Group Tech Lead Jobs

As the Head of Engineering Operations, you will be a key leadership partner to the CTO and the engineering leadership team, owning the operational backbone of our global R&D organization. In this role, you will serve as a critical bridge to other cross-functional groups, driving operational excellence, organizational effectiveness, and strategic initiatives. We are looking for a strategic leader who can translate company strategy into actionable engineering plans while building lightweight operating models that accelerate velocity and maintain high quality. You will empower our engineering organization to thrive and deliver exceptional impact at scale. This role is based in our San Francisco or Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Translate overarching company strategy into actionable engineering and operating plans in close collaboration with cross-functional partners. Design and build lightweight operating models, frameworks, and processes to optimize engineering execution and delivery, integrating evolving AI agentic engineering workflows. Hire, mentor, and lead a high-performing, global team of engineering operations professionals and Technical Program Managers to steer complex horizontal programs. Oversee financial and resource governance, including budget management, program spend, headcount strategy, and vendor/tooling allocations across public cloud and LLMs. Define and own the engineering metrics program (KPIs covering delivery, quality, reliability, efficiency, and capacity) to deliver data-driven insights to leadership. Serve as a trusted proxy and connective tissue for the CTO and R&D

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Technical Program Management Team The Engineering Technical Program Management Team’s mission is to enable Okta to deliver on key strategic goals by bringing groups together across Engineering, Security, Legal, Compliance, Product Management, and Customer Support. Engineering TPMs drive prioritization, planning, execution, and ensure transparency while managing success criteria. The Principal Technical Program Manager, Engineering Opportunity As a Principal Technical Program Manager in the Engineering TPM Team, you will partner with various groups across Okta to build and deliver key Engineering initiatives. You will be the point person for clarifying strategic level goals and outlining the execution plans to achieve them. You will work within and across teams to prioritize and execute on key objectives. Employing both a strategic and tactical approach is a requirement in this role. You will not only have strong TPM experience, but also experience implementing complex efforts within Engineering or Infrastructure in a SaaS and agile environment. *This position requires the ability to access Impact Level 4 & 5 (IL4 and IL5) data, as defined by the Department of Defense (DoD) Cloud Computing Security Requirements Guide. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permane

Who we are 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 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. About the team The Marketing Operations team drives excellence across the shared infrastructure that the marketing and sales development teams depend on: lead routing and lead management, prospect data, campaign production, marketing systems, and sales development systems. The infrastructure covers three vertical channel groups: inbound and outbound sales, digital marketing, and in-person events. We ensure that the underlying operations and systems are reliable, scalable, and well-maintained. In close partnership with Demand Generation Systems, Marketing Operations enables global and region marketers and Sales Development Representatives to focus on driving revenue rather than wrestling with operations and systems. What you’ll do We are looking for a Head of Marketing Operations to lead a critical team to help power Stripe's growth. You will set the direction of marketing operations, solve time-sensitive and complex operational and systems challenges, and develop managers and individual contributors. You will be an indispensable partner to peers in Marketing, Sales Development, Product Management, Engineering, Analytics, and Data Science. You will be directly responsible for a global marketing operations team of 15-20, in addition to 25-30 production specialists with a dotted-line reporting relationship. Responsibilities Drive excellence in the operations and systems that support inbound and outbound sales, digital marketing channels, and in-person eve

Who we are 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 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. About the team The Product Design team is made up of several groups that define, create, and deliver all user-facing aspects of the Stripe brand and product. Product Designers are strategic partners to Engineering and Product Management within their product area. In close collaboration with product teams, they shape user experiences, then translate them into high-quality designs that can be tested, shipped, and refined. Designers are responsible for building elegant, functional products that users love—and want to tell others about. The Dashboard team ensures Stripe works seamlessly for every merchant—regardless of how their business is structured or which products they use. Our goal is to make Stripe feel like it was built just for them. What you'll do In this role, you will help build and enhance the Stripe Dashboard by designing, concepting, and prototyping high-quality core dashboard and product experiences. Responsibilities Develop a deep understanding of the Stripe ecosystem, users, and UI to inform product direction Deliver high-quality, user-centered designs that evolve core surfaces and elevate the overall user experience Collaborate with designers, product managers, engineers, user researchers, and content designers to shape strategy and execution Share work regularly in design reviews and actively contribute to a strong culture of feedback and iteration Who you are We're looking for someone who meets the minimum requirements to be considered for

