Lead Data Privacy Engineer Jobs

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We’re a leading online reviews platform, free and open to all. Our mission is to be a universal symbol of trust. We are well on our way - but there’s still an exciting journey ahead of us. Do you want to join us? A core value proposition of Trustpilot is Trust. We work hard to ensure that our platform has real content from real people with real experiences. That means eliminating fraudulent reviews and sanctioning suspect behavior to keep our platform authentic. Our Trust Technology team aims to be an established name in the use of advanced technology to safeguard the integrity of online reviews. The Trust teams are composed of both Engineering and Data Science functions, where both are integral to achieving our goals. We are looking for a skilled Data Science Manager to join the Trust team in our mission. You will lead two teams of passionate and dedicated professionals, including Data Scientists who research Trust-specific problems and design ML solutions for them, and Engineers who build and maintain scalable infrastructure to turn detections into outcomes. You and your team will work within a focus area to develop, deploy, and maintain innovative technology at scale, alongside a cross-functional team of product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business including with those in our Legal, Platform Engineering, and Data Science teams within Consumer, B2B, and Commercial. To thrive in this role, you bring a background in building and scaling complex systems with machine learning at their core. You are a seasoned Data Scientist who enjoys remaining hands-on across the end-to-end

About the Team The Product Marketing team shapes how customers understand, adopt, and realize value from OpenAI’s technology. We work across Product, Research, Sales, Solutions, Partnerships, and Customer Success to bring customer insight into our product strategy and translate technical capabilities into clear, credible stories and solutions. About the Role AI becomes meaningful when it helps people do the work that matters to them. For a finance team, that might mean understanding complex information faster. For a healthcare provider, it might mean navigating clinical workflows more effectively. For a sales or marketing team, it might mean creating entirely new ways to reach and serve customers. We’re looking for a senior product marketing leader to shape how OpenAI serves the business functions and industries where our technology can make a meaningful difference. You’ll define how our models and products meet the needs of teams such as sales, marketing, and finance, as well as industries including financial services, healthcare, and retail. Working closely with Product, Research, Sales, Solutions, and Partnerships, you’ll identify important customer problems, influence product strategy, and build relationships with the ecosystem partners and data providers needed to bring complete solutions to market. You’ll also build and lead the product marketing team responsible for turning these opportunities into durable customer value. You might thrive in this role if you: Have 12+ years of experience in product marketing, industry marketing, solutions marketing, or enterprise go-to-market, ideally across enterprise software, cloud, data, developer, or AI platforms. Have built and led high-performing teams, mentored senior marketers, and know how to create clarity in fast-moving, ambiguous environments. Understand how different industries and business functions evaluate technology, adopt new tools, and define value. Have shaped positioning and go-to-market strategies for c

About the Team OpenAI’s Compute Strategy team is responsible for securing and scaling the core resources that power our research and products. We partner across engineering, finance, legal, and operations to identify, negotiate, and execute strategic partnerships that expand OpenAI’s capacity for compute, power, and data center infrastructure. Our mandate spans energy procurement, real estate development, colocation, cloud service providers, silicon and strategic supply chain, and infrastructure financing—ensuring OpenAI can grow with speed, resilience, and cost-efficiency. About the Role We are hiring several Business Development Lead, Compute Strategy positions focused on compute infrastructure. Each hire will bring deep expertise in one or more focus areas while collaborating across the broader infrastructure stack. In this role, you will source opportunities, structure partnerships, and negotiate high-value agreements across OpenAI’s infrastructure ecosystem. You will work directly with external partners and suppliers while collaborating internally with engineering, legal, finance, and operations to ensure we have the resources needed to support state-of-the-art AI systems. This role requires technical fluency, commercial judgment, and disciplined execution. Your work will directly shape how quickly, reliably, and efficiently OpenAI can bring new compute capacity online. Each hire will focus on building partnerships and executing deals in one or more of the following areas: Energy and Power: securing scalable and sustainable energy supply. Land and Real Estate: identifying and securing strategic sites. Colocation : evaluating and contracting for third-party data center capacity. Cloud Service Providers (CSPs): structuring partnerships with hyperscalers and specialized AI cloud providers. Silicon: building semiconductor partnerships to secure advanced silicon and resilient long-term supply. Fiber & Equipment: securing fiber & critical data center equipmen

