Ai Engineering Director in United States

Coordination Systems provides foundational distributed systems building blocks for internal Datadog platforms. Our services cover sharding, consensus, resource protection, configuration distribution, and much more. We are looking for a manager to lead the Coordination Systems - Storage team. This team provides essential configuration storage and distribution systems that are depended upon by almost every service and pod at Datadog. We power critical runtime configuration (e.g. feature flags), complex control planes (e.g. dynamic sharding configuration), and much more. Storage is one of four subteams within Coordination Systems. If successful, the candidate will have opportunities to lead other growing and impactful areas such as Resource Protection. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: (Describe role responsibilities here/max 6 bullets) Lead a core team of 5 engineers (distributed, with majority in NYC) Lead ceremonies, prioritize and delegate project Stay hands-on with the code, e.g. isolated features, small remediations, investigation follow ups Stay actively involved in operations, incidents, root cause analysis, etc. Constantly promote a culture of operational excellence, organizing gamedays, conducting operational reviews, staying proactive with reliability Who You Are: (Describe role qualifications here/max 6 bullets) Strong distributed systems skills, able to understand and account for a variety of failure modes, well-versed in end-to-end o11y, validation testing, simulation setup, etc. Worked on platform teams before, providing critical infrastructure to internal stakeholders Experienced in handling significant incidents, both as a responder and follow-up ow

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's App Primitives team owns the shared building blocks that span data structures to UI: comments, notifications, event logs, feature flags, and task management. We own the general infrastructure; product teams own the logic built on top. Getting this layer right unlocks velocity for every team at Vanta. As the Engineering Manager, App Primitives at Vanta, you'll lead the team building the shared product primitives that every Vanta product team depends on, owning the infrastructure layer that makes collaboration, communication, and core workflows possible across the entire platform. Our Engineering Managers develop and grow high-performing teams that deliver significant value to our customers and enable our business to scale. This role sits at the intersection of technical architecture and team development, with real authority to set direction and grow a world-class platform team. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Lead and grow the App Primitives team, owning hiring, team health, delivery, and the development of senior engineers and technical leads Own the strategy and roadmap for Vanta's shared product primitives: comments infrastructure, notifications platform, event log, feature flag system (Statsig), and task management Define and steward the interface model between App Primitives systems and product teams, ensuring product teams can build on top of shared infrastructure quickly and safely, without owning the underlying systems themselves Partner closely with product engineering leaders across Vanta to surface developer ne

We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! We are looking for a technical leader to manage our NVSHMEM and UCX libraries. This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries. This is a technical leadership role so you will participate in feature design and implementation. Interact with internal and external partners and researchers to understand their use cases and requirements. Collaborate with engineering teams, program and product management, and partners to define the product roadmap. Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner. What we need to see: 10+ overall years of experience in the software industry with specialization in HPC networking or system software. 4+ years of management experience. BS, MS, or Ph.D. in C

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6.5 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, an

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As an Engineering Manager leading our Reporting team, you will lead a newly structured team focused on a critical product area within GRC Program Orchestration. This role represents an exciting opportunity to shape the future of how Vanta customers understand, visualize, and operationalize their compliance and security programs. This team is focused on evolving Vanta’s reporting platform beyond dashboards into a scalable, AI-powered reporting experience. The team owns core initiatives across enterprise reporting, historical analytics, AI-assisted insights, and certified data infrastructure powering in-product experiences. This role sits at the intersection of data products, enterprise scalability, and product innovation. As reporting becomes increasingly foundational to enterprise growth, customer retention, and Vanta’s long-term AI strategy, this role will play a key role in shaping engineering execution, cross-functional alignment, and the long-term technical direction of one of Vanta’s critical product investments. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Build and scale a high-performing team: lead, coach, and grow the team while hiring strategically, identifying operational gaps, and raising the engineering bar Drive execution across strategic initiatives: Deliver against a multi-quarter roadmap spanning reporting infrastructure, enterprise reporting capabilities, AI-powered insights, and scalable data foundations Shape technical and product strategy: Partner closely with Product and cross-functional engineering teams to define the

