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Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma seeks an AI-Native Performance TPM to own performance prevention, diagnostics, and safe rollout for both our flagship products and next-gen AI features. This platform-level role spans desktop, browser and mobile; requires deep experience with performance testing (load, stress, endurance, interference), observability, and incident response. You’ll partner across Product, Platform, Performance Program and Product Support. Join us to keep Figma snappy quick! This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: This is a specialist Platform TPM owning horizontal, high-visibility performance programs that span: Flagship product performance (load times, FPS, memory) and AI features (model inference latency, throughput, cost, and reliability) Desktop, browser, native mobile (React Native / WebView), and WASM contexts Cross-org programs: observability/telemetry, regression prevention (performance CI), xfn performance forum, SEV mitigation, safe rollout of AI capabilities, and CE Planning (customer engineering / enterprise readiness) We’d love to hear from you if you have: 5+ years in performance engineering, performance TPM, platform TPM, or SRE with hands-on experience shipping performance programs for SaaS products Demonstrated experience with load, stress, performance or scalability testing and new-build comparisons Deep familiarity with web performance (FCP, LCP), rendering/FPS, WASM memory, mobile profiling (Xcode I

About the team Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity. Our work involves: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role As AI agents become more capable at software engineering, and automate more of our internal work, they could become a dangerous cyber threat. People in this role will help OpenAI prepare for security threats from advanced AI agent insiders. In this role, you will: Identify paths by which capable future internal AI agents could compromise OpenAI. Design security controls - focusing on measures with long lead times that benefit from advanced preparation. Stress-test defenses with AI agent evaluations and penetration tests You might thrive in this role if you: Are deeply technical across security and modern infrastructure, and are comfortable digging into the details of operating systems, cloud, containers, CI/CD, or distributed systems. Have strong software engineering skills and enjoy building prototypes yourself. Are interested in engaging with stakeholders and can do so effectively. Bonus: have experience securing cloud infrastructure, and are deeply familiar with core components of the AI stack. Compensation Range: $293K - $405K USD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy

About the Role This role will serve as a key execution partner to the GenAI Customer Compliance Manager, with a strong focus on supporting GenAI delivery workflows through embedded compliance operations and Legal coordination. The GenAI Compliance Operations & Programs Associate will sit at the intersection of Delivery, Ops, and Legal, ensuring that compliance considerations are integrated early in the project lifecycle, risks are clearly identified and prioritized, and Legal is engaged with the right context at the right time. By owning execution, coordination, and delivery integration, this role frees the Customer Compliance Manager to focus on strategy, governance, and risk frameworks. The role requires strong operational ownership, comfort with ambiguity, and the ability to drive alignment across fast-moving, cross-functional teams. Key Responsibilities Compliance Review Operations & Legal Coordination Manage end-to-end compliance review workflows for GenAI projects — from early-stage intake through review, approval, launch, and verification — in close partnership with Engagement Management and Delivery. Evaluate incoming work for compliance risk signals (e.g., data sensitivity, copyright exposure, privacy concerns); triage and prioritize requests for Legal based on risk, scope, and delivery timelines. Partner with Engagement Management to translate and execute risk mitigation at both the project and customer level, gather operational input to develop and prioritize systematic compliance controls, and train/educate Ops stakeholders on common or emerging compliance risks. Ensure Legal receives clear, structured, and actionable context; coordinate reviewers across Legal and internal teams to support SLA adherence. Identify workflow friction points and contribute to improving processes, templates, and prioritization frameworks. Maintain dashboards to track throughput, bottlenecks, SLAs, and risk trends. Risk Mitigation Solutions & Monitoring Support Eng

About Us Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About You As a Principal Systems Engineer at Gather AI you will be a technical leader, driving the development and integration of cutting-edge autonomous and passive sensing systems, bridging the gap between product vision, complex system requirements, hardware implementation, and real-world performance. What You’ll Do Take full technical ownership of the design, architecture, and integration of the autonomous data gathering systems in logistics and material handling environments. Collaborate with Product Management, Customers, and cross-functional engineering teams (e.g., Software, Hardware, Cloud, Test) to negotiate and finalize system boundaries and interfaces. Serve as a technical leader, mentoring less experienced engineers and setting the standard for systems engineering best practices. Possess specific, in-depth knowledge of hardware implementation and integration challenges for both active robotic components (e.g., actuators, controllers) and passive sensing modalities (e.g., RGB cameras, depth cameras). Drive trade-off analyses, risk assessment, and mitigation planning for critical system elements. Requirements BS, MS, or PhD

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Team AISI's Chem Bio (CB) team conducts technical research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team—made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists—who work closely with other technical and policy teams across government. Role Responsibilities We are building a dedicated engineering function within the CB team — a small team that owns the shared platform, tooling, and infrastructure that our research projects depend on. This role is a senior individual contributor within that function. The successful candidate will: Design and build reliable systems — architect and deliver core platform components that enable researchers to run experiments and ship results quickly, including LLM-based agent systems, evaluation frameworks, and supporting infrastructure. Work closely with researchers — translate varied research needs across general agents, sc

