Capacity Planning Lead Jobs

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workflows Pr

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in New York City for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workf

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workflows Pref

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role The Robinhood Crypto Compliance team supports all of Robinhood in developing and deploying new and enhanced crypto products and services compliantly. They serve as Robinhood’s primary point of contact for compliance matters related to the firm's crypto business. This team is responsible for providing guidance, training, testing and supervisory support, acting as an escalation point, general policy and procedure updates and implementation, and acting in an advisory capacity to provide regulatory guidance as applied to crypto. As the Crypto AML Program Manager , you will report to Robinhood Crypto’s AML Officer and play a key role within the Robinhood Crypto Compliance team. In this position, you will coordinate with financial crimes and fraud teams to support our compliance with all applicable regulatory requirements. You will guide the development, testing, deployment, and retrospective assessment of new and enhanced crypto products. By collaborating with Product, Risk, and Legal, you will ensure our product offerings meet all regulatory and internal policy requirements. Additionally, you will partner with international colleagues and external business associates to implement program updates and corrective actions! This role is based in our Denver, CO, Menlo Park, CA, New York, NY, Westlake, TX office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their in revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do You will act in a player-coach capacity and will be accountable for supporting associates in delivering against target set goals and mentoring in subject matter expertise. You will manage a small team of TechOps Payments Analysts. Responsibilities Champion metrics-driven analysis to continuously assess and optimize team performance, with a strong focus on automation Leverage automation to streamline data reporting and deliver timely, data-driven insights to management/key stakeholders Utilize data as a core tool for guiding people management strategies and optimizing team productivity Play a key role in weekly business reviews (WBR), using data to lead discussions support decision-making Manage capacity and scheduling, dividing and assigning work between team members. Lead independent discussions with TechOps, Engineering and XFN Partners to unblock complex reconciliation issues. Ensure your team has strong data analysis and Technical skills needed to be successful in their role. Setting clear goals and expectations for individual and team performance. Foster a culture of continuous improvement to refine team processes and procedures. Support recruitment and hiring initiatives. Coach and mentor individuals to meet career via structured career development conversations. Provide continuous performance feedback and facilitate periodic formal performance reviews. Drive and own initiatives that make the

About the Team At OpenAI, the User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving company priorities. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are looking for a senior program manager to build the safety, quality, and risk operations supporting a new category of consumer devices. You will translate ambiguous product risks and evolving requirements into practical operating models, workflows, escalation paths, launch-readiness plans, and cross-functional decision-making. This is a foundational role: the systems you build will shape how OpenAI launches, monitors, and improves a new category of consumer devices safely at scale. You will help establish how potential safety incidents, product-quality concerns, sensitive customer escalations, privacy-sensitive issues, and other emerging device risks are identified, investigated, resolved, and incorporated into product and operational improvements. You will turn incomplete requirements into practical workflows, decision rights, launch plans, quality controls, measurement, and durable ownership. The role centers on program building, operational judgment, and execution. We welcome candidates from product safety, quality assurance, regulatory operations, technical program management, healthcare, medical devices, aerospace, consumer technology, and other environments involving complex products or regulated risks. Direct consumer-hardware experience is helpful but not required. The strongest candidates learn unfam

About the Team OpenAI’s Industrial Compute organization is responsible for building and scaling the infrastructure that powers our most advanced AI systems. Through a combination of strategic partnerships and self-built campuses, we are developing data center infrastructure at unprecedented scale and speed. The Data Center Delivery organization works across design, construction, commissioning, operations, vendors, and equipment suppliers to turn infrastructure plans into operational capacity. As projects progress from construction through commissioning and turnover, maintaining accurate equipment information, asset records, schedules, and documentation is critical to ensuring infrastructure is ready to operate and maintain. About the Role We are seeking a Maintenance Analyst to support the build, commissioning, and turnover of large-scale data center infrastructure. This role sits within the build organization and serves as a key connection point between equipment vendors, construction teams, commissioning teams, and the systems used to manage physical infrastructure. The Maintenance Specialist will ensure vendor equipment information is accurately captured, validated, and assigned to the appropriate equipment records, logs, and asset tags as infrastructure is installed and commissioned. In addition to equipment and maintenance data management, this person will provide real-time coordination and scheduling support as construction and commissioning activities progress. This role is well suited for someone who is highly organized, comfortable working with technical equipment information, and able to operate effectively in a fast-moving field environment. Key Responsibilities Own the collection, validation, and entry of vendor equipment information into equipment logs, asset registers, tagging systems, and infrastructure management tools. Maintain accurate equipment records, including manufacturer information, model and serial numbers, location, system association, war

