Engineering Effectiveness Manager Jobs

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for an Engineering Manager to lead part of our Inference Performance team. This team makes the world's most demanding AI workloads run faster and more efficiently on GPUs. You'll manage and grow a team of inference performance engineers working across the inference engine and runtime: kernels, scheduling, batching, KV-cache management, speculative decoding and prefill/decode disaggregation. This is a hands-on technical leadership role. You'll set direction, unblock hard problems and earn the team's trust by going deep on GPU performance, while also hiring, developing and supporting the people doing the work. Your team's output directly affects how fast our customers' models run and how efficiently we serve them. The team is scaling quickly, so you'll help shape how it is structured as it grows. EXAMPLE INITIATIVES Your team will work on these types of projects as part of our Inference Runtime team: Agentic inference optimization: 50-90% faster engines Agentic Kernels in Production Live draft model training for speculative decoding The Baseten Inference Stack RESPONSIBILITIES Lead, mentor and grow a team of inference performance engineers through regular 1:1s, clear feedback, career development and performance reviews. Hire top GPU and inference engineering talent, and build a strong, collaborative team culture as the runtime team scales. Own the technical roadmap and execution for runtime performan

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities Engineering Operations Support Create, release, and track engineering lots within manufacturing systems. Monitor hold lots and support timely issue resolution. Execute authorized MES transactions, including lot creation, issue lot, undo process, and lot recovery activities. Support CQ lot start requests and engineering build execution. Support engineering and manufacturing operational meetings and follow-up actions. Material & Logistics Management Receive FOUPs from warehouse and verify material readiness. Perform FOUP/FOSB transfers to support engineering and qualification activities. Execute FOSB packaging and shipment preparation. Prepare shipment documentation and logistics records. Coordinate wafer and sample delivery for laboratory analysis activities. Support kit and re-kit activities for engineering lots. Inspection & Process Support Configure inspection-related recipes and operational setup activities. Modify and maintain Atlas maps to support engineering execution. Support transaction recovery activities, including system troubleshooting and data verification. Perform routine operational checks to ensure lot readiness and processing continuity. Troubleshooting & Continuous Improvement Investigate hold lot issues and support recovery actions. Escalate manufacturing

Zoox is on a mission to reimagine transportation and build autonomous robotaxis from the ground up that are safe, reliable, clean, and enjoyable for everyone. With bidirectional driving capabilities and four-wheel steering, our vehicle allows us to maneuver through compact spaces and change directions without needing to reverse. We are at a critical inflection point as we scale our robotaxi deployment, and it is a great time to join Zoox and have a significant impact on executing our mission. Our growing ML performance engineering leadership team is looking for an Engineering Manager, ML Performance Optimization. The centralized ML performance team at Zoox plays a crucial role in enabling innovations across all our ML research teams to develop and deploy models across our robotaxi and cloud infrastructure and to advance cutting-edge training and inference optimization techniques. The Opportunity We are working on many interesting challenges to enable rapid experimentation and scale our multi-modal Foundation models and RL infrastructure, and ensure these models run efficiently on our vehicles, meeting our latency targets. You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation and our Advanced Hardware Engineering group, and have the opportunity to significantly push the boundaries of ML scaling and acceleration at Zoox. You will lead a team of strong ML performance engineers and this team has many growth opportunities as we expand our geofences at U.S markets and venture into new ML domains. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. In this role, you will: Leadership & Team Growth <span style="font-size: 11pt; font-family:

Sigma unlocks the value of data by delivering cloud-scale analytics and business intelligence with the simplicity of a spreadsheet, complete with pivot tables and dashboards. We empower business professionals and data teams to quickly explore, analyze, visualize, and collaborate, leveraging all of their data across the organization. Our internship program at Sigma: Sigma’s Early Career Program is the launchpad for the next generation of engineers and innovators. As an Intern at Sigma, you’ll work on various production features and learn efficient engineering for large scalable systems. Our interns work directly with our engineers, product leaders, and designers across the organization everyday. We’re looking for students who bring curiosity, a spirit for collaboration, and a desire for shaping the future of business insights and data exploration. Internship Program Qualifications: Current student : Applicants must be currently enrolled in a university undergraduate or graduate degree program in the U.S with a graduation date of December 2027 or later Able to intern from June 2027 through August/early September 2027 (dates flexible) Authorization : You must be legally authorized to work in the US during the Summer 2027 program Visa sponsorship is not available for our internship positions Location: Our remaining internships are in-person and located primarily within San Francisco, CA or New York, NY. Relocation assistance will be provided for students who will need to relocate for the Summer in the form of a relocation bonus. Applicants must be able to work in-person in our office in San Francisco, CA or New York, NY for the duration of their internship About the role: Sigma’s Engineering organization is a dynamic, high performing team of Software Engineers who complement each other's skills. Our Engineers design, implement, and scale technical solutions that power our core product and enable our users to make data driven

Sigma unlocks the value of data by delivering cloud-scale analytics and business intelligence with the simplicity of a spreadsheet, complete with pivot tables and dashboards. We empower business professionals and data teams to quickly explore, analyze, visualize, and collaborate, leveraging all of their data across the organization. Our internship program at Sigma: Sigma’s Early Career Program is the launchpad for the next generation of engineers and innovators. As an Intern at Sigma, you’ll work on various production features and learn efficient engineering for large scalable systems. Our interns work directly with our engineers, product leaders, and designers across the organization everyday. We’re looking for students who bring curiosity, a spirit for collaboration, and a desire for shaping the future of business insights and data exploration. Internship Program Qualifications: Current student : Applicants must be currently enrolled in a university undergraduate or graduate degree program in the U.S with a graduation date of December 2027 or later Able to intern from June 2027 through August/early September 2027 (dates flexible) Authorization : You must be legally authorized to work in the US during the Summer 2027 program Visa sponsorship is not available for our internship positions Location: Our remaining internships are in-person and located primarily within San Francisco, CA or New York, NY. Relocation assistance will be provided for students who will need to relocate for the Summer in the form of a relocation bonus. Applicants must be able to work in-person in our office in San Francisco, CA or New York, NY for the duration of their internship About the role: Sigma’s Engineering organization is a dynamic, high performing team of Software Engineers who complement each other's skills. Our Engineers design, implement, and scale technical solutions that power our core product and enable our users to make data driven

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. About the Team Snowflake engineering takes pride in building highly reliable and scalable products.In the era of autonomous AI agents and continuous deployment, a traditional testing model breaks down under massive PR volume. Our AI pilled engineers treat validation as a scalable, developer-first platform. The Release Validation Team builds test frameworks that make continuous deployment safe, cost-efficient, and agent-friendly. Our customers are Snowflake engineers and their army of agents. How do Snowflake engineers keep their agents running autonomous for hours and days, landing quality PRs with human interventions? They rely on layers of validation that agents can execute in high-fidelity production simulation. We give Snowflake the confidence to ship at speed without compromising Snowflake’s core brand promise: extreme reliability. In this role, you will: Lead and grow the team . Hire, mentor, and develop engineers working on test infrastructure, automation, and developer tooling. Build a culture of ownership, technical excellence, and focus on the customer. Set strategy and roadmap . Define and drive the multi-quarter vision for release validation: faster signals, fewer blockers, better test quality, and lower cost. Own the validation platform . Be accountable for the

