Development Engineer 4 Rdkv Cpp 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 are searching for a Salesforce Technical Lead, with expertise in building robust and scalable solutions to join Trustpilot’s Go-to-Market Technology department. This role will be pivotal in shaping large strategic projects within our Salesforce platform, collaborating across our commercial, marketing and customer service teams. The ideal candidate will have a strong background in up-to-date and current Salesforce Development, a proactive approach to operational excellence and a keen eye for system architecture, code quality, as well as process automation. This is a new position and is a key link with the business-wide Salesforce team, which is responsible for the entire company’s Salesforce ecosystem. What You’ll Be Doing: Salesforce Development & Architecture Design, develop, and implement custom Salesforce solutions using Apex, Visualforce, Lightning Web Components (LWC) and other programmatic capabilities to meet the needs of the GTM Tech team and wider business needs Develop and maintain complex Salesforce Flows and automation, ensuring adherence to best practices and optimal performance Providing end-to-end project leadership: from initial solution design, establishing delivery timelines, and cross-functional problem solving to final delivery and senior-level reporting Integrate Salesforce with internal and external systems using APIs and var

About the role We are seeking an experienced and detail-oriented Information Security and Cloud Security Auditor to join our team. The ideal candidate will have 3-7 years of expertise in data security and privacy control implementation, internal auditing, third-party risk management, cybersecurity governance, and cloud security (banking sector preferred). This role will be responsible for conducting comprehensive IT and cloud security audits, ensuring compliance with regulatory requirements, and enhancing our information security policies and procedures. Key Responsibilities -Conduct IT and cloud security audits across various domains, including IT General Controls (ITGC), Information Security Controls, Cloud Security, Network Security, Vulnerability Management, and Vendor Risk Assessments. -Assess compliance with relevant laws, regulations, industry standards, and organizational policies across both on-premises and cloud environments. -Develop and enhance information security and cloud security policies and procedures in alignment with industry best practices. -Maintain thorough documentation of audit findings, risk assessments, security measures, working papers, audit program checklists, and evidence for internal and external reporting. -Validate ITGC, cloud security, and application-specific controls and manage audit documentation, risk assessments, evidence gathering, and control testing. -Follow up on audit findings and ensure timely closure of non-compliance and security issues identified during audits. -Manage and oversee third-party risk assessments and audits, ensuring robust security controls are implemented across traditional and cloud-based service providers. -Lead and participate in the development, migration, and implementation of security controls and policies for network and cloud security solutions. -Conduct risk-based security assessments of internal, vendor, and third-party hosted environments, covering both traditional IT infrastructure and cloud

About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a member of our AI Product Counsel team, you will advise the teams building and deploying OpenAI’s business products, including ChatGPT Business, ChatGPT Enterprise, and our API platform. You will partner closely with Product, Engineering, Safety, Security, Privacy, Strategy, Go-to-Market, and other Legal teams on issues spanning enterprise product development, model launches, customer data protections, administrative controls, strategic partnerships, and the responsible deployment of increasingly capable AI models. This is a unique opportunity to help shape how frontier AI products are built and delivered to businesses. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Serve as a strategic legal partner to teams developing ChatGPT’s business products, enterprise features, and API offerings. Advise on product design and launches involving enterprise administration, data governance, identity and access, connectors and integrations, agentic capabilities, and voice and multimodal experiences in the B2B space. Counsel teams on deploying frontier AI capabilities responsibly while balancing customer commitments, safety, security, and privacy. Support strategic partnerships and distribution arrangements, including cloud platforms, resellers, and other third-party channels through which customers access OpenAI models. Partner with Commercial Legal, Privacy, Security, Safety, Product and Product Policy, and Go-to-Market teams on custom

About the Team OpenAI’s Global Affairs team engages with governments, policymakers, civil society, community organizations, and other stakeholders around the world. The State and Local Government Affairs team leads OpenAI’s engagement with state and local governments across the United States and works cross-functionally to advance policies and partnerships that support OpenAI’s mission. About the Role As Government and Community Affairs Manager, you will help support OpenAI’s engagement with state and local policymakers, community organizations, civic leaders, educational institutions, workforce partners, and other stakeholders across California. Reporting to the State and Local Government Affairs Lead, Western Region, you will develop and maintain relationships with elected officials, agency leaders, legislative staff, local government representatives, and community partners. You will monitor and analyze policy developments, support advocacy and engagement strategies, and help ensure that California stakeholders understand OpenAI’s technology, mission, and approach to responsible AI development. This role extends beyond traditional government affairs. You will also help develop community partnerships, educational initiatives, events, and other programs that demonstrate how AI can benefit people and communities across California. You will work closely with colleagues across Global Affairs, Legal, Communications, Partnerships, Product, Go to Market, and other teams to connect OpenAI’s policy priorities with meaningful external engagement. Although the role will focus primarily on California, you may also support engagement in other Western states on an ad hoc basis. We are looking for someone who is flexible, collaborative, comfortable operating in a fast-moving environment, and able to approach emerging needs with sound judgment and a bias toward action. In this role, you will: Help develop and execute OpenAI’s state and local government affairs and community engage

