Lead Platform Operations Program Manager Jobs

About the team The HR Shared Services team comprises four members, including the team lead, and supports benefits operations across 24 countries across the globe. The team manages end-to-end employee lifecycle processes, covering activities across the hire-to-retire spectrum. The role will be responsible for end-to-end Benefits administration, including Benefits enrollments, changes and cancellations, vendor management and escalations, renewals, reporting and reconciliations, employee queries, and Benefits-related payroll inputs. The role will also partner with internal stakeholders and vendors, support Benefits communications and compliance, maintain process documentation, and identify opportunities for process improvement, standardization, and automation, while supporting ad hoc Benefits projects and initiatives. We are looking for a candidate with 3-4 years of relevant experience in HR Shared Services, preferably with exposure to Benefits operations, and a strong understanding of Benefits. Position Expectations We are looking for Individual Contributor as part of the HR Shared Services team in India Manage end-to-end Benefits operations, vendor relations, employee escalations, and compliance within defined SLAs. Learn and perform newly transitioned processes and over time gain subject matter expertise in Benefits. Adhere to and demonstrate high proficiency in agreed critical metrics & SLAs Assist in building and maintaining the Standard Operating Procedures for Case Management Deliver high quality and consistent service delivery to all internal customers and partners and follow Standard Operating Procedures Key Skills & Abilities 3–4 years of hands-on experience in Core Benefits within an HR Shared Services or Global Benefits environment, preferably supporting the Americas region. Strong knowledge of Benefits administration and operations, with experience across areas such as health & welfare benefits, retirement/pension benefits, leave or statutory b

About the Role MongoDB is seeking a seasoned Vice President, Corporate Controller to lead the Company's global controllership organization at a pivotal stage of growth. This is a rare opportunity to shape the accounting function of a high-growth, publicly traded technology company as it scales into its next phase. Reporting to the Chief Accounting Officer, the VP, Corporate Controller will serve as a strategic thought partner to executive leadership and key cross-functional stakeholders, leading the strategy and performance of MongoDB's global accounting and external reporting function. This leader will own global accounting operations, international compliance, SEC reporting and technical accounting, global payroll, accounting center of excellence, and will serve as the Company's senior authority on U.S. GAAP. This is a high-impact, hands-on leadership role with responsibility for building and developing a global, distributed organization while driving transformation across people, process, and systems. The role will modernize accounting infrastructure, automation, and controllership, translate complex accounting matters into clear business decisions for senior leadership and help shape a scalable roadmap for MongoDB's next stage of growth. We are looking to speak to candidates who are based in San Francisco, CA or Palo Alto, CA for our hybrid working model. Responsibilities Set the strategic vision and operating model for global Controllership—building the maturity, scalability, and rigor needed to support MongoDB's next stage of growth Lead and develop senior leaders across the function, with accountability for organizational design, location strategy, talent development, succession planning, and cross-functional execution across a large, distributed global team Own the company's technical accounting positions and conclusions under U.S. GAAP, including complex and non-standard transactions, business combinations, stock-based compensation, and new accounting stand

About the Role We are seeking a Manager, Accounts Payable to lead Accounts Payable and Expense operations. This role will manage individual contributors and may oversee team leads while ensuring invoices, payments, reconciliations, tax reporting, and employee expenses are processed accurately and on time. The Manager, Accounts Payable will own team performance and execution while driving process improvements, automation, and reporting. You will work across Procurement, Accounting, Treasury, Tax, Finance, and other teams to resolve complex issues, strengthen controls, and improve the procure-to-pay experience. The ideal candidate is a reliable people leader who uses business context and data to make decisions, advises stakeholders, and delivers measurable operational improvements. What You’ll Do Lead, coach, and develop AP and Expense team members. Manage team performance, staffing, workload allocation, and day-to-day execution. Build a high-performing team with clear expectations, strong accountability, and consistent results. Oversee invoice processing, purchase order matching, coding, approvals, payments, vendor inquiries, and employee expense operations. Ensure AP and Expense activities are completed accurately, on time, and in accordance with company policies and controls. Own balance sheet reconciliations, AP close activities, accrual support, aging reviews, and related reporting. Lead annual 1099 reporting and support other AP-related tax and compliance requirements. Serve as the primary AP contact for internal and external audits, ensuring requested documentation is accurate and complete. Monitor unmatched invoices, open purchase orders, payment exceptions, duplicate payments, credits, and other outstanding items. Identify inefficiencies across AP and Expenses and lead process improvements that increase accuracy, efficiency, and scalability; Drive automation and AI initiatives related to invoice processing, matching, approvals, reconciliations, exception hand

