Engineering Team Lead Jobs

About the Team OpenAI’s Client Platform Engineering (CPE) team delivers trusted devices at scale: secure by default, reliable by design, and effortless to use. We own platform capabilities across macOS, Windows, iOS, Android, and Linux, spanning endpoint posture and device trust, application delivery, onboarding, updates, telemetry, workflow orchestration, and employee-facing remediation. The team partners deeply with Security, Research, Applied, and specialized engineering groups to enable and protect OpenAI while reducing friction for the people advancing our mission. About the Role As an Engineering Manager for CPE, you will lead a team of engineers responsible for the strategy, delivery, and operation of OpenAI’s cross-platform client foundation. You will combine people leadership with strong technical judgment: setting direction, developing engineers, reviewing architecture and tradeoffs, and creating the operating mechanisms that turn ambiguous needs into durable platform outcomes. This is a high-leverage role at the intersection of security, reliability, developer velocity, and employee experience. CPE is a highly technical platform engineering organization delivering first-party services, automation, observability, and safe fleet operations. We’re looking for a leader who can guide its next chapter, scaling the team and its systems, partnering across the company, and raising the bar for secure, reliable, low-friction experiences across every supported platform. In this role, you will: Lead and develop a high-performing engineering team; hire thoughtfully, coach engineers, create clarity, and foster an inclusive, high-accountability culture that pushes perceived limits. Define and execute a multi-year client-platform strategy and roadmap across macOS, Windows, iOS, Android, and Linux, including how Codex and agents can reshape employee computing. Provide technical direction for endpoint posture, device trust, application delivery, device onboarding, updates,

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role Block’s Business Platform Engineering organization powers the foundational systems that support financial operations across Square, Cash App, TIDAL, and Proto. We are building the next generation of financial and supply chain infrastructure that enables accurate reporting, operational efficiency, regulatory compliance, and strategic decision-making across Block. As an Engineering Manager in Finance & Supply Chain Engineering, you will lead a team of engineers building mission-critical systems across areas such as Record-to-Report automation, financial planning and forecasting, tax and regulatory reporting, and supply chain planning and execution. This is a unique opportunity to help shape a mostly greenfield team and platform from the ground up. You will help build agentic systems that run the business — systems that automate workflows, reason across financial and operational data, assist decision-making, and make critical business processes more efficient, reliable, and scalable. You will have influence across the full spectrum: team culture, engineering practices, technical strategy, product direction, architecture, and implementation. You will be responsible for building and supporting a high-performing engineering team, shaping technical strategy, partnering closely with Finance, Accounting, Tax, Compliance, Product, and

About the Team Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organizational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams. About the Role As an Engineering Manager, Identity Platform you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products. In this role, you will: Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth. Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems. Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance. Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards. Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals. Establish processes and a culture that enable fast learning, high trust, and responsible innovation. Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong sec

About the team Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life sciences model capabilities and building products to help scientists accelerate their research and leverage the full potential of AI for scientific work. Rosalind Workbench brings together the scientific tools, data sources, interactive biology file viewers and core life sciences workflows into a central environment to help scientists investigate questions, design experiments, analyze results, and advance discovery. Rosalind Workbench can be used with any OpenAI models including GPT-Rosalind, our dedicated life sciences model, which combines frontier reasoning with specialized tool orchestration across medicinal chemistry, genomics, wet-lab assistance, and other scientific applications. Our long term vision is for teams of agents to work together across these domains, giving researchers access to broader expertise and the ability to pursue more ambitious scientific questions. About the role We’re looking for an Engineering Manager to lead the team building Rosalind Workbench and its supporting infrastructure. You’ll hire and develop engineers, set technical direction, and turn an ambitious product roadmap into focused, reliable releases. This is a hands-on leadership role. You should be comfortable reviewing architecture and code, investigating difficult failures, and helping engineers make consequential technical decisions. You’ll work closely with product, design, research, Codex engineering, and customer-facing teams to bring new scientific capabilities into everyday use. In this role, you will Build and lead the engineering team. Hire strong engineers, coach technical leaders, provide clear feedback, and establish ownership and accountability across product and infrastructure work. Drive technical planning and delivery. Translate scientific and cust

