Engineering Team Lead Jobs

About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role: We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in Dublin. We use a hybrid work model of 3 days in the off

What is Box? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. Why Box needs you: The Box Extract team is a core part of Box’s AI strategy, focused on transforming unstructured enterprise content (PDFs, contracts, invoices, forms, and more) into structured, actionable data. You will lead a Wroclaw-based engineering team within the Box Extract organization. This team operates within the application layer , responsible for turning advanced AI capabilities (OCR and LLM-based Extract Agents) into a scalable, customer-facing product. Who you are: People-first engineering leader with 2+ years of engineering management experience and strong technical background You possess at least 5 years of professional software development experience building full-stack web applications, preferably with JavaScript/TypeScript and Java Solid

The IT SaaS Engineering Team plays a critical role in enabling MongoDB’s post-sales business processes, including Customer Success, Support, Renewals, Services, and account management workflows. By leveraging Salesforce and related business systems, the team ensures that post-sales teams have the tools, automation, security, and governance needed to effectively manage customer relationships, support customer outcomes, improve operational efficiency, and drive long-term customer growth. With deep expertise in Salesforce development, platform governance, automation, integrations, and system operations, the team continuously enhances the CRM platform to support evolving post-sales business needs. The team partners closely with stakeholders across Customer Success, Technical Services, Revenue Operations, Sales Operations, Billing, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Role Overview We are looking for a highly experienced Lead Salesforce Engineer to drive the architecture, design, and evolution of critical Salesforce and CRM solutions supporting MongoDB’s post-sales business processes. This role combines deep technical leadership, hands-on solution design, cross-functional stakeholder partnership, people management, and a modern engineering mindset that embraces AI-powered development responsibly to improve productivity, quality, and long-term platform health. The ideal candidate will have strong experience designing scalable Salesforce solutions for complex customer lifecycle processes, including customer success operations, support workflows, renewals, account management, customer health, and post-sales automation. What you’ll do Lead the architecture, design, and development of scalable Salesforce solutions supporting post-sales teams, including Customer Success, Support, Renewals, Services, and account managemen

Perplexity is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem . Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users. You will lead, grow, and support a team in solving many open problems in AI, including: Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; Designing optimal data representations and modes of interaction between agents and their environments; and much, much more. Responsibilities Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space. Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps. Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorou

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of Consumers, Merchants, and Dashers. Security is paramount to the success of our business, and DoorDash Security aspires to be one the world’s most admired security team. We are committed to building the world's most trusted on-demand, logistics engine for delivery! We're expanding our team of great minds to help us secure and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s multi-sided marketplace of Consumers, Merchants, and Dashers. About the Role Our Security Engineering team is looking for an Engineering Manager, Proactive Security to set and lead the technical direction for platform hardening at DoorDash, Wolt and Deliveroo globally. You will be a part of our inclusive, collaborative global team responsible for building “paved road” Platform Security controls to harden our compute and storage platforms and provide for a safe, secure and resilient delivery network. This is a US remote position reporting directly to the Director of our Security Engineering team. You’re excited about this opportunity because you will… Set and execute the technical vision for the Security Engineering Platform team, spanning AWS and GCP account/workload hardening, and vital tier-0 services (Access, Identity, Teleport, HashiCorp Vault, Tokenization and others). Influence and drive improvements to engineering standards, leverage advancements and LLMs to improve productivity and velocity. Own the hardening roadmap for tier-0 cloud infrastructure and access services, backed by rigorous, follow-the-sun on-call. Success is measured in eliminating classes of misconfiguration and exposure at the platform layer, not in shipping code for its own sake. Coach and mentor highly skilled tech leads and engineers as a "player-coach," leaning in at the lowest technical level on cloud hardening, identity, and secrets

