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Engineering Team Lead Jobs

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FEQ427R261 Mission We are seeking a Sr. Manager, Solutions Architects (SAs) to lead our Intelligence Community (IC), Navy, Air Force and Space Force team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth. The Impact You Will Have Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode. Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs What We Look For Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI). Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective Trusted advisor to technical executives that guide strategic data infrastructure decisions. Lead a team through best prac

machine learningaiExcel
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Scale AI
📍 San Francisco• $248.4K – $310.5K/yr
11mo ago

About Scale Scale's mission is to develop reliable AI systems for the world's most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world's most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems is Scale's team focused on pushing the frontier of what agentic applications can do. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale enterprises and governments demand. We're growing fast, with increasing traction across both commercial and public sector customers, and we're just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As Engineering Manager for Agent Oversight, you'll lead the team building our platform for monitoring, evaluating, and improving agentic applications across enterprise and government customers. Agent development tooling is still nascent industry-wide, and we're building the platform to close that gap — covering deployment, monitoring, evaluation, ML-driven improvement, and continuous learning, so agents get better over time. You'll manage the engineering team, drive technical delivery, and work cross-functionally with customers and internal partners to bring these capabilities to production, with the ambition of setting the industry standard for how agentic applications are monitored and improved. Our platform already powers agent deployments for multiple enterprise and government customers. This is a US-based team with members across New York and San Francisco, and yo

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Vanta
📍 United States• Full-time• Remote• $224K – $263K/yr
6 days ago

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 Engineering Manager for the Vanta for Government team, you'll lead a team on one of Vanta's most strategically significant expansion bets: building the compliance platform that will serve government vendors, federal agencies, and SLED organizations at scale. The Vanta for Government team is building and evolving Vanta's AI-powered platform for government vendors, federal agencies, and State, Local, and Education (SLED) organizations. Our mission is to make government compliance not easy, but easier: helping organizations automate the heavy lifting across complex frameworks like FedRAMP, CMMC, and NIST, strengthen their security posture, and support mission-critical work with greater confidence. You'll join at a critical juncture in the product's development, working directly alongside early design partners, translating evolving requirements into real product, and establishing the engineering practices and team culture that will define how this team operates as it grows. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as a Engineering Manager at Vanta: Build and grow a high-performing team: lead, coach, and develop engineers while hiring strategically, closing gaps in team composition, and raising the bar on quality and delivery Drive execution across the government product roadmap: deliver against multi-quarter initiatives spanning core compliance workflow features, FedRAMP/CMMC/NIST-specific capabilities, and integrations designed for government vendors and customers Partner closely with Product and Design to define what gets built and in what order — translating ambiguous, e

REMOTEai
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Zoox
📍 Foster City• Full-time• Hybrid• $276K – $343K/yr
12 days ago

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

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Replit
📍 Foster City• Full-time• Remote• $250K – $325K/yr
24 days ago

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Replit enables people to build software with AI. The infrastructure underneath that experience must make it straightforward to launch services, isolate workloads, and run reliable systems at scale. We're hiring a hands-on Engineering Manager to lead Cloud Infrastructure: the shared infrastructure as code (IaC), networking, storage, compute, and service mesh platforms that Replit's product and platform teams depend on. You'll lead and grow an existing engineering team building and operating these foundations, including Kubernetes, shared edge networking, service mesh and workload identity. This is a platform-building role with production accountability. You should be comfortable going deep on a design or incident while developing a team that does not depend on you for every decision. What You'll Do Own the cloud-platform roadmap. Lead the team's IaC, networking, storage, compute, and service mesh platforms. Translate product, platform, reliability, and security needs into sequenced outcomes, balancing foundational investment, lifecycle work, and delivery commitments against the team's capacity. Make infrastructure repeatable and self-service. Build maintained IaC interfaces for services, cells, connectivity, identities, and shared resources. Enable internal customer teams to provision infrastructure without bespoke coordination or dependence on individual experts. Operate what the team builds. Own platform availability, upgrades, isolation, recovery, and incident remediation. Maintain clear SLOs, sustainable on-call coverage, and primary and backup owners for critical systems. Stay technically engaged. Review designs and production changes, debug difficult failure modes, and use AI coding tools—including

REMOTEgcpkubernetesai
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Sentry
📍 San Francisco• Full-time• Remote• $220K – $400K/yr
26 days ago

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 Sentry's Infrastructure Engineering team is what makes operating Sentry simple, safe, and seamless for every other engineering team in the company. They build the internal control platforms, configuration systems, traffic routing, and automation that let product engineers operate services safely at scale without needing deep infrastructure expertise themselves. As the Engineering Manager for Infrastructure Engineering, you'll lead a team of engineers building the tools that power Sentry's growth: internal admin and change management tools, configuration automation, and the routing layer that underlies Sentry's architecture. You'll be responsible for technical vision, team health, system reliability, and partnership with engineering teams across the company who depend on your team's tools every day. You'll work closely with leaders across Infrastructure, Platform, and Production Engineering to shape how Sentry scales its operational model as the company grows. In this role you will Lead a team of engineers building the internal control platforms that every engineering team at Sentry relies on to operate services safely. Drive the evolution of Infrastructure Engineering's platform, including configuration management, traffic routing and environment controls Own the team's technical direction, contributing to key decisions on API architecture, internal tooling design, and automation frameworks. Nurture and grow engineers at different levels, providing support through coaching, mentorship, and career development. Foster an inclusive, high-performing team culture focused on ownership, learning, and delivery. Partne