Who we are 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 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. About the team The Product Design team is made up of several groups that define, create, and deliver all user-facing aspects of Stripe's products. Product Designers work directly with Engineers, Product Managers, Data Scientists, and Marketers, as strategic partners, in each product area. In close collaboration with product teams, they shape user experiences, then translate them into high-quality designs that can be tested, shipped, and refined. Designers are responsible for building elegant, functional products that users love—and want to tell others about. The Global design team crafts product experiences that make cross-border selling as simple, performant, and scalable as domestic sales. Experiences empower businesses to easily expand into new markets worldwide without the friction of complex global operations, ranging from localized checkout experiences and comprehensive payment method coverage to handling global tax compliance and cross-border money management. Because of its global reach, this team's efforts drive significant impact for our users and business and navigate the unique challenges of designing for regions with dozens of currencies, languages, and regulatory frameworks. What you'll do As a product designer, you'll work closely with product managers and engineering teams to envision features in the Stripe Dashboard and checkout surfaces and partner with go-to-market teams to bring them to users. That includes new feature development, loca

Who we are 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 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. About the team The Product Design team is made up of several groups that define, create, and deliver all user-facing aspects of Stripe’s brand and product. Product Designers are strategic partners to Engineering and Product Management within their product area. In close collaboration with product teams, they shape user experiences, then translate them into high-quality designs that can be tested, shipped, and refined. Designers are responsible for building elegant, functional products that users love—and want to tell others about. The Terminal design team crafts product experiences that empower users to configure and manage in person payments. This team transforms the intricate world of payments into intuitive solutions, letting users focus on growing their businesses. The team spans hardware and software, focusing on many types of users: end users who pay at the point of sale, cashiers and operations managers who set up and run the devices, and merchants who manage a fleet of devices and need to monitor performance. What you’ll do As a product designer, you’ll work closely with the product manager and engineering team to envision payments features in the Stripe Dashboard and our end-user-facing surfaces and partner with go-to-market teams to bring them to users. That includes new feature development, product quality improvements to our most frequently used workflows, and setting vision for our products to meet new user expectations in an increasingly data

Who we are 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 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. About the team Stripe's Corporate Development M&A Integration team manages the lifecycle of acquisitions from close through steady state. We are a small but mighty team that operates as the hub connecting Stripe's functional groups (People, Finance, Legal, CorpTech, Sales, Marketing, GTM ops, and Product) with each acquired company. Our work is directly tied to some of Stripe's most strategically important bets, and we're actively managing a portfolio of acquisitions at different stages and integration models. What you’ll do We're hiring an Integration team member to own program management of a major integration track (either an end-to-end integration, the core operational workstream, or the GTM workstream) depending on portfolio shape and deal stage. You'll be coached by the team lead, but the expectation is that you will take direction once, ramp fast and effectively collaborate across our dynamic cross-functional teams. Responsibilities Own program management of a major integration workstream end-to-end. Build the plan, sequence dependencies, track functional commitments, surface risks early, and drive decisions to closure. Develop the strategic judgment to articulate why a workstream should be integrated and why now, including how to pace and sequence integration planning across the deal's lifecycle. Manage peer-level relationships with functional DRIs across People, Finance, Legal, CorpTech, GTM, and Product independently. You are Stripe's poi

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineeriIng teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteri

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. Work hands-on in code to build pr

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role can be based in Delhi, Mumbai or Bangalore. 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.