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Our product teams work across research, engineering, product, data, and design to bring OpenAI’s technology to people and businesses around the world. Design plays a critical role in making powerful AI intuitive, useful, and trustworthy. We hold a high bar for quality and build experiences that earn users’ confidence, while moving quickly and learning from real-world feedback. We favor early validation and continuous refinement over waiting until every detail is perfect. About the Role We’re looking for a Product Design Leader to shape how startups, small businesses, and growing teams discover, adopt, and unlock lasting value from Codex and ChatGPT. You’ll lead design across the B2B growth journey, creating experiences that turn the potential of AI into meaningful, everyday impact for this user base. This role is a mix of team leadership and hands-on design execution. You’ll lead and develop a small team of designers, contribute directly to high-impact projects, and help set the standard for impactful, simple, user-centric experiences. You balance exceptional craft with momentum, creating a culture where the team launches, learns, and improves quickly. You already use tools such as Codex to extend what you can build. As a leader, you help designers strengthen their judgment, confidence, and influence through clear and actionable feedback. You’re also a highly effective cross-functional partner who brings people together, navigates ambiguity, and builds alignment through clear communication and collaborative problem-solving. Codex is on an extraordinary trajectory, and this role offers a rare opportunity to work across both sides of the product: the consumer experiences through which people first discover and adopt our technology, and the business experiences that help teams use it together. You’ll bring a high bar for craft, strong product judgment, and comfor

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Our product teams work across research, engineering, product, data, and design to bring OpenAI’s technology to people and businesses around the world. Design plays a critical role in making powerful AI intuitive, useful, and trustworthy. We hold a high bar for quality and build experiences that earn users’ confidence, while moving quickly and learning from real-world feedback. We favor early validation and continuous refinement over waiting until every detail is perfect. About the Role We’re looking for a Product Design Leader to shape how startups, small businesses, and growing teams discover, adopt, and unlock lasting value from Codex and ChatGPT. You’ll lead design across the B2B growth journey, creating experiences that turn the potential of AI into meaningful, everyday impact for this user base. This role is a mix of team leadership and hands-on design execution. You’ll lead and develop a small team of designers, contribute directly to high-impact projects, and help set the standard for impactful, simple, user-centric experiences. You balance exceptional craft with momentum, creating a culture where the team launches, learns, and improves quickly. You already use tools such as Codex to extend what you can build. As a leader, you help designers strengthen their judgment, confidence, and influence through clear and actionable feedback. You’re also a highly effective cross-functional partner who brings people together, navigates ambiguity, and builds alignment through clear communication and collaborative problem-solving. Codex is on an extraordinary trajectory, and this role offers a rare opportunity to work across both sides of the product: the consumer experiences through which people first discover and adopt our technology, and the business experiences that help teams use it together. You’ll bring a high bar for craft, strong product judgment, and comfor

About the Team The People Technology team builds and operates the systems that support how OpenAI hires, develops, and supports its people. The team brings together People Systems and People Innovation Labs, a product engineering group focused on rethinking how we find and retain exceptional talent and help employees do their best work. People Systems owns the company’s core people-technology ecosystem, including platforms such as Workday and Ashby. People Innovation Labs builds new employee and People Team experiences on top of that foundation, including OpenHouse, our internal employee hub, and AI-powered products and automations. Together, we are working toward a model in which our enterprise systems provide reliable data, controls, and core business logic, while employees and managers can complete more of their work through simple, integrated, and AI-native experiences. About the Role We are looking for a People Systems Lead to manage the People Systems team and shape how our core systems evolve. You will be responsible for the reliability and effectiveness of our current environment while helping us move beyond the constraints of traditional enterprise software. This includes stabilizing and improving platforms such as Workday and Ashby, designing the integrations that connect them to the broader technology ecosystem, and partnering with People Innovation Labs to surface workflows through OpenHouse, Slack, and AI-powered experiences. This role requires someone who is comfortable moving between strategy, technical design, and team leadership. You should understand People systems deeply, be able to work through integration and architecture decisions with engineers, and translate complex organizational needs into scalable solutions. You will also manage vendor relationships, develop the People Systems team, and drive alignment across People, Engineering, Finance, Security, Legal, and other partners. This role could be a fit for someone who has grown up in People S