The Engineering Manager, Memberships leads the team responsible for building and operating Topgolf’s Memberships systems, from guest-facing membership experiences through the backend services that power them. This role owns the people, process, and delivery of the Memberships engineering team, while staying technically credible across a full stack built on Go, Vue.js, and PostgreSQL. Requirements Lead, grow, and manage a team of full-stack engineers building Memberships systems, including hiring, performance management, career development, and mentorship Set clear goals and expectations for the team, run effective 1:1s, and build a culture of ownership, accountability, and continuous improvement Balance workload and staffing across Memberships initiatives, escalating resourcing gaps and continuity risks early Guide architecture and design decisions across Memberships systems, drawing on full-stack experience spanning Go, Vue.js, PostgreSQL, and API design Set engineering standards and best practices for code quality, testing, and release processes, and stay close to the codebase through code reviews and hands-on problem solving on critical issues Own delivery of the Memberships roadmap end to end, from technical planning through implementation, QA, release, and post-launch monitoring, ensuring systems are observable, testable, secure, and built to scale with guest demand Partner with product, design, QA, and platform engineering to translate guest needs and business priorities into a clear, prioritized Memberships roadmap Represent the Memberships team in cross-functional planning and architecture discussions, communicating progress, risks, and tradeoffs to engineering leadership and business stakeholders Critical Skills Strong architectural judgment and the ability to balance technical debt, delivery speed, and long-term maintainability <

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 We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Customer Experience Engineering team at Robinhood sits at the intersection of cutting-edge AI and real human impact. We build the systems that power how millions of customers get support — from intelligent chatbot deflection and ticketing tools to a first-of-its-kind private wealth product called Concierge, designed for high-net-worth customers. Our team of engineers spans iOS, Android, web, backend, and LLM/AI specializations, working closely with dedicated product managers and data scientists to ship products that set a new bar in the fintech space. We move fast, we iterate, and we take quality seriously. As the Senior Engineering Manager for Agent Experience, you'll own the engineering execution of one of Robinhood's most ambitious and high-visibility zero-to-one products. You'll lead a team of engineers building premium, AI-powered features — natively within the Robinhood app for our highest-value customers. This role requires a leader who is comfortable navigating ambiguity, aligning closely with product leadership, and delivering reliably in a fast-moving environment with executive visibility. You'll be a key voice in shaping both the technical direction and the cu

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The Role: We’re looking for an Engineering Manager to lead a team in our Issuing organization. The Issuing organization enables businesses to monetize spend by providing fast, secure, and efficient payment solutions through digital and physical card issuance. This is a complex and rapidly evolving offering, giving you the opportunity to influence the vision and strategy, and own the roadmap from the ground up seeing it through from early build to scaled adoption. As an engineering leader, you’ll work closely with partners across engineering, product, commercial, and operations to deliver a best-in-class issuing product that serves both enterprise clients and embedded finance partners. This Chicago-based role is part of the broader Financial Services product organization, which owns the full suite of financial products we offer to our customers. What you'll do: Drive the Roadmap: Develop and execute the technical roadmap for establishing an issuing program construct, able to support the continued expansion of Adyen’s issued card product suite, and translating ambitious business goals into world-class technical reality. Build a team: Establish a new engineering team from the ground up, hiring and shaping the team as required to build a best-in-class engineering culture Technical Authority and Excellence: Act

This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications. Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements. Measure, report, and maintain/improve operational effectiveness. Train and coach team members on new technologies, procedures, and guidelines/best practices. Technical Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components. Contribute to key development, testing, deploym

This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications. Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements. Measure, report, and maintain/improve operational effectiveness. Train and coach team members on new technologies, procedures, and guidelines/best practices. Technical Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components. Contribute to key development, testing, deploym

The Team + The Role Pendo’s Customer Engineering team is the technical backbone of our pre- and post-sales motion. The team brings together responsibilities previously split across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical ownership model. Customer Engineering is a growth function focused on customer health, retention, expansion, and technical partnership. As Manager, Customer Engineering, you will lead a team of Customer Engineers and be accountable for their aggregate output while staying close to the work. You will translate team goals into individual assignments, coach direct reports on technical and commercial skills, and run the day-to-day operating rhythm for your pod. This is a people leadership role where your team’s output is your output. This is a role based in-office in Sydney or Remote in Melbourne. What this looks like day-to-day Team output and account health: Own the aggregate health, retention, and expansion outcomes for the accounts your team manages. Ensure Customer Engineering coverage is adequate, account risks are surfaced early, and no account falls through the cracks. People development: Coach and develop P2 through P4 Customer Engineers through regular 1:1s, actionable feedback, performance management, and individual development plans. Identify skill gaps and partner with enablement to address them. Operational rhythm: Run the team’s operating cadence, including weekly account reviews, pipeline syncs with Account Directors, escalation triage, and capacity planning. Maintain documentation standards and Salesforce hygiene across the team. Hiring and onboarding: Partner with recruiting to hire strong Customer Engineers and own the onboarding experience for new team members. Ensure new hires become productive within expected ramp timelines. Account Director partnership: Serve as the management counterpart to Account Director leadership for your pod. Resolve cross-functional fricti

