Lead Engineering Manager Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Engineer on the FinHub - Ledger team within the Platform group, you'll own the architectural direction of Coinbase's core ledgering systems that process billions of transactions. This team builds the foundational infrastructure that powers financial accuracy and reliability across the company. You'll make critical technical decisions, drive platform improvements, and lead high-impact cross-functional projects that define how we build scalable, highly available systems at Coinbase's growing scale. What you’ll do: Architect and build foundational backend systems with a focus on performance, scalability, and reliability across ledgering and transaction processing infrastructure Drive strategic technical direction for complex, cross-team initiatives spanning engineering, product, and finance Establish and evolve platform best practices, frameworks, and architectural standards that raise the quality bar for the broader engineering organization Provide deep technical mentorship, guide design decisions, and develop senior engineers across the team Shape the team's technical roadmap by collaborating with engineering leadership to identify high-leverage investments and anticipate scaling bottlenecks Embed AI into engineering and operational practices to drive system improvements and workflow efficiency Required skills and experience: 8+ years building and ope

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Software Engineer, Backend - Platform (Tokens & Wrapped Assets) We're hiring a Senior Software Engineer to join the Tokens & Wrapped Assets team within the Platform organization. This team builds and operates the platform that issues, wraps, and transforms every asset at Coinbase, including flagship wrapped assets like cbBTC, spanning Ethereum, Base, and Solana. You'll own complex projects end-to-end, from smart contract through APIs and production rollout, designing and operating the Go services that mint, burn, bridge, and reconcile wrapped assets across chains. What you'll do: Own end-to-end delivery of complex token and wrapped asset initiatives, from smart contract deployment through API design, SLOs, and production rollout across multiple chains. Build and operate the Go services and smart contracts that mint, burn, bridge, and reconcile wrapped assets, ensuring correctness across on-chain and off-chain systems. Drive improvements to the asset transformation and migration pipeline, making it dramatically faster and safer to launch, upgrade, and migrate tokens at scale. Partner across Trading, Custody, USDC, Compliance, and the broader crypto stack to ship customer- and revenue-impacting work that advances onchain innovation. Lead on-call ownership for team services, building observability, runbooks, and operational improvements that keep T

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Software Engineer within the Security Platform Engineering group, you'll serve as the primary execution anchor for our most critical regulatory and cryptographic initiatives. This team owns Coinbase's Tier-0 Multi-Party Computation (MPC) engine, which secures 99% of assets under custody. You'll lead the development of high-availability services that directly protect customer assets and ensure global regulatory compliance from our Israel office. What you'll do: Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance Define technical strategies with a multi-quarter horizon, bringing clarity to highly ambiguous requirements for novel cryptographic solutions Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution Required Skills and Experience: 8+ years of experience in software engineering with demonstrated success building highly available, distributed systems Deep domain expertise in applied cr

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Software Engineer, Backend (Platform - Identity IDV) We're hiring a Staff Software Engineer to own the multi-year technical vision and architecture for Coinbase's identity verification platform within Platform . This platform powers the decision engine, vendor orchestration, and infrastructure that determines whether an identity is genuine at global scale - processing approximately 700K verifications per month across Retail, Prime, and Institutional business lines. You'll define the identity trust layer that every Coinbase product will be built on, leading a three-year arc from platform consolidation through vendor-agnostic orchestration to self-serve scalability for the next billion users. What you'll do: Own end-to-end architecture and technical direction for Coinbase's IDV platform - the decision engine, vendor orchestration layer, and verification infrastructure that all business lines depend on. Lead platform consolidation by migrating all IDV onto a single decision-engine-driven platform, retiring 100+ legacy rules and fragmented paths, and eliminating single-vendor points of failure. Design and build vendor-agnostic orchestration with automated, real-time routing and failover that selects the optimal vendor per request and dynamically balances fraud prevention (FAR) against user access (FRR/SCR). Scale the platform to support every new product, re

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Software Engineer, Core Cryptography As a Senior Software Engineer on the Core Cryptography team within Security, you'll act as a primary execution anchor for our most critical regulatory and cryptographic initiatives. This team is the deep-expertise center for Coinbase's Tier-0 cryptographic infrastructure, including the foundational Multi-Party Computation (MPC) engine which secures 99% of assets under custody. You'll lead the development of highly sensitive, high-availability services that directly protect customer assets and ensure global regulatory compliance. What you'll do: Own the design, implementation, and end-to-end integration of critical cryptographic infrastructure, including services required for global regulatory compliance Lead infrastructure setup, continuous deployment, and observability strategies to proactively resolve production incidents and ensure catastrophe recovery Drive complex integration challenges, implementing secure and resilient infrastructure in a high-stakes, zero-trust environment Shape engineering quality as a technical mentor, promoting rigorous code reviews, comprehensive design documents, and best practices across the team Partner with cross-functional stakeholders across Security, Product, and Policy to drive flawless execution Required Skills and Experience: 5+ years of experience in software engineering with demonstr

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. L9 - Senior Business Solutions Engineer, Legal Tech 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 Legal Technology team, within the BizTech organization, leads the mission to deliver innovative technology, empowering our legal function to utilize technology productively, driving connection, and scale support. This role sits within BizTech and partners directly with Airbnb's global Legal organization to accelerate the deployment of AI-powered tools, implementation of legal systems & integrations, and workflow automation across the CLO org. The Difference You Will Make: We're looking for a world-class Senior Business Systems Engineer to help redefine how Legal operates. You'll deliver fast, practical solutions using internal tools and agentic AI — owning system and tool changes end-to-end, from design through support. You'll spot what's slowing teams down, champion best practices, and safeguard data integrity across our platforms — all while staying ahead of how AI is reshaping the way we work. This isn't conventional IT or Legal Ops. You'll be embedded directly within our Legal teams, solving real challenges in real time. As a key driver of our Legal Tech strategy, you'll lead the deployment of AI agents, legal application implementations, and automation that