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description As an Engineering Execution Manager within Compute DRAM Product Engineering , you will lead engineering program execution for assigned DRAM products from pre-silicon readiness through qualification, production ramp, and transition to sustaining teams. This is an individual contributor leadership role, you will lead product execution across functional engineering teams through influence, technical judgment, and accountability. You will also collaborate across engineering and business organizations to build integrated plans, solve complex execution challenges, and deliver products that meet quality, yield, schedule, supply, and business requirements. Your work will have a direct impact on bringing innovative memory products to market! This technical leadership opportunity will allow you to develop broad product knowledge, strengthen your leadership skills across different functional groups, and learn across the semiconductor product lifecycle. Responsibilities Lead product execution from pre-silicon readiness through qualification and production ramp, building integrated schedules, dependencies, actions and decision points. Collaborate across Product Development, Design, Technology Development, Test, Package, Module, Quality, Manufacturing, Planning, and business teams to align technical and product achievements. Drive problem-solving for product risks and failures by facilitating issue triage, root-cause alignmen

Role Description Dropbox is hiring a Head of Field & Partner Marketing to lead our global field and partner marketing organization and drive pipeline growth across our Sales-Led Growth (SLG) business and strategic partner ecosystem. This executive Go-To-Market (GTM) leader will own the regional marketing strategy, account-based execution, mid-to-bottom funnel demand engines, and partner marketing required to scale business-to-business revenue globally. While our PLG team focuses on the frictionless, self-serve transactional customer lifecycle, this leader owns the end-to-end marketing journey for sales-engaged and partner-led motions. This role requires an exceptional strategic operator who can orchestrate targeted account-based marketing (ABM) and regional demand generation alongside localized partner programs—including managing co-marketing initiatives with strategic AI technology ecosystems (ChatGPT, Claude, and Gemini) and supporting our distribution networks. Partnering closely with regional Sales and Channel leaders, this executive will oversee integrated campaigns, joint partner value propositions, content strategies, and comprehensive PLG to SLG customer lifecycle initiatives. Responsibilities SLG & Partner Pipeline Accountability: Own the strategic vision and performance metrics (creation, coverage, and acceleration) for both direct field pipeline and indirect partner-led business globally. Integrated Demand Generation: Lead the Integrated Marketing team to design and deploy highly optimized mid- and bottom-funnel acquisition campaigns that move prospects effectively through the sales pipeline. Content & Customer Campaigns: Oversee the upstream Campaigns team to deliver compelling content frameworks and high-impact customer marketing initiatives that drive post-sale engagement, adoption, brand advocacy, and net revenue retention (NRR). Partner Alliance & Co-Marketing: Develop and execute high-impact joint marketing programs

As Senior Group Manager of Experience Design on Datadog's Web Experience team, you will lead and grow the Experience Design group while remaining hands-on with the web experiences that matter most to our customers and business. You will manage two designers today and help shape how the team scales over time. You will set a high bar for craft and execution across research, journey mapping, interaction design, prototyping, implementation, and post-launch quality. You will also evolve AI-assisted and code-connected design workflows, partnering closely with Product Marketing, Growth, Web Engineering, and Web Content Engineering to move from ideas to shipped experiences. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and grow the Experience Design group, managing two designers today and helping shape the team as its scope evolves Hire, coach, develop, and set clear expectations for designers while maintaining a high bar for design craft Design priority web experiences from journey mapping and research through interaction design, prototyping, and shipped pages Prototype with AI and working code, use Figma MCP and Code Connect to keep design and implementation aligned, and work directly in the CMS when appropriate Own and evolve the team’s design process across discovery, critique, specification, handoff, and post-launch quality assurance Partner with Product Marketing, Growth, Web Engineering, and Web Content Engineering to shape priorities and deliver web experiences that support business goals Who You Are: Experienced across UX/UI, journey mapping, and web design, with a portfolio of shipped, high-traffic marketing or product marketing experiences and particular depth in web and product experience A people leader who remains actively involved in design

We are looking for a hands-on VP, Product Analytics to lead Product Analytics and build an AI-native analytics operating system across the company’s crypto, stocks, prediction markets, perpetuals, and stock futures products. You will set the analytics strategy, lead and develop the Product Analytics team, and ensure data consistently shapes product and business decisions. This is a player-coach role: you will operate at executive level while remaining technically close enough to review PRs, guide data modeling and pipeline design, and challenge analytical conclusions. You will own product and business reporting, experimentation, release measurement, diagnostic analysis, the Amplitude data stack, and the systems through which analytics work is delivered at scale. Lead Product Analytics Set the vision, priorities, operating model, and quality standards for Product Analytics. Hire, coach, and develop a high-performing team. Review analytical and data-engineering PRs, providing guidance on SQL, data models, pipelines, metric definitions, and methodology. Represent Product Analytics in executive and product decision-making. Allocate team capacity toward the company’s highest-impact opportunities. Build an AI-native analytics operating system Design how analytics work moves from business questions to trusted decisions across intake, data discovery, analysis, validation, reporting, and knowledge management. Build reusable AI tools to automate repetitive workflows, encode analytical standards, and improve the speed, quality, and consistency of delivery. Establish appropriate governance, validation, and human review for high-stakes decisions. Measure the system’s impact on turnaround time, analytical quality, experimentation throughput