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers via multi-channel technical support, demos, and presentations. You’ll be joining a team and company where you will be challenged, but also will immediately witness your contributions to Datadog. 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: Manage, develop, coach and mentor a team of Premier Support Engineers who respond to client requests, reproduce and troubleshoot issues, and dive into Datadog’s 600+ integrations Act as the owner for your team’s accountability and performance - partnering closely with upper management to facilitate performance reviews, performance plans, and any employee relations issues for your direct reports Ensure successful training and onboarding of new hires Guide the team through technical-training, certificates and additional learning and development needs Build out documentation and knowledge base articles for a variety of technologies Drive projects or initiatives to improve team productivity, process or procedure Collaborate with internal teams and customers on high-priority escalations and act as a resource to resolve escalations from team members as necessary Who You Are: Passionate about people management and/or mentorship with previous experience leading a team Self-motivated, detail-attentive, and have a desire for continuous learning A critical thinker who defaults to a client-centric approach A tinkerer with some programming experience and a basic knowledge of Linux Active contribution to open-source projects (code, bug reports, etc.) and the Engineeri

We are the Experimentation team at Datadog, a startup operating inside one of the fastest-growing companies in software. The team brings together engineers who joined through Datadog’s May 2025 acquisition of Eppo with engineers from across Datadog, and together we are building feature flagging and experimentation into the platform. Both products were recently launched this year, and we are just getting started: we are migrating customers from Eppo onto Datadog while shipping an ambitious roadmap across both flagging and experimentation. Our statistics engineers hold PhDs and are pushing the boundaries of what an experimentation platform can do. Our full-stack engineers move fast, lean on the latest AI tooling, and prototype and ship new features weekly. We talk to customers directly to shape requirements, and our roadmap is driven by our own product vision and sharpened by real customer and sales input. We are looking for an Engineering Manager to lead the team building the Experimentation App. You will own one to two squads to start, partnering closely with our engineers, statisticians, product managers, and designers to turn a deep roadmap into a shipped product. To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. What You’ll Do: Lead, mentor, and grow a team of strong full-stack and frontend engineers. Help them grow to the next level and continuously provide them opportunities to develop. Own delivery for the Experimentation App from planning through production, balancing speed with quality in a fast-paced environment. Set technical direction in partnership with your team and our statistics engineers, engaging credibly on architecture and tradeoffs. Partner with Product, Design, and customers directly to shape requirements and turn customer and sales input into roadmap. Foster a culture of fast iteration and high engineering standards through code reviews, design reviews, and blamele

Manager I, Engineering - Onboarding Growth This Engineering Manager will lead the Onboarding team within the Shared Capabilities organization, setting product direction, and coaching and developing team members. They will staff and drive projects that drive new users to adopt Datadog in their organizations. From the first time a new user signs up for a Datadog trial, this team is responsible for making sure they have a world class setup and onboarding experience, and can realize the full value of Datadog in their organization. Onboarding owns the “front door” of Datadog, the very first experience new users and prospective customers encounter. This work is extremely important to company success - improving our onboarding process directly impacts new users ability to find value with Datadog quickly. This role also involves close partnerships with other product teams to deeply understand customer needs and deliver compelling first-time user experiences At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Work with Product Management and Design to plan and staff projects for the Onboarding Growth team Coach and develop engineers at various levels Ensure strong cross-team communication and design best practices around project management, code review, architecture patterns, and more Build UX features to streamline the onboarding and trial experience through rapid experimentation Build out data platforms and use that data to personalize the onboarding experience for each user Work directly with product teams to ensure each product has a best in class new user experience Create AI-assisted setup options to make sure initial setup “just works” out of the box Champion the use of analytics data to analyze user behaviour and apply those insights

