Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Replit is building the security GRC function that will scale with an AI-native product. As the Risk & Compliance lead, you'll own our certification and audit program end to end: SOC 2, ISO 27001, and eventually ISO 42001 (AI management systems), while also owning the company's master security risk register and continuous compliance monitoring. You'll report to the Head of Security GRC, who retains overall accountability for the risk program, and work closely with Engineering to make sure controls hold up in practice, not just on paper. What You'll Do Own the end-to-end certification roadmap (SOC 2 Type II, ISO 27001, and future frameworks like ISO 42001) including scoping, gap assessments, remediation, and audit execution Manage relationships with external auditors and drive the annual audit calendar so certifications renew without last-minute scrambles Own and maintain the company's master security risk register including risk identification, scoring methodology, treatment plans, and residual risk reporting Build and maintain continuous compliance monitoring so control status reflects real-time state rather than point-in-time snapshots Own the core audit artifacts that back every certification including ISMS documentation, Statements of Applicability, risk assessments, and potentially FedRAMP System Security Plans (SSPs) Run regular audits and readiness assessments, and track remediation of findings and control gaps to closure Support GDPR and broader privacy compliance alongside the Legal/Privacy team, without owning the legal interpretation of requirements Partner with the GRC Engineer to define what evidence collection and control monitoring should be automated versus manually reviewed Track and
Jobs in United States
Platform Engineering Lead in United States
3,022 active opportunities · Updated October 2026
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Explore current platform engineering lead jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Replit’s ecosystem is powered by an expanding array of external services and essential AI model partners. As our lead for Security Vendor Risk & Contract Reviews, you will architect and execute a risk management program focused on substantive evaluation rather than just processing checklists. You’ll analyze SOC 2 documentation, security assessments, and system architectures to determine actual risk profiles, collaborating with our Legal team to secure necessary contractual protections. This role reports to the Head of Security GRC and involves high-impact partnerships across Legal, Engineering, and Product teams. What You'll Do Run substantive third-party risk management (TPRM), independently evaluating real risk, not just processing questionnaire responses Review SOC 2 reports, pen test findings, and architecture documentation to form an independent view of vendor risk, extending the same rigor to AI/model providers Partner with Legal on vendor and AI contract terms, including DPAs, subprocessor agreements, and AI-specific provisions Review contracts for non-standard security language when flagged by Legal or deal desk, and recommend redlines Maintain the vendor and AI/model risk register, feeding findings into the company's master risk register Enable sales through maturing the customer trust program Build the capability for continuous monitoring of vendor ecosystem Required Skills & Experience 8+ years in third-party/vendor risk management, security risk, or a related GRC role Demonstrated ability to independently assess vendor risk rather than relying on questionnaire responses alone, fluent in reading SOC 2 reports, ISO certificates, pen test summaries, and architecture documentation Experi
$100K – $500K/yr
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a highly skilled and experienced Engineer to lead post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this role, you will be responsible for developing and executing detailed power measurement strategies on silicon, correlating results with pre-silicon models, and driving improvements across power architecture, design, and modeling methodologies. You will serve as a key technical leader, interfacing across design, architecture, validation, and systems teams to ensure silicon meets power and performance specifications under all operating conditions. This role is hybrid, based out of Toronto, ON or Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who you are A Principal-level engineer with 8+ years in silicon power analysis and characterization, and a Master’s or PhD in EE, CE, or related field. Deep understanding of digital and mixed-signal power domains, including DVFS, leakage vs. dynamic power, and power gating. Highly proficient in lab-based power measurement using oscilloscopes, current probes, power analyzers, and SMUs, plus Python/Perl/MATLAB
From $295.3K/yr
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Engineering Manager, Home Infrastructure The Home Infrastructure team builds the mission-critical backend and data systems that power Roblox’s Homepage and Experience Details Page, two of the highest-traffic surfaces on Roblox. These surfaces reach the vast majority of Roblox’s daily active users and are core drivers of discovery, engagement, retention, and platform growth. We are a full-stack product infrastructure team responsible for content distribution across Roblox. Our systems support multiple modes of user interaction, including exploratory browsing, directed discovery, and personalized content recommendations across the many types of content that make up the Roblox ecosystem. This team sits at the intersection of large-scale distributed systems, machine learning-powered personalization, data infrastructure, and product experimentation. We partner closely with Machine Learning, Data Science, Product, Design, Frontend, Ads, Marketplace, Virtual Economy, and other teams across Roblox to build the platforms that help users find the most relevant and engaging content. As Engineering Manager for Home Infrastructure, you will lead a team of Backend and Data Engineers responsible for the e
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a Deployment Lead Life Sciences, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Life Sciences vertical, partnering with pharmaceutical companies, clinical research organizations, and other data and services providers to deploy next-generation AI capabilities across their drug discovery, development, and operations. You will own delivery end-to-end: embedding with Life Sciences customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York. We us
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own delivery end-to-end: embedding with Financial Services customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York City. We use a hybrid work model of 3 days in the office per w
About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a best-in-class family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from a diverse group of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams. The Team The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms. Responsibilities and Duties Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness. Own execution against program achievements and report validation progress and risks. Triage test failures, collect debug data, and collaborate on root cause analysis. Track
From $295.3K/yr