The Team + The Role The Pendo for Agents team builds Pendo's AI and agent product area, a large greenfield surface where much of the architecture is being defined as the team builds. This team operates at the center of a fast-moving product space where engineering decisions shape both the customer experience and the technical foundation for future scale. As Senior Manager, Engineering, you will own technical direction for Pendo for Agents end to end and be fully accountable for delivery, engineering quality, and the talent pipeline. You will partner closely with Product, Design, Staff and Principal engineers, and adjacent Engineering leaders to make high-quality architecture decisions, guide execution, and grow a team that can move quickly without over-building. This role is based in our New York City office. What this looks like day-to-day Team leadership: Lead, coach, and manage a team of approximately four engineers today, with the role growing into ownership of two teams as the product area scales. You will support onboarding, professional development, and the growth of strong individual contributors and emerging technical leaders. Architecture ownership: Own the technical direction for the Pendo for Agents architecture end to end. You will partner with Staff and Principal engineers on build-versus-buy decisions, including when to use existing frameworks and when to build in-house. Delivery execution: Guide prioritization, planning, and execution across the team while maintaining a healthy delivery cadence. You will own delivery commitments across sprint and quarterly planning cycles and hold the team accountable to outcomes. Cross-functional partnership: Partner with Product and Design to deliver high-quality features using Agile development practices. You will align on scope, sequencing, and risk while surfacing engineering constraints early and maintaining trust under pressure. Player-coach technical leadership: Stay hands-on in architecture and technical pro

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About the role AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations — the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix. We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed. You'll partner closely with product, design, and engineering leaders to decide where ML belongs in our products, what kind of ML actually fits the problem, and how we translate that work into experiences millions of developers rely on every day. In this role you will Set technical direction across the team's full ML surface area — from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems — and make sharp calls about which approach fits each problem Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems Define

Here’s a summary of the role: Lead a strong engineering team, deliver software that matters, and help people do the best work of their careers. This is a hands-on team management role for someone who enjoys combining people leadership, technical fluency, and modern AI-enabled ways of working to build reliable products at scale. You’ll lead engineers building secure, scalable microservices and APIs using TypeScript and AWS. You’ll partner closely with Product, Security, DevOps, and peer engineering leaders to deliver roadmap outcomes, improve team effectiveness, and create an environment where engineers can grow, own their work, and build high-quality systems with confidence. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Lead, coach, and support a team of engineers, creating clarity around priorities, ownership, expectations, and growth goals. Partner with Product, Security, DevOps, and peer engineering leaders to plan and deliver roadmap commitments while balancing quality, pace, and sustainability. Create a healthy delivery environment by improving team processes, removing blockers, supporting planning and estimation, and reinforcing strong engineering practices. Maintain enough technical depth to guide design discussions, challenge risks, review trade-offs, and support the team in building secure and maintainable systems. Use AI tools and encourage responsible AI-assisted ways of working that improve productivity while protecting privacy, security, quality, and good judgment. Support hiring, feedback, performance conversations, and career development so the team continues to grow in capability and confidence. These are the essentials you’ll need to get an interview: 8 or more years of software engineering experience, including experience leading projects and supporting or managing engineers in an agile product environment. Experience managing teams that build cloud-native microservices in AWS. Strong people leadership skills, with

About the Team Merchants Financial's mission is to serve the financial needs of the active merchants on DoorDash. Our goal is that Merchants view DoorDash as their preferred financial partner to achieve their financial goals such as faster cash flow, more capital for store expansion and/or upgrade, and new customer acquisition. About the Role DoorDash is looking for an Engineering Manager to lead the Merchant Financials engineering team. This team is responsible for the building of Mx financial products (such as loan/capital, instant pay) used by millions of merchants on DoorDash platform. As an Engineering Manager, you will partner closely with product, design, and operations partners to define the roadmap to grow our sweet of financial products, including the launch of a brand new banking app. You will manage a team of talented backend, web, and mobile engineers to build groundbreaking financial solutions and solve challenging technical problems. You're excited about this opportunity because you will… Lead and grow a team of exceptional backend and client-side engineers delivering end-to-end engineering solutions Collaborate with Product Managers, Business leaders, and key stakeholders to determine the team's roadmap and vision, and manage execution against that roadmap Provide architectural guidance and professional development for a team of 8+ Encourage innovation, teamwork, implementation of cutting-edge technologies, and outside-of-the-box thinking Oversee the hiring process for your team, in partnership with recruiting, to grow a diverse and inclusive team We're excited about you because you have… BS, M.S., or PhD. in Computer Science or related field 2+ years of experience in people management leading full-stack teams (backend, web, & mobile) of 8+ engineers 8+ years of industry experience Extensive experience as an engineer in a fast-paced, product-focused development environment Experience with distributed system design, system