REMOTEpythonkubernetesai
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Intel
📍 Oregon• $133.8K – $219.6K/yr
28 days ago

Job Details: Job Description: The Role and Impact: Join Intel's Module Development Engineering team as a manager, where you will lead a group of talented engineers in crafting innovative solutions for next-generation technology development in wafer processing, assembly/test, and module repair factories. As a key driver of Intel's technological advancement, you will play a pivotal role in ensuring the successful development, transfer, and implementation of cutting-edge technologies that enable Intel's leadership in power performance, structural efficiency, and cost optimization. With a focus on driving results and fostering collaboration across multiple organizational boundaries, this role offers an opportunity to make a significant impact on Intel's global manufacturing capabilities and future technological roadmap. Key Responsibilities: - Lead a team of module development engineers to develop, implement, and transfer advanced technology solutions. - Define and oversee technology roadmaps for the module, ensuring alignment with Intel's strategic goals. - Manage resources, set priorities, and foster collaboration across teams to meet project schedules and maximize operational outcomes. - Partner with integration, device, and yield engineering teams to develop robust process solutions that deliver power performance and area leadership. - Build and maintain partnerships with supplier executive management to nurture unique industry ideas and research innovations. - Coach and mentor engineering teams in pathfinding and technology road mapping for advanced technology development. - Develop long-term strategies for module engineering capabilities to support emerging technological requirements. - Ensure accountability and drive team results by setting clear goals, performance benchmarks,

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1mo ago

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Manager, Electrical Engineering is responsible for the electrical systems of the KARNO generator, including high-voltage power electronics, battery systems, low- and high-voltage architecture, wiring harnesses, and the hardware that converts linear motion into electrical output. This is a working manager role: the position leads and develops a team of electrical engineers while remaining directly involved in technical execution, including circuit architecture, schematic review, and hardware bring-up in the lab. The Manager is accountable for the technical excellence, safety, and reliability of the electrical engineering function, and for establishing the design standards and review practices the team works to. The position plans team capacity, owns hiring and development for the electrical engineering staff, and partners with mechanical, controls, supply chain, and program management on system integration. KARNO systems are deployed in data center, military, and industrial applications. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Own critical electrical designs personally, including regular time at the bench and in the test cell, while leading the team as a practicing engineer. Lead the electrical engineering team in the design and development of KARNO generator electrical systems, including high-voltage power electronics, battery systems, linear generator power stages, and low-voltage controls hardwar

aisupply chainhuman resources
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Anthropic
📍 Ca New York City• $405K – $485K/yr
1mo ago

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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, CPU families, and clouds. The Capacity Engineering team is responsible for making sure all of our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute — one of the company's largest areas of spend. As the Senior Engineering Manager for Capacity Engineering, you will lead the team that builds and operates these production systems. You'll set technical direction, grow and develop a team of senior and staff-level engineers, and be accountable for the reliability and correctness of surfaces that leadership, research engineering, inference, infrastructure, and finance all depend on. This is a hands-on leadership role and will be onsite 5 days a week: we expect you to stay close enough to the systems to review designs, make sound architectural calls, and step into an incident when the team needs you — while spending most of your time on people, priorities, and cross-organizational alignment. The team's work spans three overlapping areas, and you'll be responsible for balancing investment across them as business priorities shift: Data platform — Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Consumers range from research engineers to finance to leadership, s

pythonsqlaws
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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 Mission: Lead the engineering team building the Requirements Management API and infrastructure that enables Stripe to collect, explain, track, and resolve risk requirements throughout the user lifecycle from onboarding through ongoing monitoring. This work makes Risk reusable across products, markets, and user types, while helping Stripe expand regulated financial products without rebuilding compliance and risk workflows for each new use case. The Scale: The team’s interfaces and standards influence how requirements are created and fulfilled across Risk, Onboarding, and product integrations—not just a single product experience. This requires broad cross-team influence across 6+ teams. It is currently 6 people and actively hiring. The Complexity: This role has technical complexity in both API design and system scalability / reliability. The underlying system is used broadly across all of Stripe, serves a high volume of traffic, and has critical SLOs backing meaningful user-facing APIs. The role also requires strong product judgment: translating risk-management needs into reusable APIs that work for Risk teams while delivering clear, effective remediation experiences for Stripe users. The Stakeholders: Partner with Risk Engineering teams, Onboarding, Product, Data Science, and product teams integrating with the platform. You will align decisioning, information-collection, and user-facing presentation experiences around consistent, expl

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Anthropic
📍 Ca New York City• $405K – $485K/yr
2mo ago