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox’s daily active users growing at a record pace, we are building the next generation of advertising in an immersive metaverse. Our team sits at the core of the Roblox Ads ecosystem, serving billions of impressions while providing the critical infrastructure that connects global brands with our massive community of creators. We are seeking a Tech Lead Manager (TLM) to drive the technical strategy and lead the execution of the Ads Experience team. This team is responsible for the full spectrum of our monetization experience, including Advertiser Experience (Roblox Ads Manager), Brand Experience (Brand Ads & Integrations), and Publisher Experience (Creator Monetization & Commerce). This is a foundational leadership challenge beyond standard ad-tech. As a TLM, you will be responsible for both the technical vision of our high-scale monetization backbone and the growth and management of a high-performing engineering team. You will pioneer AI integration and balance a three-sided marketplace economy in real-time while fostering a culture of technical excellence. You Will Drive Technical Strategy: Act as the technical authority for the Ads Experience team. Translate ambitious busi
About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to Semiconductor customers. You will own how solutions are scoped, built, shipped, and adopted across high-value engineering workflows such as RTL design, verification, and physical implementation. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the semiconductor vertical to deploy next-generation AI capabilities. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project m
We are looking for a disciplined and dynamic, Lead System Engineer – compute blade and rack Validation to join our growing compute rack validation team. As a diligent leader in Systems Engineering, you will drive multiple aspects of validation throughout the life cycle of the program. In this high visibility position, you will be part of a leading team to innovate and improve system bring-up and enablement abilities, as well as silicon and system validation to deliver the highest quality, industry leading technologies to market. Your technical leadership skills, validation and debug expertise will be necessary towards product development, definition, root cause and resolution. Your agility and collaborative approach will be essential to work within System Validation & other engineering teams (System Architects, SoC and Rack FW etc). The technical leader will be driving keys areas of system validation including leading first silicon & system bring-up (nodes and rack level systems) - rack level systems and blades will be based of ARM server architecture. Candidate will be immersed in challenging system enablement work, system validation (end-to-end) methodology, tests development and execution as well as triage/debug of critical issues to meet critical program milestones at POR quality. The candidate will also be a key contributor to state-of-the-art HW and lab capabilities for Grapchore’s system engineering. The candidate should be able to work in a global environment while maintaining a synergetic culture. Primary Responsibilities: Lead the systemenablement (including first silicon and other FW components) to ensure system capabilities are brought up as per plan of record and system architecture spec. Drive organization wide methodology for Firmware integration and best known configuration (HW/FW/SW) usage model by leading the release of deployment ready solutions. Develop key methodologies, lab HW and system SW capabilit
From $151K/yr
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity We are seeking an experienced and vision-driven Lead Enterprise Systems Engineer to join our engineering team. In this role, you will bridge the gap between business objectives, solution architecture, and hands-on execution. The ideal candidate remains actively involved in coding (roughly 70–80% of the time) while serving as the primary technical point of contact for project stakeholders. What you'll do Technical Vision & Solution Architecture Lead the architectural design, development, and deployment of resilient, scalable solutions in our Salesforce Platform for both Sales & CPQ. Translate business and product requirements into clear, technical roadmaps and system specifications. Establish engineering best practices, design patterns, coding standards, and testing strategies. Hands-On Execution & Quality Assurance Write clean, maintainable, and highly efficient APEX code alongside the Salesforce development team. Conduct thorough code reviews to ensure quality, security, and performance. Manage technical debt, proactively balancing speed of delivery with long-term system health. Team Leadership & Mentorship Provide technical guidance, direct support, and actionable feedback to Salesforce engineers. Mentor team members to foster technical growth and career advancement. Lead agile ceremonies (sprint planning, daily stand-ups, technical grooming, post-mortems). Cross-Functional Collaboration Partner closely with Technical Managers, Enterpri
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About this role This is a chance to help shape the next chapter of WRITER's product at a moment when generative AI is redefining how work gets done. As senior staff product manager, you'll report directly to Wil Pong, VP of Product, and operate as a force-multiplier across the product organization — setting direction where it's unclear, aligning stakeholders, and making sure our most critical initiatives ship with excellence. You'll own ambiguous, high-impact problem spaces that span multiple product areas and teams, and you'll be equal parts strategist and operator. One moment you're shaping a multi-quarter roadmap; the next you're rolling up your sleeves to unblock execution. We're looking for someone who thrives at the intersection of customer empathy, technical depth, and business judgment — and who is energized by turning complex, evolving AI capabilities into products customers love. We are open to hiring for this role at multiple levels, with compensation ranges scaled
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About this role This is a chance to help shape the next chapter of WRITER's product at a moment when generative AI is redefining how work gets done. As senior staff product manager, you'll report directly to Wil Pong, VP of Product, and operate as a force-multiplier across the product organization — setting direction where it's unclear, aligning stakeholders, and making sure our most critical initiatives ship with excellence. You'll own ambiguous, high-impact problem spaces that span multiple product areas and teams, and you'll be equal parts strategist and operator. One moment you're shaping a multi-quarter roadmap; the next you're rolling up your sleeves to unblock execution. We're looking for someone who thrives at the intersection of customer empathy, technical depth, and business judgment — and who is energized by turning complex, evolving AI capabilities into products customers love. 🦸🏻♀️ Your responsibilities Drive high-impact product initiatives end-to-end, from di
$151K – $205.3K/yr
Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: The Platform “Senior Software Engineer” will help lead the platform development by making architecture decisions to ensure we're building clean, maintainable, and beautiful applications. This person is responsible for maintaining, expanding, and scaling our platform systems that SCALE our Application Development team. Your “customer” is not Drata’s normal users, it’s developers bot
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab features must ship successfully across four distinct deployment platforms—Self-Managed, Dedicated, Dedicated for Government, and GitLab.com. Today, developers routinely discover platform compatibility issues late in development, triggering costly rework, delays, and emergency escalations. The Platform Readiness team is building an internal developer tooling capability that embeds platform readiness intelligence directly into GitLab's software development lifecycle to solve this problem. As an Intermediate Backend Engineer on the newly established Platform Readiness functional team in Developer Experience, you'll contribute
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