About the Team OpenAI Finance helps ensure the organization is positioned for long-term success as we pursue our mission. The Strategic Sourcing & Procurement team enables OpenAI to scale responsibly, securely, and at speed by helping teams choose the right external partners, structure strong commercial agreements, and build resilient supplier ecosystems. We work at the intersection of innovation and execution, partnering closely with leaders across the company to turn rapidly evolving needs into scalable, compliant, and economically sound solutions. Professional services are a critical source of specialized expertise, capacity, and operational leverage across OpenAI. Our work spans consulting and advisory services, finance and accounting, legal, people and talent, managed services, and other enterprise capabilities. Done well, sourcing becomes a source of trust and momentum—helping teams move faster with the right partners, clearer outcomes, stronger economics, and appropriate safeguards. About the Role We are seeking a Strategic Sourcing Lead to own and execute OpenAI’s category strategy for Professional Services. This is an experienced individual-contributor role for a high-velocity, hands-on sourcing operator who can set category priorities, own complex work end to end, exercise sound judgment, influence senior stakeholders, and build scalable category mechanisms in a rapidly growing organization. You will turn incomplete information, shifting priorities, and unclear decision paths into practical next steps and disciplined execution. You will manage a broad portfolio of services engagements—from strategic advisory relationships and enterprise programs to high-volume statements of work. Partnering directly with leaders across Finance, Accounting, Legal, People, Extended Workforce, and business teams, you will set category priorities and translate needs into clear sourcing strategies, executable engagement models, and measurable outcomes. You will operate inde

About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving areas of work. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are seeking a Device Safety & Risk Operations Specialist to build the safety operating model for a new category of consumer hardware. This is a senior individual-contributor role for someone who can turn emerging product risks and incomplete requirements into practical workflows, controls, launch plans, and durable systems. You will define how product-safety incidents, critical escalations, regulated cases, and privacy-sensitive issues should be identified, investigated, escalated, resolved, and learned from. You will also establish operational requirements for case management, data access, decision logging, quality assurance, monitoring, and cross-functional response. You will stand up priority workflows through launch and early operations, then help transition them into durable homes across USRO and partner teams. The right person combines deep operational judgment with strong technical and hardware product fluency. They can move from executive-level risk framing to detailed workflow design, tabletop exercises, launch readiness, frontline guidance, and post-launch improvement. Location / work model: San Francisco, CA; hybrid, 3 days/week in-office. Please note: This role may involve exposure to sensitive or concerning material. Strong discretion, judgment, and resilience are essential. In This Role, You Will:

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 At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving areas of work. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are seeking a Device Safety & Risk Operations Specialist to build the safety operating model for a new category of consumer hardware. This is a senior individual-contributor role for someone who can turn emerging product risks and incomplete requirements into practical workflows, controls, launch plans, and durable systems. You will define how product-safety incidents, critical escalations, regulated cases, and privacy-sensitive issues should be identified, investigated, escalated, resolved, and learned from. You will also establish operational requirements for case management, data access, decision logging, quality assurance, monitoring, and cross-functional response. You will stand up priority workflows through launch and early operations, then help transition them into durable homes across USRO and partner teams. The right person combines deep operational judgment with strong technical and hardware product fluency. They can move from executive-level risk framing to detailed workflow design, tabletop exercises, launch readiness, frontline guidance, and post-launch improvement. Location / work model: San Francisco, CA; hybrid, 3 days/week in-office. Please note: This role may involve exposure to sensitive or concerning material. Strong discretion, judgment, and resilience are essential. In This Role, You Will:

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 At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a new team within USRO focused on building operational capacity for new, ambiguous, or fast-moving areas of work. The team helps define what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. As a Strategic Operations Lead, you will focus on large, cross-functional initiatives that require clear thinking, technical fluency, strong execution, and the ability to bring structure to undefined problems. About the Role We are seeking a Strategic Operations Lead to drive new and existing strategic operating builds across User Safety & Risk Operations. This is a senior IC role for someone who can turn broad, undefined priorities into clear operating models, launch plans, requirements, stakeholder alignment, documentation, reporting, and execution rhythms. This role will often support initiatives where OpenAI is developing new products or partnerships and the operating model is still being defined. These programs have a direct user safety and risk nexus because new deployment models can change what signals OpenAI can see, who owns response decisions, and how user-impacting risks are detected, escalated, and resolved. You will clarify what OpenAI owns, what partner teams own, what signals we can reliably monitor, how issues should be escalated, and how the workflow should evolve from launch support into a durable operating model. The right person is highly strategic and deeply practical. They can move from executive-level framing to detailed workflow design, stakeholder management, SOPs, launch readiness, ri

About the Team The Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training. We take data center designs, turn them into real, working systems and build any software needed for running large-scale frontier model trainings. Our mission is to bring up, stabilize and keep these hyperscale supercomputers reliable and efficient during the training of the frontier models. About the Role As a Software Engineer on the Frontier Systems team focused on power management, you will work on critical infrastructure to support cutting-edge research. With large-scale supercomputers consuming substantial amounts of power, managing this efficiently is key to maximizing computational capacity. This role is critical to ensuring that our cutting-edge research supercomputing infrastructure runs smoothly, while maintaining reliability and grid-level power stability. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: Develop and implement system-level and software-level solutions to optimize power usage in large-scale supercomputers, ensuring efficient and reliable operations. Build automation to monitor power consumption patterns during training workloads and design algorithms to stabilize these fluctuations, preventing issues with grid reliability. Work with researchers and engineers to design tools for real-time monitoring, detection, and remediation of power-related hardware and system faults. Collaborate cross-functionally to translate complex electrical system requirements into code, while driving continuous improvements in power man

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Strategic Sourcing & Procurement function plays a critical role in enabling OpenAI to deliver impact across research, product development, technology infrastructure, and services by helping the company scale responsibly, securely, and with strong commercial discipline. Our work sits at the intersection of innovation and execution. We partner closely with teams across OpenAI to translate rapidly evolving business needs into scalable, compliant, and economically sound external partnerships. As OpenAI continues to grow at pace, services sourcing is becoming increasingly strategic across the company. Every business unit relies on external service providers in different ways — to extend capacity, access specialized expertise, support operations, and accelerate execution. Done well, Procurement becomes a source of trust and momentum, helping OpenAI move faster with the right partners, stronger commercial outcomes, and the right level of protection. About the Role We are seeking an experienced Strategic Sourcing (GTM) Leader to lead strategic sourcing and commercial enablement for OpenAI’s Go-to-Market organization across B2B and B2C channels. You will manage substantial and rapidly growing spend while shaping sourcing strategies and scalable commercial pathways across Media, Creative, Production, Influencer, Agency, Sponsorships, Analytics, Communications, and Event suppliers in support of high-impact global initiatives. You’ll help evolve our GTM procurement function from reactive deal support into a speed-enabling, scalable commercial engine that delivers cost efficiency, launch readiness, and strong governance in a fast-moving environment. In this role, you will: Develop and execute sourcing strategies across GTM, Brand, Global Affairs, Events, Growth, and Partnership activities—spanning both B2B and B2C channels—that align with our mission and b