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’s Observability engineering team builds and operates the systems that give us deep visibility into the health, performance, and efficiency of our platform. From metrics, logs, and traces to cost attribution and budgeting, this team ensures that engineers across Figma can detect issues quickly, understand system behavior at scale, and make informed decisions about reliability and spend. The team owns and evolves our core observability stack—including platforms like Datadog, shared instrumentation libraries, and the agents and operators that power telemetry collection—while continuously raising the bar on signal quality and operational clarity. This team ensures that engineers across Figma can detect issues quickly, understand system behavior at scale, and make informed decisions about reliability. The team owns and evolves our core observability stack—including platforms like Datadog, shared instrumentation libraries, the agents and operators that power telemetry collection, and a host of internally developed components to power AI Trace Observability —while continuously raising the bar on signal quality and operational clarity. As the Engineering Manager for Observability, you will lead a team of five engineers responsible for shaping the future of visibility and efficiency at Figma. You’ll define the strategy for instrumentation standards and cost transparency, drive initiatives to optimize observability footprint and spend, and explore innovative AI-driven approaches to anomaly detection

MongoDB is seeking an Engineering Manager to join the Atlas Organization. The organization is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Data Federation & Archiving team is an engineering team responsible for the Atlas capabilities that allow customers to move data from hot to cold storage and run federated queries over that data. The team builds Atlas Data Federation, a distributed query engine that lets users query data across Atlas Clusters and cloud object storage through a unified service. The team also builds Atlas Online Archive which allows customers to move data from Atlas Clusters into fully managed cloud object storage while preserving a seamless query experience across hot and cold datasets. We are forming a new Atlas Data Federation & Archiving team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Cork and would like a hybrid or in-office working model. What you’ll do Lead a team of motivated individual contributors who are eager to learn and grow Contribute to the code, design, and architecture of the systems your team develops Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of professi

MongoDB is seeking an Engineering Manager to join the Atlas Organization. The organization is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. The Atlas Data Federation & Archiving team is an engineering team responsible for the Atlas capabilities that allow customers to move data from hot to cold storage and run federated queries over that data. The team builds Atlas Data Federation, a distributed query engine that lets users query data across Atlas Clusters and cloud object storage through a unified service. The team also builds Atlas Online Archive which allows customers to move data from Atlas Clusters into fully managed cloud object storage while preserving a seamless query experience across hot and cold datasets. We are forming a new Atlas Data Federation & Archiving team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. We are looking to speak to candidates who are based in Dublin and would like a hybrid or in-office working model. What you’ll do Lead a team of motivated individual contributors who are eager to learn and grow Contribute to the code, design, and architecture of the systems your team develops Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 6 years of profes

About the Team The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate. About the Role We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex) , leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights. Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeat

About the Team The Senior Support Engineering team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the Role We’re looking for a Support Engineering Manager to build and guide a high-performing team of experienced Senior Support Engineers with backgrounds in software engineering, site reliability engineering, and systems architecture. These engineers are trusted to operate with autonomy, tackle deeply technical challenges, and serve as the final escalation point before Engineering. In this role, you'll lead a team focused on deep problem-solving, proactive reliability work, and customer-specific troubleshooting. You’ll drive the design and operations of OpenAI’s incident management processes, including tooling, automations, and training, and ensure they are scalable and resilient. You’ll also oversee strategic customer workload monitoring, alerting, and a 24x7 rotation to ensure high-priority issues are caught early and handled with urgency. You’ll collaborate closely with Product, Engineering, Technical Success, and field teams to improve the supportability of our products, reduce operational burden, and shape the future of AI-driven technical support. Your team will own incident response playbooks, build internal automations, and serve as technical stewards for our most strategic accounts. This is an opportunity to define what world-class technical support looks like in the