About the Team The Workload team is responsible for designing and running OpenAI’s LLM training and inference infrastructure that powers frontier models at massive scale. Our systems unify how researchers train and serve models, abstracting away the complexity of performance, parallelism, and execution across vast GPU/accelerator fleets. By providing this foundation, the Workload team ensures that researchers can focus on advancing model capabilities while we handle the scale, efficiency, and reliability required to bring those models to life. About the Role We are looking for an engineer to design and implement the dataset infrastructure that powers OpenAI’s next-generation training stack. You will be responsible for building standardized dataset interfaces, scaling pipelines across thousands of GPUs, and proactively testing performance bottlenecks. In this role, you will collaborate closely with the multimodal researchers, and other infra groups to ensure datasets are unified, efficient, and easy to consume. In this role, you will: Design and maintain standardized dataset APIs, including for multimodal (MM) data that cannot fit in memory. Build proactive testing and scale validation pipelines for dataset loading at GPU scale. Collaborate with teammates to integrate datasets seamlessly into training and inference pipelines, ensuring smooth adoption and a great user experience. Document and maintain dataset interfaces so they are discoverable, consistent, and easy for other teams to adopt. Establish safeguards and validation systems to ensure datasets remain reproducible and unchanged once standardized. Debug and resolve performance bottlenecks in distributed dataset loading (e.g., straggler systems slowing global training). Provide visualization and inspection tools to surface errors, bugs, or bottlenecks in datasets. You might thrive in this role if you: Have strong engineering fundamentals with experience in distributed systems, data pipelines, or infrastructure.

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Sydney, Australia. 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build

Location: San Francisco, CA (Hybrid: 4 days onsite/week). Relocation assistance available. About the Team: We build foundational platform software that enables reliable, secure, and performant products. The team works across system layers and partners closely with adjacent engineering groups to deliver robust capabilities from concept through launch. About the Role: We’re seeking a System Software Engineer to design, implement, and debug core platform components and the pipelines that build and update system images. You’ll work across operating system layers, focusing on performance, security, and deep system debugging to ship production‑grade systems. In this role, you will: Design, implement, and debug system‑level components and services across kernel and user space. Configure and maintain OS platform services (init, services, networking, security policies) and related tooling. Build and operate image and update pipelines, ensuring reliability, reproducibility, and rollback safety. Instrument and analyze performance using profiling and tracing; optimize CPU, memory, I/O, and power usage. Own platform observability and reliability: logging, crash capture, watchdogs, and diagnostics. Collaborate with cross‑functional teams to define interfaces and deliver end‑to‑end features. Establish strong engineering practices: code review, CI, reproducible builds, and release management. Partner with external suppliers to support builds and deployments. You might thrive in this role if you: Have shipped production systems software on modern operating systems. Are proficient in C/C++ and a scripting language, and comfortable with OS internals (concurrency, memory management, filesystems, networking, power management). Bring strong systems debugging skills using debuggers, tracers, profilers, and logs across kernel/user‑space boundaries. Understand configuration of platform services and interfaces, and can translate requirements into stable, well‑documented APIs. Are fluent in u

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in Seoul, South Korea. 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, buil

Title: AM/DM - VOC Research About Us: Paytm is India's leading digital payments and financial services company. Our platform offers a wide range of payment solutions to consumers and merchants, including utility payments, money transfers, and Paytm Payment Instruments (PPI) such as Paytm Wallet, Paytm UPI, and Paytm Payments Bank Net-Banking. We also provide merchant services, advertising, and a Mini app store. With a focus on growth and engagement, we leverage data science to drive sustainable success. We offer credit services sourced from financial partners to further support merchants. About the Role: We are looking for a customer-centric and execution-oriented VOC Research Executive to support user research and voice-of-customer initiatives for Paytm Money. The role involves conducting qualitative and quantitative research, managing research operations, and generating actionable insights to improve user experience and business outcomes. Responsibilities: Manage and maintain focus groups across different investor and trader cohorts for qualitative and quantitative research initiatives. Conduct research with internal and external users to derive actionable insights for business and product teams. Coordinate research operations including vendor payments, user incentive distribution, and participant management. Build detailed user personas across various cohorts such as scalpers, swing traders, and long-term investors. Develop and maintain a knowledge base capturing investor and trader behavior patterns on the platform. Support business and product teams with insights across acquisition, activation, retention, and reactivation journeys. Prepare research summaries, reports, and presentations with clear recommendations. Work closely with cross-functional stakeholders to ensure smooth execution of VOC initiatives. Expectations/ Requirements: Minimum 4 years of Research and Analytics, with Stock Broking Industry experience. Strong communication and stakeholder m