About the Team The Applied AI team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the leader of our ADEs in the Large Enterprise segment, you’ll help companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the Role We are seeking an Applied AI Engineering leader to ensure the technical success of our most strategic Large Enterprise customers across EMEA. In this role, you will manage the entire implementation journey, ensuring seamless platform integration. As the voice of our customers, you will align technical teams to deliver a consistent and exceptional experience throughout the customer lifecycle. Success will be measured by live production applications, increased API adoption, and impactful customer stories that demonstrate the value of our technology. This role is open in both our London and Munich offices. 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 the strategy and operating model of the Large Enterprise Applied AI team, ensuring alignment with company objectives and the evolving needs of our customers. Lead, build, and mentor a team of high-performing ADEs to deliver exceptional customer outcomes, as demonstrated by production customer applications and increased API adoption. Serve as the technical advocate for our customers, synthesizing their needs to develop the Research and Applied Product/Engineering roadmaps. Act as the primary technical escalation point during development, fostering trust and maintaining direct communication with executive-level

About the Team The CoT Monitorability team at OpenAI studies whether and when the chain-of-thought of frontier reasoning models is monitorable enough to support scalable oversight. We study how to measure monitorability , which training mechanisms affect monitorability, and speculative methods to improve monitorability. While we mostly focus on CoT monitorability at the moment, we care more generally about any form of monitorability, auditing methods, and improving alignment. We were the first to show that chain-of-thought monitoring can be a practical additional safety mechanism, and today our monitoring systems are actively used on OpenAI’s largest RL training runs to detect misbehavior. The issues we surface are then used to help improve our reward functions, environments, etc (without directly training against a CoT monitor). Our work sits in Alignment and intersects with model training, alignment evaluations, monitoring, and frontier-risk research.We care most about monitorability where the stakes are high, and about preserving useful oversight signals as models become more capable. About the Role We’re looking for a researcher with strong empirical ML expertise and a deep interest in model behavior, alignment, or interpretability. Direct chain-of-thought interpretability experience is welcome but not required; strong candidates may come from broader interpretability, alignment, model training, or investigative model-behavior work. As a researcher on the Alignment team, you will design and run experiments that improve our understanding of model monitorability. You will investigate how training interventions across the model-development pipeline influence whether reasoning remains legible, build evaluations that make those questions measurable, and help translate findings into practical oversight and training recommendations. You may also help develop new monitoring models or methods and apply them to OpenAI’s largest training runs. This role is especially well

About the Team OpenAI’s Marketing team helps translate complex technology, research, and product moments into work that can be understood by audiences around the world. The team brings together creative direction, design, writing, production, strategy, marketing, and regional partners to deliver campaigns, launches, films, events, brand systems, social, digital, OOH, experiential, and emerging formats across global markets. This role sits close to creative, production, Brand Marketing, Resource Management, agencies, and cross-functional partners. It is designed for someone who can turn approved strategic direction into a clear program path and keep that path moving—from goals and operating model through creative development, production, launch readiness, and closeout. The role will work closely with Resource Managers to anticipate resource needs, maintain accurate allocations, and identify gaps early enough to address them before they become delivery risks. About the Role As a Strategic Operations Lead, Marketing, you will help design and run the leadership operating model for OpenAI's Marketing organization. This is a senior role for someone who has built 0-1 operating systems in high-growth marketing environments and can move fluidly between strategy, planning, executive communication, and hands-on execution. We're looking for someone who can bring structure to ambiguity without adding unnecessary process: a strategic chief of staff who can stand up planning cycles, QBRs, headcount, prioritization, resourcing asks, investment governance rhythms, leadership cadences, while partnering with strategy & operations managers on budget forecasting, spend execution, variance analysis, and reporting. This role is based in San Francisco, CA. We use a hybrid work model with in-office collaboration Monday through Wednesday and offer relocation assistance to new employees. In this role, you will: Build and run the core Marketing planning system, including annual and half-ye