About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Power & Land team owns the energy strategy required to secure reliable, scalable, and economically resilient power for OpenAI’s global data center portfolio. About the Role The Power Trading Lead will own commodity hedging strategy and execution across OpenAI’s data center power portfolio. This role will translate large, dynamic electricity and fuel exposures into practical hedging, procurement, and risk-management strategies that protect infrastructure economics while preserving flexibility for growth. This is an individual contributor lead role and does not have direct reports initially. The role will work across power markets, utility tariffs, retail and wholesale supply structures, natural gas and power hedges, renewable and clean firm products, and portfolio risk analytics to support long-term compute growth. Key Responsibilities Develop and maintain OpenAI’s commodity hedging strategy across electricity, natural gas, and related energy exposures for data center operations and growth. Quantify portfolio exposure by market, site, load shape, tenor, tariff, and supply structure, and translate that exposure into clear hedging recommendations. Evaluate and execute hedging structures including fixed-price supply, forwards, swaps, options, retail supply products, congestion and basis risk mitigation, and related instruments where appropriate. Partner with utilities, suppliers, traders, banks, consultants, and market counterparties to source competitive products and improve risk-adjusted energy economics. Build decision frameworks for when to hedge, how much to hedge, and which risks to retain across different stages of site development, construction, and operations. Coordinate with finance, treasury, legal, procurement, energy regulatory, sustainability, and site-readiness teams to ensure hedging strategy aligns with broa

About the Role We’re looking for a Competitive Intelligence Lead, a senior individual contributor reporting to the Head of Competitive Intelligence, to help operationalize and scale the company’s competitive intelligence capability. This person will own high-priority competitive analyses, executive-ready insights, and GTM enablement that help Product, Sales, Marketing, Customer Success, and leadership understand where we win, where we’re vulnerable, and how the market is evolving. This is not a traditional research role. It is a hands-on strategy role at the intersection of Product, GTM, Research, and Leadership. You will turn competitor movements, customer feedback, product data, and market signals into clear recommendations that influence roadmap decisions, positioning, pricing, sales execution, and executive decision-making. What You'll Do Partner with the Head of Competitive Intelligence to translate the company’s CI strategy into repeatable analyses, operating rhythms, executive materials, and GTM enablement. Own high-priority competitor deep dives, market landscape reviews, pricing analyses, product comparisons, Harvey Ball assessments, feature matrices, and strategic opportunity/risk assessments. Create executive-ready insights that inform product strategy, roadmap prioritization, GTM planning, pricing, and investment decisions. Develop best-in-class competitive messaging, objection handling, battlecards, and enablement content for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding activity, customer announcements, and GTM motions. Synthesize fast-moving and complex market information into clear implications, recommendations, and decision-ready narratives. Partner closely with Product Management to identify areas of differentiation, competitive gaps, customer pain points, and emerging opportunities. Collaborate with Marketing to sharpen positioning, me

About the Team The B2B Marketing team contributes to OpenAI's broader mission of ensuring responsible and widespread adoption of artificial intelligence. We are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI's products and platform. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with Product, Engineering, Growth, Sales, Research, Comms, and Design teams to create a cohesive customer experience across all our channels. About the Role We're looking for a senior product marketing leader to own the strategy, narrative, and go-to-market direction for ChatGPT Work. This role will help define how professionals, teams, and organizations put AI to work on meaningful tasks, move from questions to completed work, and adopt new ways of working across their business. You will serve as the senior product marketing owner for ChatGPT Work, shaping the category, setting portfolio priorities, and connecting product innovation to customer understanding, adoption, and growth. Your scope will span the Work experience across surfaces, connected tools, and AI-powered workflows, with a clear focus on the needs of professional users, Business customers, and Enterprise organizations. This is a leadership role for someone who can set strategy, make difficult tradeoffs, and stay close enough to the work to shape the messaging, product decisions, launches, and programs that determine whether customers adopt. You will partner with Product, Growth, Sales, Research, Comms, Creative, and adjacent product marketing teams to build a coherent experience from first discovery through sustained team usage. In this role, you will: Own the ChatGPT Work product marketing strategy: Define the audience, market opportunity, positioning, competitive strategy, and go-to-market priorities across professional users, tea

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Industrial Compute team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role The Community Engagement Lead will serve as the primary liaison between OpenAI and the communities where it plans to develop data centers, including Effingham County and the greater Savannah Metropolitan Area. This role ensures that OpenAI builds strong, trust-based relationships with local stakeholders, communicates proactively about our projects, and integrates community priorities into our development approach. The role spans engagement, communications, and reputation management, and will partner closely with the Economic Development and Environmental leads. Key Responsibilities Build and maintain relationships with local leaders, community organizations, NGOs, and residents. Develop and execute community engagement strategies for new and existing sites. Represent OpenAI in public forums, hearings, and community events. Partner with the Economic Development Lead on incentive compliance and community benefits. Partner with the Environmental Lead on communicating environmental stewardship and sustainability efforts. Develop proactive communications to address concerns, highlight benefits, and reduce risk of opposition. Monitor community sentiment and advise executives on risks and opportunities. Create a community engagement playbook that can scale across geographies. Qualifications 8+ years in community affairs, public engagement, or corporate communications. Proven track record engaging diverse community stakeholders for large infrastructure or technology projects. Strong publ