About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: Experience building systems in adversarial, fast-evolving environments Are comfortable with ambiguity and novelty Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. Significant experience

About the Team ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. We develop the systems and tools that make it possible to introduce new models, manage production deployments, respond to operational issues, and use infrastructure effectively at scale. Our work spans distributed systems, platform engineering, infrastructure automation, and developer experience. We partner closely with research, infrastructure, and product teams to make model deployment more reliable, more efficient, and easier to manage. About the Role We are looking for a software engineer with experience building or operating large-scale production systems. You will design and develop systems that support the model lifecycle in production, including deployment orchestration, configuration management, operational automation, reliability, and capacity management. You will help transform complex operational processes into scalable platform capabilities that enable teams across OpenAI to deploy and manage models with greater confidence and less manual effort. This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale. In This Role, You Will Build and evolve the platform used to deploy, configure, and manage models across ChatGPT. Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness. Create abstractions and tooling that simplify complex infrastructure and improve the developer experience. Automate operational workflows, including incident detection, diagnosis, mitigation, and recovery. Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them. Build systems that support capacity planning, resource allocation, and infrastructure utilization. Partner with research, infrastructure, and product engineering teams to identify common chal

The objective of this role is to assess legal risks in transactions and suggest risk mitigation strategies and provide legal advice and proactive support to the domestic, commercial and industrial retail business segments through daily inputs in the operations of the various retail business segment groups in that regard. The position is to actively provide support in drafting & negotiating contracts, Dispute resolution, workforce contracts, IPR issues and any other land and estate related issues. The position is also expected to support the Airports business segment with legal advice and actions as and when required Source: Adani Group | Job ID: 54949

The SCG Architecture team is hiring a Senior Power Integrity Co-Design Engineer to architect and deliver di/dt mitigation across silicon, package, board, and platform. This role bridges architecture, silicon, and platform — translating product noise targets into shipped specifications, and feeding silicon findings back into the next generation's build. Success in this role requires strong systems thinking and a willingness to accept ambiguity. It also requires the ability to apply AI as a force multiplier while maintaining rigorous engineering judgment. What you'll be doing: Architect voltage-noise mitigation across the full stack — silicon, package, board, platform — and own the codesign trade-offs between them. Co-design noise features with Speed, Power, Reliability, Circuit Design , Power-Arch, ASIC, and platform teams. You're the connective tissue across the codesign web. Work with other team members to define product-level voltage noise targets, drive them to closure, and sign them off at shipment. Build and take ownership of the Sim-to-Si correlation methodology for noise. You know when a model is lying and when silicon is. Model and prototype next-gen noise features — transient sense, droop response, mitigation IP, and codify them so every future program inherits them. Lead show-stopper noise bugs during bringup. The critical issues stop with you. Drive architecture-level codesign tradeoffs across V/F Power Noise Reliability Thermal (Noise-Variation) and (Noise-to-Closure) boundary work, where the highest-leverage innovation lives. What we need to see: BS / MS / PhD in EE, CE, or related (or equivalent experience). 5+ years in silicon power integrity, voltage noise, or PDN. Deep expertise in at least one of

ROLE SUMMARY Our Global Cyber Defense team is responsible for safeguarding Pfizer’s digital assets and infrastructure through proactive threat detection, response, and risk mitigation across on-premises, cloud, and hybrid environments. The Manager, Email Security Engineering is responsible for leading and advancing enterprise-wide protections across email, collaboration, and messaging platforms—critical threat surfaces within the Cyber Defense organization. Email remains a primary vector for phishing, business email compromise, malware delivery, and account takeover in the pharmaceutical industry. This role will lead the design, implementation, and continuous improvement of email security capabilities across our global enterprise. The role is critical to protecting research, clinical, manufacturing, and corporate environments by delivering resilient, scalable, and compliant controls that prevent, detect, and respond to email-borne threats. ROLE RESPONSIBILITIES Lead Email Security Engineering initiatives across enterprise email, collaboration, and messaging platforms, including secure email gateways, cloud email security, anti-phishing, anti-malware, and domain protection capabilities. Define and execute the email security strategy and roadmap in alignment with the evolving threat landscape, business priorities, and regulatory requirements. Own the engineering and lifecycle management of email security technologies, including deployment, configuration, policy tuning, automation, integration, performance, and continuous optimization. Strengthen defenses against phishing, business email compromise, malicious attachments and links, spoofing, impersonation, and account takeover through layered preventive and detectiv

Security Officer is responsible for executing security operations in alignment with the security strategy. This role involves supporting risk assessments, implementing mitigation measures, conducting patrols, managing access control, and ensuring the protection of assets to maintain a secure environment. Source: Adani Group | Job ID: 47814