Zoox is on a mission to reimagine transportation and build autonomous robotaxis from the ground up that are safe, reliable, clean, and enjoyable for everyone. With bidirectional driving capabilities and four-wheel steering, our vehicle allows us to maneuver through compact spaces and change directions without needing to reverse. We are at a critical inflection point as we scale our robotaxi deployment, and it is a great time to join Zoox and have a significant impact on executing our mission. Our growing ML performance engineering leadership team is looking for an Engineering Manager, ML Performance Optimization. The centralized ML performance team at Zoox plays a crucial role in enabling innovations across all our ML research teams to develop and deploy models across our robotaxi and cloud infrastructure and to advance cutting-edge training and inference optimization techniques. The Opportunity We are working on many interesting challenges to enable rapid experimentation and scale our multi-modal Foundation models and RL infrastructure, and ensure these models run efficiently on our vehicles, meeting our latency targets. You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation and our Advanced Hardware Engineering group, and have the opportunity to significantly push the boundaries of ML scaling and acceleration at Zoox. You will lead a team of strong ML performance engineers and this team has many growth opportunities as we expand our geofences at U.S markets and venture into new ML domains. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. In this role, you will: Vision: Develop and execute a strategic vision and roadmap for ML Train

We design Spotify's consumer experience—end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify. You'll lead a senior-heavy group of 10–12 machine learning engineers, including Staff engineers, who team up dynamically to solve high-priority business problems while staying deep in content understanding (audio, video and text). This is a player-coach role with a strong strategic remit: you'll shape where the group goes next, grow our audio understanding expertise over the long term, and help the team scale through thoughtful, practical use of AI in everyday engineering work. What You'll Do Lead, coach and grow a group of 10+ senior and Staff machine learning engineers who team up dynamically around business problems while staying deep in their domain. Set technical and team strategy for multiple content understanding problems and turn it into clear, achievable plans. Own delivery of high-priority company initiatives, from shaping the problem through to measurable impact for listeners. Stay close to the technology as a player-coach. Lead technical strategy, reviewing designs, guiding modelling and retrieval choices, and contributing hands-on where it helps the team most. Define and champion a practical point of view on how ML engineers use AI tools in their day-to-day work, and help the team realise real productivity gains. Partner with product, design, research and other engineering leaders across Spotify

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Claude is getting good at research. Given a well-posed problem, it can read the literature, write and run simulations, analyze results, and iterate on a design across physics, materials, chemistry, and engineering. But most of the hardest problems in science and engineering aren't well-posed. They live inside companies and labs with their own data, tools, constraints, and experts, and progress depends on turning all of that into work a model can actually do and check. Our Applied AI, Science & Engineering team takes Claude to the scientists and engineers working on hard problems in energy, materials, hardware design, and other physical-world fields. We build the tools Claude needs to do real research and engineering work. Mostly that means software: the agent harnesses, integrations, evaluations, and working processes that turn a partner's problem into something Claude can make progress on and validate. We find real-world problems and test what we build through partner engagements, then feed our learnings back to our research and product teams. It's early, and the engineers who join now will shape how Claude gets applied to science and engineering. This is an engineering role first. You'll spend real time with domain experts, become the person who knows how to get Claude working in their field, and prototype quickly alongside

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

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. We are hiring a rock star leader for our ES AI team. This team plays a crucial part in transforming how the Snowflake product is developed, evaluated and supported. The job is no less than building the ecosystem that powers our AI-pilled engineers and our agentic organizations and reinvents the SDLC for Snowflake. As the manager for this growing team, you will lead the group of engineers working to reinvent how code is written, reviewed and runs in production to usher scale and velocity for the AI era. With context as the new source code, you will make it possible for every engineer at Snowflake to deliver through intent and direction. In this role, you will: Lead, coach, and grow the while creating a high-energy, cohesive environment with strong planning, ownership, and career development. Deliver the vision and roadmap for transforming the SDLC for all Snowflake engineers. Drive measurable improvements in code review latency, ensure Snowflake developers can use the latest harnesses and models, and create the golden paths that agentic codebases are built upon. Act as an agent of clarity in a space that is moving fast, making high quality decisions quickly by keeping up with the latest developments in the industry. Own operational excellence for the area, including on-call