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. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels. Responsibilities Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products. Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning. Define and own the multi-year ML roadmap for GenA

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

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 Staff Software Engineer, Product Security for our Security Foundations team. Product security sits at the center of the trust customers place in the Snowflake platform, and this role owns the hard technical problems that keep that trust intact. You will drive security architecture and secure-by-design practices across engineering teams, shaping how new products are built rather than reviewing them after the fact. AS A STAFF SOFTWARE ENGINEER, PRODUCT SECURITY AT SNOWFLAKE, YOU WILL: Set the technical direction for product security across multiple engineering teams, influencing architecture decisions before code is written Design and build security-critical services, frameworks, and controls that other engineering teams adopt as defaults Lead threat modeling and security design reviews for the platform's most complex and high-risk systems Partner with product and engineering leaders to embed secure-by-design principles into the development lifecycle Investigate and drive resolution of the highest-severity security issues, then eliminate the underlying class of problem, not just the instance Mentor senior and mid-level engineers, raising the security engineering bar across the organization Own initiatives end to end, from problem framing and scoping through de

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 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. Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We are looking for a Software Engineer who can join our efforts in continuing to lead the industry in ease-of-use and customer delights. What you’ll work on You’ll help build SnowCommand, Snowflake’s internal production gateway for safe, governed operations. SnowCommand gives employees a single place to work

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. As a Principal Engineer on the Data Platform team, you will be a technical anchor — setting direction, solving the hardest engineering problems, and elevating the entire team. You will work at the intersection of systems design, long-term architecture, and real-world engineering execution. In this specific role, you will lead the evolution of our declarative data pipelines, focusing on streaming ingestion and transformations. What You'll Do Drive the technical strategy and architecture for key Data Platform initiatives, focusing heavily on real-time data movement and incremental processing. Lead design reviews and set engineering standards across teams. Identify and resolve high-impact technical challenges and systemic bottlenecks to reduce latency and improve the efficiency of dynamic tables at cloud scale. Mentor and grow senior engineers; raise the engineering bar. Partner closely with product and infrastructure leadership on roadmap and direction. Continuous hands-on technical deliverables in the most critical areas. What We're Looking For 14+ years of software engineering experience with deep expertise in distributed systems. Demonstrated track record of defining and delivering platform-scale technical initiatives. Expert-level knowledge of streaming and/or batch data

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 Staff Research Scientist, Physical AI for our AI Research team . You will build the next-generation training and learning platform for physical AI: models that perceive, reason about, and act within structured environments . This is a greenfield (0 to 1) effort at the intersection of representation learning, world models, and policy optimization. You will help define its technical direction from day one. AS A STAFF RESEARCH SCIENTIST YOU WILL: Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures) Develop latent world models that learn environment dynamics through imagined rollouts, enabling model-based reasoning and planning (Dreamer-style, I-JEPA/V-JEPA families) Architect and implement action/policy model pipelines, including vision-language-action models and diffusion-based policy learning Build generative simulator frameworks that produce controllable, physically plausible future states (video world models in the spirit of Cosmos/Genie/Sora) Develop multimodal generative model capabilities that fuse visual, language, and structured inputs for downstream reasoning and decision-making Lead cross-team technical de

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. Snowflake's Data Engineering organization builds the platform that ingests, transforms, and stores data for modern lakehouse architectures — powering billions of queries, DML, and DDL operations with industry-leading price-performance. We lead the industry's shift to open data lakes through our work on Iceberg and Polaris, and we deliver capabilities like Snowpark, Dynamic Tables, cross-region replication, time travel, and zero-copy cloning at enterprise scale. We are investing in a new line of applied research — building toward verified data infrastructure and trustworthy data systems — that brings formal methods, automated reasoning, and modern AI techniques to bear on the hardest problems in our distributed systems and developer tooling. The goal is to improve correctness, reliability, and engineering velocity at a scale very few platforms operate at. We're hiring at both the Staff and Principal level; we'll calibrate the offer to the candidate's experience and scope of impact. What you'll do Lead research projects that apply formal methods, program analysis, automated reasoning, and AI-driven techniques (including code generation and modeling) to real problems in our cloud data platform. Translate research ideas into prototypes, then into shipped capabilities that move

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. Our teams develops in-house connectors to connect with external systems and data warehouses. We are working to connect Snowflake with Fortune 500 companies - in the cloud. In this area you will be working on exposing API, blueprints and frameworks for other developers to create their own connectors. YOUR RESPONSIBILITIES Design and develop data integration and processing applications. These applications replicate data from various data sources (including relational databases, saas, data streams) into Snowflake, following CDC patterns. Develop and extend a robust connector platform to standardise and accelerate the development of connectors, either developed by Snowflake or by third parties. Typical example includes developing a scheduling service ensuring timely execution of tasks and optimal resource allocation. Optimize performance of the ingestion, meet with customers & troubleshoot issues and secure data transfer from external systems. Collaborate with teams across the organization and roles. Create design documents and present them to architects and other stakeholders, including company founders. Lead and mentor a group of engineers Coordinate synchronous and asynchronous communication to ensure goals are met. Collaborate with PMs and customers to understand busine

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 AI Products team The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily. This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses. Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications. As a Staff Software Engineer on AI Products, you will Lead the design and delivery of large, complex initiatives spanning multiple teams, turning ambiguous product and platform opportunities into durable technical solutions. Shape the architecture for how datasets, applications, semantic assets, and agentic capabilities are shared, discovered, governed, and invoked across Snowflake surfaces and third-party agent