Customer Success Manager - Growth and Retention The Customer Success Manager - Growth and Retention is responsible for reducing churn, improving customer health, and protecting recurring revenue through early risk detection, cross‑functional mitigation, and scalable retention programs. The role partners closely with Renewals, Customer Success, Customer Engagement, Competitive Intelligence, and Pricing & Packaging to orchestrate coordinated customer‑save strategies. This role also provides renewal objection handling expertise , enabling teams to navigate downsells, downgrades, competitive threats, pricing pushback, TCO/ROI concerns, and budget constraints. The ideal candidate excels at influencing cross‑functional teams, handling commercial risk, and translating customer insights into save actions. Key Responsibilities 1. Churn Risk Identification & Health Intelligence Maintain a standardized customer risk scoring framework leveraging health signals, product usage, support patterns, sentiment, and competitive exposure. Identify early risk indicators (e.g., discount cliffs, adoption gaps, under-deployed licenses, sponsor turnover). Partner with Renewal Ops, Data team to automate risk workflows in Salesforce Collaborate with Competitive Intelligence to map competitive displacement trends and update counter strategies. 2. Cross‑Functional Risk Orchestration (Renewals, CS, CI, Pricing) Lead weekly renewal risk reviews/war rooms with Renewals, CSMs/CEMs, and Sales to align on mitigation actions. Build account-level mitigation plans that include adoption interventions, executive alignment, value reinforcement, and commercial flexibility. Partner with Pricing & Packaging and Deal Desk to design controlled commercial offers (e.g., term/ramp, New Product Introductions, New SKU Impact, Product Bundling etc). Escalate systemic product, billing, or support issues and track resolution. 3. Renewal Objection Handling Serve as the subject‑matter expert for Re

About the role The Customer Success Manager - Growth and Retention is responsible for reducing churn, improving customer health, and protecting recurring revenue through early risk detection, cross‑functional mitigation, and scalable retention programs. The role partners closely with Renewals, Customer Success, Customer Engagement, Competitive Intelligence, and Pricing & Packaging to orchestrate coordinated customer‑save strategies. This role also provides renewal objection handling expertise , enabling teams to navigate downsells, downgrades, competitive threats, pricing pushback, TCO/ROI concerns, and budget constraints. The ideal candidate excels at influencing cross‑functional teams, handling commercial risk, and translating customer insights into save actions. What you’ll do 1. Churn Risk Identification & Health Intelligence Maintain a standardized customer risk scoring framework leveraging health signals, product usage, support patterns, sentiment, and competitive exposure. Identify early risk indicators (e.g., discount cliffs, adoption gaps, under-deployed licenses, sponsor turnover). Partner with Renewal Ops, Data team to automate risk workflows in Salesforce Collaborate with Competitive Intelligence to map competitive displacement trends and update counter strategies. 2. Cross‑Functional Risk Orchestration (Renewals, CS, CI, Pricing) Lead weekly renewal risk reviews/war rooms with Renewals, CSMs/CEMs, and Sales to align on mitigation actions. Build account-level mitigation plans that include adoption interventions, executive alignment, value reinforcement, and commercial flexibility. Partner with Pricing & Packaging and Deal Desk to design controlled commercial offers (e.g., term/ramp, New Product Introductions, New SKU Impact, Product Bundling etc). Escalate systemic product, billing, or support issues and track resolution. 3. Renewal Objection Handling Serve as the subject‑matter expert for Renewals by providing guidance, playbooks, and

Team Member - Security is responsible for executing security operations in alignment with the security strategy. This role involves supporting risk assessments, implementing mitigation measures, conducting patrols, managing access control, and ensuring the protection of assets to maintain a secure environment. Source: Adani Group | Job ID: 56831

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Senior Technical Program Manager for Hyperscale Operations, you will serve as the primary technical coordination lead for integrating Everpure’s Direct Flash Modules (DFMs) into next generation hyperscale storage platforms. Working closely with hyperscale customers and ODM partners, Everpure’s hardware and firmware engineering, product engineering, quality, operations, you will drive the end-to-end technical execution required to ensure DFMs are seamlessly integrated into customer-designed storage servers and L10/L11 manufacturing. You will lead cross-functional program execution from architecture alignment and platform qualification through manufacturing ramp, driving issue resolution, root-cause analysis, and technical risk mitigation to deliver reliable, high-quality deployments that meet aggressive customer milestones. WHAT YOU'LL DO Orchestrate Hardware NPI Execution: Lead cross-functional engineering teams through EVT, DVT, and PVT milestone gates for complex storage server and L10/L11 rack systems, delivering scalable, high-yielding hardware platforms to high-volume manufacturing. Orchestrate Technical Issue Resolution: Lead cross-functional triage across hardware, firmware, product engineering, and quality teams to drive root-cause analysis and resolve system-level qualification issues and platform bottlenecks. Accelerate Strategic Partner Performance: Direct global contract manufacturers and sy