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Controls Network Engineer, you will design, validate, and scale the controls and OT network architectures that support high-density AI data centers. You will work across controls systems, OT infrastructure, telemetry, commissioning, deployment, and operations, partnering with mechanical, electrical, IT/networking, security, and external delivery teams. About the Role We are seeking a mid to senior OT Network Engineer with a strong controls systems background to lead the design and operation of resilient, secure, and scalable OT network architectures for high-density AI data centers. This role translates compute, power, cooling, and operational requirements into practical OT network designs, evaluates vendor solutions, and drives technical decisions across controls infrastructure, telemetry, commissioning, and operations. The ideal candidate has strong hands-on experience in mission-critical OT environments, including industrial networking, virtualized infrastructure, and OT network operations, with expertise in routing, switching, segmentation, firewall policy, time synchronization, monitoring, and network lifecycle support. Key Responsibilities Define controls, automation, and OT network requirements for AI data center campuses. Develop reference architectures, engineering standards, and reusable design templates. Review and develop basis-of-design and functional design documents, including OT network diagrams, IP/VLAN schemes, telemetry architectures, data flow diagrams, and commissioning requirements. Design OT and infrastructure network architectures, including physical topology, logical topology, IP addressing, subnetting, VLA

About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We partner with Product, Engineering, Risk, Finance, and Go-to-Market to make paying for OpenAI products seamless, reliable, and efficient worldwide. About the Role As a Data Scientist on FinEng, you’ll own the analytics and experimentation that improve our checkout and payments , subscriptions , and pricing & monetization systems. You’ll define the metrics that matter, build the source-of-truth data assets, and design experiments that increase conversion, reduce churn and payment failures, and expand global payment method coverage. Your work will directly influence revenue, customer experience, and how we scale internationally. 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 Own checkout & payments analytics and experimentation across methods and locales (e.g., bank transfers, emerging rails), improving conversion while monitoring risk and latency. Build and run the experimentation program for in-house checkout—define success metrics and guardrails, execute staged rollouts, and use offline incrementality when online tests aren’t feasible. Create operational visibility and source-of-truth data with FinEng Data Engineering—land team-level metrics, SLAs, and self-serve dashboards that drive proactive action. Lead subscription, retention, and monetization analytics—ship launch-readiness for new subscription features, reduce involuntary churn (e.g., targeted retrials/nudges), and develop elasticity/FX frameworks toward pricing optimality. You might thrive in this role if you have 5+ years in a quantitative role (data science, product analytics, or experimentation) in high-growth or fintech environments Fluency in SQL and Python ,

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission to ensure that artificial general intelligence benefits all of humanity. The Controllership team delivers the financial truth that powers OpenAI’s growth. By translating operational activity into accurate, timely, and decision-grade financial data, we enable leadership to scale the business with confidence. Our commitment to rigorous controls and best-in-class systems ensures financial integrity as OpenAI grows. About the Role We are seeking a strategic and execution-oriented Inventory & Cost Accounting Lead to build and scale manufacturing accounting and product costing capabilities across consumer hardware and robotics businesses. This role partners closely with Finance, Supply Chain, Manufacturing Operations, Technical Accounting, Strategic Finance, and Systems teams to establish scalable costing methodologies, inventory valuation processes, manufacturing close procedures, and reporting infrastructure supporting rapid growth and product launches. The ideal candidate brings deep experience in consumer hardware manufacturing environments, including standard costing, inventory accounting, variance analysis, contract manufacturing, and ERP operationalization — particularly within Oracle Fusion. This person should thrive in ambiguity, balance strategic thinking with operational execution, and possess the executive presence and judgment to influence cross-functional stakeholders and senior leadership. 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: Manufacturing Costing & Inventory Accounting Lead product costing and inventory accounting across consumer hardware and robotics programs, including inventory valuation, manufacturing variances, reserves, and close processes. Partner with Supply Chain, Operations, and Str

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations. This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations. About the Role We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers. The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium-voltage and low-voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems. You should be comfortable moving between long-range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting. Key Responsibilities Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability. Review and develop basis-of-des