About the Team DoorDash is seeking an exceptional Engineering Manager to spearhead a dynamic team with two key focus areas: leveraging merchandising platform to simplify consumer discovery for new use cases, and create more variety of customer experience to attract engagement. This team operates at the intersection of product platform and product experience, driving innovation to solve some of the company’s top priorities. About the Role As the Engineering Manager, you will assume leadership of a versatile full-stack engineering team spanning mobile, web, and backend. Your responsibility extends beyond technical prowess as you will engage in close collaboration with key stakeholders in product development, strategy, operations, design, user research, and analytics. Your leadership will steer a dynamic, data-centric team, swiftly crafting an end-to-end Occasions user experience. This team will serve as the builder of customizable, personalized, and reusable user experiences on mobile and web apps. You’re excited about this opportunity because you will… You will manage a full-stack team with iOS, Android, web, and backend engineers You will directly work with partners in product, strategy & operations, design, user research, and analytics across DoorDash to define the roadmap and vision for the team and deliver immense impact Build an outstanding team by coaching engineers, empowering engineers through delegation, and applying your technical expertise to hold your team to the highest engineering standards Scale the team by developing internal talents and attracting top talents We’re excited about you because… You have a B.S., M.S., or Ph.D. in Computer Science or equivalent You have 7+ years of industry experience, including minimum of 2 years of management experience You have experience managing engineering disciplines across BE + Android + iOS + Web You bring a strong product sense and can be a thought partner with cross-functional peers You have hands-on experi

About the Team Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect model weights, customer data, and critical systems across multiple cloud environments. The team partners across OpenAI, including Applied Engineering, Research, IT, Security, Infrastructure, and Engineering, to provide secure and scalable platforms for identity, access management, permissioning, orchestration, and safe AI research. About the Role We’re looking for an engineering leader to lead Identity Infrastructure Engineering, the team building the systems that govern and scale access across OpenAI’s research, engineering, and internal platforms. This role sits at the center of cloud infrastructure, identity, software engineering, and security-critical operations. You’ll lead engineers building control planes, policy systems, workload and agent authorization patterns, infrastructure-as-code, and operational foundations that help OpenAI move quickly while keeping access reliable, auditable, least-privileged, and safe under failure. The ideal candidate has led teams responsible for large-scale, mission-critical infrastructure. They can go deep into code and architecture when needed, while giving engineers and technical leads the clarity and ownership to do their best work. They set technical direction, grow strong teams, make durable architecture decisions, and turn ambiguous 0-to-1 problems into platforms OpenAI can trust and build on for years. In this role, you will: Build and lead a high-performing Identity Infrastructure team, going deep enough technically to set direction while empowering the team to own delivery. Define the strategy for identity platform as the policy plane for access across people, agents, workloads, services, clouds, and internal systems. Scale Acc

About the Team The Premium team owns some of the highest-leverage customer-facing levers in ChatGPT’s consumer revenue business, spanning the paid customer journey: helping users understand the value of paid plans, convert with confidence, and continue finding lasting value in their subscription. Our work is highly cross-functional, partnering with Product, Data Science, Design, FinEng, Finance, Legal, Support, and Marketing to improve free-to-paid conversion, renewal, customer lifetime value, and revenue while keeping the experience trustworthy, scalable, and low-friction. In This Role, You Will: Lead and scale an engineering team responsible for some of ChatGPT’s most important subscription and monetization experiences. Own the technical execution for Premium customer experiences across plan merchandising, paywalls, upgrade flows, checkout UX, plan management, renewals, downgrades, and cancellation. Partner with Product and Data Science to run high-quality experiments across upgrade, trial, renewal, downgrade, and cancellation flows. Improve key subscription metrics including conversion, renewal, churn, ARPU, and lifetime value. Build reliable customer-facing Premium experiences for purchase, plan management, renewal, downgrade, cancellation, and access-related states at scale. Partner closely with FinEng and other platform teams to evolve the billing, payments, and entitlement capabilities that power Premium experiences. Collaborate closely with Product, Design, Data Science, Finance, Legal, Support, and Marketing on monetization strategy and execution. You Might Thrive in This Role If You: Have 5+ years of engineering management experience, Have strong technical expertise in backend, frontend, or full-stack development, with experience building growth-oriented features. Have a track record of improving conversion, retention, or monetization through experimentation and data-driven product engineering. Are experienced with subscription products, plan merchandising