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Strategic Sourcing team is part of Airbnb’s Global Procurement organization and plays a key role in enabling Airbnb to operate efficiently and scale sustainably. We partner closely with internal stakeholders to design and deliver sourcing strategies that align with Airbnb’s business priorities while driving innovation, value, and stakeholder success. We are a collaborative, forward-thinking team that embraces an AI-first mindset — leveraging technology, automation, and data to simplify processes and unlock new efficiencies. Guided by Airbnb’s mission to create a world where anyone can belong, we focus on delivering value through curiosity, creativity, and integrity. Key cross-functional partners: Finance, Legal, Business Operations. The Difference You Will Make: As the Sourcing Manager supporting Engineering and Infrastructure, you will partner directly with engineering leaders to shape how Airbnb sources and manages critical technology capabilities. This role sits at the center of major technical investments, from infrastructure platforms to emerging AI technologies. You will design sourcing strategies that balance cost efficiency, engineering velocity, and long-term scalability. You will also play a key role in advancing how sourcing integrates AI and automation into its workflows. Rather than simply executing procurement processes, you will help modernize them by improving how market intelligence, supplier comparisons, and negotiation insights are generated and used in decision-making. Success in this role means helping engineering teams make faster, better technology d

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work. We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds. We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale. About the Role We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI. This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work. You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time. This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational wor

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the role Notion's Search & Context Platform is the substrate that powers how 100M+ users and, increasingly, Notion's agents find and reason over the right information. This team owns the search infrastructure and indexing systems powering lexical and semantic retrieval, the platform primitives for managing agent context and memories , and the scalability, performance, security, and enterprise capabilities that make all of it production-grade. Data growth is faster than ever, and the systems that power this need to rapidly evolve to support an order of magnitude growth—both in the volume of content we index and in the load that agents now place on the retrieval layer. As the Engineering Manager for this team, you'll lead a technically deep group of engineers building platform systems used by multiple product teams. Your most important customers are the Search & Context product team and the AI team (building agents on top of these primitives). You'll set the technical direction, product manage the platform scope on behalf of those customers, and make hard tradeoffs to move fast in service of product velocity — while keepi

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python Develop and maintain APIs using REST or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build and maintain data schema using PostgreSQL,

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At the center of the data cloud is the Snowflake Database Engineering team. We are responsible for building the core query engine used to process the massive amounts of diverse data managed by our customers. A core part of the Database Engineering group is the Query Language team which is responsible for designing, developing, and maintaining core SQL features, including advanced analytics, scripting, and the developer experience. We are seeking a Senior Engineering Manager to own and drive the effort to build core database capabilities to serve agentic workloads. You'll set the technical direction, build and grow the team behind it, and shape how the core engine and the SQL language evolve to serve this new class of workload. It's a rare chance to lead a foundational bet at the exact moment the industry is racing to solve it, with the scale, customer base, and platform to make your work matter to millions of queries a day. If you want your fingerprints on how the world's data platforms adapt to the age of AI agents, this is one of the best seats in the industry. AS A SENIOR ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL BE EXPECTED TO: Drive the evolution of core database and SQL capabilities to serve emerging AI and agentic workloads alongside traditional analytics Lead and g

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The Advisor Experience team is a new engineering team within Addepar’s Core Product Engineering organization, focused on building the products and experiences that define how financial advisors and their clients interact on the Addepar platform. Initially this role will focus on our new Secure Message Center — a compliant messaging experience built into Addepar’s client portal — but the scope extends well beyond messaging. We’re building the connective tissue between advisors and the investors they serve, creating workflows that make every interaction more informed, more personal, and more seamless. As the Engineering Manager for this team, you’ll lead a small, growing group of engineers and shape both the technical direction and team culture from the early stages. You’ll partner closely with product management and design to translate an ambitious product vision into shipped software. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Lead, mentor, and grow a team of full-stack en