At Qualia, we've built the leading B2B real estate technology that transforms the home buying and selling experience into a simple, secure, and enjoyable process. Our SMB and Enterprise products bring together users from across the real estate ecosystem—homebuyers and sellers, lenders, title and escrow agents, and real estate agents—onto a single shared digital closing platform, providing greater clarity and transparency to real estate transactions. Today, through our business customers across the country, millions of consumers use Qualia to close on homes every year. WHAT YOU’LL WORK ON We are hiring an entrepreneurial hands-on Engineering Manager to lead Qualia’s Payments team. This is a builder/player/coach role, and you won’t just run a team - you’ll redesign how a modern Engineering Payments team operates when AI can do the first pass on nearly everything we used to do by hand. As an Engineering Manager, Payments, you've been in the fintech industry for a while and have a proven track record of success. You are comfortable leading complex, high-liability projects. You have experience making key architectural decisions and performing the research to back up those decisions. You've dealt with the consequences of your mistakes, and you know how to fight fires if necessary. You enjoy mentoring and providing support. You've thrived in different environments and realize that each team is unique. Every real estate closing ends with money changing hands: earnest money deposits, loan funding, mortgage payoffs, seller proceeds, and commissions. Qualia powers a substantial portion of U.S. residential home sales every year, totaling billions of dollars in transaction volume. The Payments team builds the systems that move those funds safely, accurately, and on time. Our engineers are entrepreneurial, pragmatic builders who move quickly without cutting corners, and who are as comfortable owning a project end to end as they are collaborating with a team. We ship frequen

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the team SmithDB is LangChain's internal database team. We're building a storage and query layer purpose-built for AI observability and evaluation. Within six months we went from idea to a production system that offers industry leading performance and scalability for agent observability data. We're a small, fast team of systems engineers tackling genuinely hard problems: storage layout, query execution, compaction, and scaling toward trillions of agent traces. We develop in Rust, run on Kubernetes, and integrate tightly with S3/GCS/Azure Blob. There are no legacy constraints; this is a greenfield system with real production load and ambitious engineering goals. About th

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 Mobile Development Productivity team makes building, testing, and releasing Stripe’s mobile applications and device-integrated software fast, reliable, and secure. The team owns the mobile development platform end to end, including development environments, simulators and emulators, continuous integration, automated testing, builds, and releases. We support engineers working across iOS, Android, React Native, Kotlin Multiplatform, mobile SDKs, and device-integrated software. Our customers include engineers working on Stripe Dashboard Mobile, Link, Stripe’s mobile SDKs, and Terminal. We enable mobile engineers to use AI agents throughout the development process, including writing code, running tests, and validating changes across mobile platforms. Our work reduces manual release effort, improves test coverage, and makes mobile development faster and more reliable. What you’ll do You will lead the Mobile Development Productivity engineering team and set the technical strategy for the platform Stripe engineers use to build mobile applications and device-integrated software. You will work with engineers and leaders across mobile product and infrastructure teams to identify shared development challenges, align priorities, and translate a long-term technical vision into focused plans for your team. You will grow and support a team that builds development environments, continuous integration systems, test infrastructure, and secure build and re

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team World-class customer service is one of the cornerstones of Wolt 💙 We're about delivering exceptional customer experiences and are looking for someone who understands the power of outstanding support. Someone who thrives on leading an engineering team to excellence and who believes in the importance of effective communication. Imagine being at the helm of a team dedicated to ensuring every customer interaction is a delight. As an Engineering Manager in this team, you'll have the opportunity to lead a diverse team of engineers who are passionate about building top-notch support products and tools. With your guidance, they'll be empowered to tackle challenges head-on and build a high-load real-time system, crucial to continue supporting the growth of our business. About the Role You'll be the driving force behind our support operations, leading a cross-functional team across backend, web, and mobile development. Fostering their growth, and ensuring they have the support they need to thrive. Your days will be filled with collaboration, mentorship, and strategic planning as you lead your team through the weekly cycle, create personal development plans, and conduct regular one-on-ones. But it's not just about leading a team; it's about making an im