integrated way. This role is responsible for interpreting and defining client needs in order to align the client’s objectives and requirements with Dun & Bradstreet’s data, capabilities and value. Articulating how our data in conjunction with key partner technologies can lead to strong business outcomes is key. In this role, you will work in partnership with the Relationship Manager, Solution Sales, Solution Architects and Client Success team, advise on our integrated proposition, including lakehouses and agentic workflows, and display a willingness to learn about and develop relationships with our strategic partners. This will include supporting the Relationship Manager in web-based meetings, in-person meetings, and through providing collateral and thought leadership to support driving Cross Sell, Upsell and New Business.

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Industry Practice Expert Banking, is a hands-on, execution-focused role within the Industry Practice environment. The role supports and operationalizes the Industry Practice strategy by turning industry expertise, data assets, and technology capabilities into concrete use cases, customer solutions, and sales enablement outcomes. The Expert operates at the intersection of industry knowledge, data, and delivery execution. Acting as the analytical and operational extension of the Industry Practice Lead, the role focuses on structuring requirements, shaping use cases, supporting solution design, and ensuring that industry initiatives move from concept to scalable implementation. This includes typical Business‑Analyst activities such as requirements analysis, process decomposition, data analysis/mapping, and validation of value assumptions. Working closely with sales, product, data science, AI, and operating unit teams, the Expert ensures that industry insights are consistently translated into practical, repeatable, and commercially relevant solutions that can be deployed across customers and regions.