We are looking for a hands-on VP, Product Analytics to lead Product Analytics and build an AI-native analytics operating system across the company’s crypto, stocks, prediction markets, perpetuals, and stock futures products. You will set the analytics strategy, lead and develop the Product Analytics team, and ensure data consistently shapes product and business decisions. This is a player-coach role: you will operate at executive level while remaining technically close enough to review PRs, guide data modeling and pipeline design, and challenge analytical conclusions. You will own product and business reporting, experimentation, release measurement, diagnostic analysis, the Amplitude data stack, and the systems through which analytics work is delivered at scale. Lead Product Analytics Set the vision, priorities, operating model, and quality standards for Product Analytics. Hire, coach, and develop a high-performing team. Review analytical and data-engineering PRs, providing guidance on SQL, data models, pipelines, metric definitions, and methodology. Represent Product Analytics in executive and product decision-making. Allocate team capacity toward the company’s highest-impact opportunities. Build an AI-native analytics operating system Design how analytics work moves from business questions to trusted decisions across intake, data discovery, analysis, validation, reporting, and knowledge management. Build reusable AI tools to automate repetitive workflows, encode analytical standards, and improve the speed, quality, and consistency of delivery. Establish appropriate governance, validation, and human review for high-stakes decisions. Measure the system’s impact on turnaround time, analytical quality, experimentation throughput

We are looking for a hands-on VP, Product Analytics to lead Product Analytics and build an AI-native analytics operating system across the company’s crypto, stocks, prediction markets, perpetuals, and stock futures products. You will set the analytics strategy, lead and develop the Product Analytics team, and ensure data consistently shapes product and business decisions. This is a player-coach role: you will operate at executive level while remaining technically close enough to review PRs, guide data modeling and pipeline design, and challenge analytical conclusions. You will own product and business reporting, experimentation, release measurement, diagnostic analysis, the Amplitude data stack, and the systems through which analytics work is delivered at scale. Lead Product Analytics Set the vision, priorities, operating model, and quality standards for Product Analytics. Hire, coach, and develop a high-performing team. Review analytical and data-engineering PRs, providing guidance on SQL, data models, pipelines, metric definitions, and methodology. Represent Product Analytics in executive and product decision-making. Allocate team capacity toward the company’s highest-impact opportunities. Build an AI-native analytics operating system Design how analytics work moves from business questions to trusted decisions across intake, data discovery, analysis, validation, reporting, and knowledge management. Build reusable AI tools to automate repetitive workflows, encode analytical standards, and improve the speed, quality, and consistency of delivery. Establish appropriate governance, validation, and human review for high-stakes decisions. Measure the system’s impact on turnaround time, analytical quality, experimentation throughput

Summary: We are seeking an experienced Senior DevOps Engineer with over 8 years in the field to lead the design, implementation, and management of infrastructure and deployment pipelines across hybrid environments, including on-premises data centers and the cloud. This role requires deep expertise in AWS, Azure, Kubernetes, Infrastructure as Code (IaC), CI/CD, and monitoring tools. The engineer will collaborate closely with development, QA, and operations teams to ensure the delivery of reliable, scalable, and secure enterprise-grade applications. Additionally, the role involves mentoring junior team members and leading automation initiatives. Responsibilities: Manage and support hybrid infrastructure, including physical data centers, AWS, and Azure services. Design and implement Infrastructure-as-Code using tools like Terraform, Pulumi, and CloudFormation. Configure and maintain Kubernetes clusters, ensuring scalability and high availability. Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, Bitbucket, and GitHub. Automate deployment, scaling, and monitoring processes. Set up and maintain observability using Grafana, Prometheus, and other monitoring tools. Perform root cause analysis of performance issues and participate in on-call support. Manage SSL/TLS and code signing certificates and implement infrastructure security best practices. Support compliance and audit requirements through documentation and monitoring. Collaborate with cross-functional teams to improve infrastructure reliability and delivery processes. Document processes in Confluence, track work in Jira, and contribute to knowledge sharing. Write root cause analysis and incident post-mortems to prevent future issues. Required Skills & Experience: 8+ years of experience in DevOps, Site Reliability Engineering, or related roles. Strong expertise with AWS and Azure services. Experience with Infrastructure-as-Code tools and GitOps. Proven experience with Kubernetes/EKS setup and