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Engineering Program Manager, you will help turn complex infrastructure strategy into executable programs across electrical, mechanical, controls, network, hardware, construction, commissioning, deployment, and operations workstreams. You will partner with research, hardware engineering, data center engineering, site development, supply chain, security, EHS, finance, legal, operations, and external delivery partners to bring OpenAI's infrastructure vision to life. About the Role We are looking for an Engineering Program Manager (EPM) to lead assigned infrastructure programs focused on production and non-production network integration, controls coordination, and the design and deployment of data hall or whitespace facilities. The EPM will support functional Directly Responsible Individuals (DRIs) across network, controls, structural, electrical, and mechanical disciplines. Key responsibilities include coordinating assigned workstreams and program controls, maintaining risks and interfaces, and supporting readiness within the network and data hall deployment track. The ideal candidate thrives on bringing structure to complex environments characterized by ambiguous technical requirements, large partner ecosystems, tight deadlines, and high operational stakes. This individual must be adept at keeping teams aligned on decisions, risks, dependencies, schedules, and readiness criteria, and escalating gaps or decision points when needed. Candidates should have a proven track record of managing technically challenging engineering programs across major lifecycle phases, including design, validation, procurement, construction, c

Technical Lead - Backend About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the role: We are looking for a Tech Lead for the Gold Tech team to drive technical direction, architecture, and delivery of Paytm Digital Gold — a high-scale bullion platform serving consumer and merchant use cases at lakhs+ rpm. This role combines hands-on engineering with technical leadership — you will architect solutions, unblock the team, own critical money-path reliability, and partner with Product and Engineering leadership on roadmap and execution. We are building reliable, high-availability financial products and need a Tech Lead who can own modules end-to-end, raise the bar on code quality, and mentor junior engineers. Key Responsibilities: ● Define and evolve technical architecture for Gold services — scalability, reliability, security, and maintainability. ● Lead design and implementation of high-availability, high-volume transactional systems. ● Own end-to-end delivery of major initiatives — breakdown, estimation, risk management, and production rollout. ● Set engineering standards: code quality, review practices, testing strategy, observability, and incident response. ● Drive cross-service integration design. ● Guide the team on Kafka event design, scheduler orchestration, CDC pipelines, and data consistency patterns. ● Mentor and grow engineers (SSE and below); conduct reviews, pair on complex problems, and build team capability. ● Contribute hands-on to critical modules; unblock the team on complex bugs, performance issues, and production fires. ● Represent Gold Tech in architecture reviews, tech debt prioritization, and platform-wide initiatives. Skills Required: ●

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: We are the Central Data and AI Product team, responsible for building and managing the analytical products and datasets that power decision-making across Paytm. We’re rebuilding how analytics gets done at the company. As a central product team, we drive the build and adoption of our data platform in close partnership with consumer teams across business verticals (Online Payments and Offline Payments) and functions (Growth, Risk, Data Science). About the Role: This is a senior Data Product Management role for someone who enjoys marrying business analytics problems to simplified data design solutions. You will own a portfolio within the Central Data and AI Product charter, lead a small, high-leverage team (1–2 PMs and 1 analyst), and partner with engineering and business stakeholders to ship products that scale across the organisation. Key Responsibilities: * Lead and grow a team of product managers and analysts (1–2 PMs and 1 analyst) — hiring, coaching, performance management, and career development. * Drive the end-to-end data product development lifecycle — from discovery and scoping through delivery, adoption, and iteration. * Define and articulate the product vision, strategy, and roadmap in alignment with company goals and market trends. * Partner with cross-functional teams — business, growth, risk, and data science — to understand customer needs and align product offerings to work cleanly with agentic analytical workflows. * Work closely with engineering on technical design, development, sprint planning, and prioritisation across our stack (AWS, Spark, EMR, EC2, Hive, Trino, Superset)

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire an Enterprise GTM Lead to own the go to market charter for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead business managers and client onboarding managers, and will work closely with enterprise sales teams to drive pipeline, deal conversion, onboarding, and client success. The role sits at the center of Paytm’s enterprise AI charter and involves shaping GTM strategy, enabling sales teams, supporting client pitches, structuring commercials, and ensuring strong post sale execution. The candidate will be responsible for building a repeatable enterprise sales motion for Paytm AI agents, including Pi Commerce and future AI products. The role requires strong commercial judgment, enterprise stakeholder management, execution discipline, and ability to work across sales, product, technology, finance, and marketing teams. Key Responsibilities Enterprise GTM Strategy and Business Ownership Own the enterprise GTM strategy for Paytm AI agents across existing and new enterprise clients. Build and execute sales enablement, pipeline generation, deal conversion, onboarding, and account expansion plans. Work with leadership to define target segme