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team includes External Communications, Internal Communications, and other strategic communications functions. This team’s ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role We’re looking for a senior communications leader to shape how OpenAI communicates about its emerging ads and monetization business. This person will define the global narrative, lead communications for major product and business milestones, and build sustained programs that explain our approach to ads and monetization clearly and credibly. The role will be central to showing how OpenAI can develop advertising experiences that are useful to people, valuable to businesses, transparent in how they work and consistent with our mission. You will work closely with Product, Go-to-Market, Marketing, Policy, Legal and Partnerships to anticipate opportunities and risks, develop integrated campaigns and help the business scale with trust. You will also serve as a trusted advisor to senior leaders on positioning, reputation, media strategy and the broader industry conversation. This is both a strategic and hands-on role. The right person will be comfortable defining a long-term communications strategy, building the systems and relationships needed to execute it, and personally leading through high-profile launches and fast-moving issues. This role reports to the VP of Communications and is based in San Francisco, CA. We use a hybrid work model of four days per week in the office and offer relocation assistance In this role, you will: Define and lead communications strategy for OpenAI’s ads and monetization initiatives, from global narrative development through launches and sustained storytelling. Build a clear, differentiated story about how OpenAI approache

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

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 OpenAI is seeking a Real Estate Lead to own land acquisition strategy and site-control execution for our next-generation data center portfolio across the U.S. This role sits at the front end of infrastructure delivery, translating market intelligence, broker/developer relationships, and commercial judgment into credible shovel-ready positions that meet OpenAI’s power, land, permitting, and expansion requirements. The Real Estate Lead will not operate as a traditional transactional real estate function. The scope is to help shape where OpenAI can build, secure the right land positions early, structure defensible commercial terms, and coordinate the legal, technical, and development work required to move opportunities from sourced lead to controlled site and ultimately to readiness handoff. This is an individual contributor lead role and does not have direct reports initially. The role also owns market prioritization and portfolio-level acquisition strategy across target geographies, and is expected to run multiple negotiations in parallel while translating site-control work into executive-ready acquisition recommendations. Key Responsibilities Own market prioritization and portfolio acquisition strategy across target geographies, including scenario analysis for speed, scale, expansion potential, and risk-adjusted economics. Proactively source and evaluate land parcels at scale to support long-term data center growth across priority markets. Build and manage a national pipeline of

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

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 Team The ChatGPT Model Flywheel team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement. Team Focus Areas Model Experimentation: Enable rapid, safe model validation for ChatGPT and Codex products through experiment automation and lifecycle management. Model Deployment: Ensure safe, scalable deployment of model capabilities with robust rollout and operational tooling. Automate capacity management and incorporate platform-wide health monitors. Model Measurement: Build comprehensive evaluation and measurement systems for model quality, from user signals to launch scorecards. Improve end-to-end feedback loops for continual model improvement. Key Partnerships Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API. In this role, you will: Elevate and consolidate ChatGPT’s harness, context management, and system prompt frameworks. Drive expansion and improvement of multi-tier model experiences. Support and scale self-serve experiment capabilities and automated guardrails. Lead model rollout automation, capacity management, and health monitoring. Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.). You might thrive in this role if you have: Proven experience leading engineering teams in complex, cross-functional environments. Demonstrated success shipping production systems at scale (ideally for AI or large backend services). Deep understanding of model-driven product development, deployment lifecycle, and measurement tooling. Excellent communication and collaboration skills—experience interfacing directly with engineering, research, and product stakeholders. Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus. Why Work With Us Tackle highly impactful technical challenges at the cutting edg

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team The Solutions Engineering team consists of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, Research, and Security to translate frontier AI capabilities into practical workflows that create measurable impact. Cybersecurity is one of the most important areas where AI can help. As frontier models become increasingly capable of reasoning across code, logs, infrastructure, vulnerabilities, and security evidence, customers need expert guidance to evaluate and deploy these systems safely. Our Field Security Specialists help security leaders and practitioners apply OpenAI models, APIs, Codex, agentic workflows, and emerging cyber capabilities to real defensive challenges. About the Role We are looking for a Manager of Field Security Specialists to build and lead our customer-facing cyber solutions engineering function. This is a hands-on leadership role for someone who can develop an exceptional team while remaining close to the technology and our customers. You will establish the operating model for the function, raise the quality of specialist engagements, and personally support our most strategic and technically complex customer opportunities. You will work across CISO-level strategy, practitioner-level cybersecurity challenges, and hands-on solution design. Your team will help customers explore workflows including application security, secure software development, vulnerability management, threat modeling, cloud and identity security, SOC operations, detection engineering, incident response, and security validation. This is not an internal CISO or corporate incident-response role. It is a customer-facing leadership opportunity focused on helping defenders achieve safe, measurable outcomes with frontier AI. In this role, you will: Hire, coach, develop, and lead a high-performing team of Field Security Specialists. Establish the