As a Regional Manager, Sales Engineering, you will lead a team of Sales Engineers and frontline leaders, driving technical execution, operational excellence, and team development across your region. You’ll act as a force multiplier by owning team performance, shaping execution standards, and partnering closely with Sales leadership to influence strategy, improve outcomes, and scale impact beyond individual deals. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead, coach, and develop a team of Sales Engineers, driving performance, engagement, and long-term career growth through regular feedback and structured development Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression Hire and onboard top talent across ICs and manager-level roles, building a high-performing team and accelerating ramp through structured onboarding and enablement Manage regional operations including resource allocation, utilization, KPI tracking, productivity, and skills development to ensure effective coverage across the territory c cross-functionally with Sales, Product, Marketing, Enablement, and Support at a senior level to align on regional strategy, GTM execution, and customer experience Drive operational excellence across the region by

About the role We’re looking for a Manager, Applied AI Architect to lead a team of Applied AI Architects. In this role, you’ll combine technical leadership, customer engagement, and team development to deliver exceptional customer experiences from pre-sales discovery and solution evaluation through deployment and adoption, driving real business impact. You’ll guide your team through complex customer challenges, help them navigate ambiguity, and ensure solutions are grounded in both strong technical thinking and clear business value. You’ll also partner closely with Sales, Deployment, Product, Engineering, and Research to create a seamless end-to-end customer journey. This role is open in our San Francisco or New York office. 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: Develop and communicate a clear strategic vision for the Applied AI Architect team, ensuring alignment with the company's overarching goals and the evolving needs of our customers. Guide and support a multifaceted team throughout the customer lifecycle, from pre-sales discovery and evaluation through deployment and adoption, ensuring clear technical account plans, measurable customer outcomes, and scalable systems and processes. Act as a trusted escalation point for key customers within your sales segment, helping to address complex technical challenges and ensuring clear communication with executive-level stakeholders. Advocate for the innovative and effective application of our AI technologies across various sectors, positioning the company as a leader in the industry. Ensure your team remains accountable for technical progress and customer outcomes, coordinating specialist support and establishing clear ownership with delivery teams for implementation execution. You’ll thrive in this role if you: Bring 8+ years of experience in technical customer-facing roles, building and managing C-level technical and busines

As an Engineering Manager on Coder’s Core Workspaces team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction while growing the team and keeping execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. What you’ll do here Lead and grow a team within our Workspaces organization. Set technical direction across the agent harness, integrations, and workflows. Stay close to the code and contribute to architecture and implementation decisions. Evolve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve reliability, performance, and operability across agentic systems. Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs. What we’re looking for Experience managing and growing software engineering teams. Strong hands-on engineering experience with React and TypeScript . Experience with Go . Hands-on experience building systems around LLMs and agentic workflows. Experience with model APIs, tool calling, context management, or agent loops. Strong distributed systems knowledge. Working knowledge of AWS . Strong technical judgment and comfort working through ambiguity. A track record of helping engineers grow while maintaining a high execution bar. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP , agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute. Experience building abstractions across multiple model providers. Deep experience with AWS, Kube

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in foundation models and world models while remaining deeply engaged in the technical direction of the work. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead research in foundation models, world models, and multimodal learning, setting the technical direction for ambitious research programs grounded in observability and security Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

As Manager, Technical Program Management, you will lead the team responsible for coordinating prototype sensor and compute hardware programs and supporting their transition to high-volume serial manufacturing. You will partner with leaders across hardware, software, vehicle engineering, product, manufacturing, and finance to turn strategic priorities into executable plans. Your team will maintain schedules, define milestones, track resources and budgets, identify risks, and communicate progress to stakeholders. In this job, you will Partner with department leaders to translate company priorities and milestones into product roadmaps, program schedules, and defined deliverables. Oversee technical programs for high-volume serial manufacturing, including production readiness, capacity planning, ramp milestones, and the resolution of issues that affect output. Coordinate the transition from prototype builds to serial production with engineering, manufacturing, quality, supply chain, and contract manufacturing partners. Work with functional leaders and finance to plan and track headcount, budgets, and other program resources. Establish clear ownership, dependencies, and delivery expectations across participating teams. Define and maintain program management processes, operating rhythms, and decision forums. Identify risks early, make their impact visible, and coordinate mitigation plans with engineering and manufacturing teams. Prepare decision points for leadership meetings, including the information and recommendations needed to resolve blockers. Qualifications Bachelor’s or master’s degree in an engineering discipline, or equivalent practical experience. 12+ years of experience in engineering, technical program management, or management consulting. 5+ years of experience m