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 The Network Security team's remit is to secure Anthropic's networks across our cloud providers and our bare-metal AI data centers. We own egress and ingress controls, network segmentation, private connectivity between environments, and encryption in transit. We design, build, and maintain these controls, and we write the software that deploys, enforces, and monitors them. These controls protect our model weights, customer data, and internal assets. We are hiring an Engineering Manager to lead this team. Anthropic is adding data center sites and cloud regions quickly, and the team will grow with that work. In this role you will set the team's charter, practices, and priorities. You will partner with our infrastructure networking, cluster, and data center teams so security is built into network designs from the start. The goal is secure-by-default networking that lets research and product teams use compute in any environment without slowing them down. Key responsibilities We're hiring an Engineering Manager to lead a Network Security Engineering team in executing across critical initiatives including, but not limited to: Own the network security roadmap: threat model from the management plane through Kubernetes and cloud interconnects, decide what to build, and deliver it Be able to reason about the design and implementation of default-deny ingress and egress, segmentation between research, training, and production, private connectivity, and mTLS/service identity across every environment Ship these as secure-by-default primitives so new clusters, VPCs, and data center links inherit the right boundaries without security on

kubernetesailogistics
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Sentry
📍 San Francisco• Full-time• $220K – $450K/yr
2mo ago

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 Sentry's Infrastructure Engineering team is what makes operating Sentry simple, safe, and seamless for every other engineering team in the company. They build the internal control platforms, configuration systems, traffic routing, and automation that let product engineers operate services safely at scale without needing deep infrastructure expertise themselves. As the Engineering Manager for Infrastructure Engineering, you'll lead a team of engineers building the tools that power Sentry's growth: internal admin and change management tools, configuration automation, and the routing layer that underlies Sentry's architecture. You'll be responsible for technical vision, team health, system reliability, and partnership with engineering teams across the company who depend on your team's tools every day. You'll work closely with leaders across Infrastructure, Platform, and Production Engineering to shape how Sentry scales its operational model as the company grows. In this role you will Lead a team of engineers building the internal control platforms that every engineering team at Sentry relies on to operate services safely. Drive the evolution of Infrastructure Engineering's platform, including configuration management, traffic routing and environment controls Own the team's technical direction, contributing to key decisions on API architecture, internal tooling design, and automation frameworks. Nurture and grow engineers at different levels, providing support through coaching, mentorship, and career development. Foster an inclusive, high-performing team culture focused on ownership, learning, and delivery. Partne

pythonkubernetesai
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2mo ago

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. About the role: Adyen is looking for a product and marketing leader with a strong track record in tech and B2B marketing to lead our product squad encompassing four product managers and one product designer. The Digital Experience Lead reports to the VP of Revenue Marketing. As Digital Experience Lead you own and manage the product lifecycle of our public website adyen.com (and its sub-domains like careers, investors and status) and our self-service demotool. You optimize our public website for demand generation, demand capture and engagement. You optimize the demotool for adoption and ease of use across internal teams, enabling internal users in various stages of the sales cycle. To deliver these experiences, you and your team work in deep collaboration with a dedicated engineering team. You will operate in a tight Agile environment, driving execution through structured sprints, planning sessions, and retrospectives. What you’ll do: Product vision and strategy. Own the global, long-term roadmap and strategy for all public web properties and demo capabilities, aligning product development with Adyen's commercial priorities. You define how these products develop in the zero-click era. Leading your team. Lead and manage a team of four product managers and one product designer. You set clear expectations, structured persona

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4mo ago

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI products so our customers can use deep data insights to improve their business. We are the Data Visualization team, a core part of the AI/BI organization. Our mission is to enable everyone in an organization to make intelligent business decisions informed by the best data available. We empower business teams via self-service analytics, helping them author high-quality visualizations and dashboards using our AI-first authoring experience. We own the visualization library, the dashboarding canvas, and the agentic authoring workflows that bridge the gap between complex data and actionable insights. We are seeking a dedicated Engineering Leader for our Data Visualization team in Bellevue. This team is responsible for the entire life cycle of visual insights: from the underlying visualization framework (using technologies like React and Vega-Lite) to building advanced features like field variables, drill-downs, and AI-driven chart generation. You will report directly to the Senior Manager of Engineering. The Role Lead a Talented Team: You will lead a high-performing engineering team in Bellevue focused on revolutionizing how users visualize data with AI/BI Dashboards. Talent Development: You will oversee the sustained recruitment of top-tier frontend and visualization talent and foster a culture of mentorship and professional growth. Strategic Execution: You will build processes to implement the AI/BI product vision, focusing on "BI Takeout" initiatives to replace legacy tools with superior Databricks-native experiences. Operational Excellence: You will ensure the visualization platform is not only feature-rich but also high-performing, reliable, and easy to operate. Technical Stewardship: You will m

reactaiExcel
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11mo ago

P-1107 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Customers trust Databricks with their most valuable data, and Trust & Safety has the mission to build the most trusted Data and AI platform in the world. Identity and Access Management (IAM) is at the heart of this mission, ensuring that the right users and services have the right access at the right time. We are looking for an Engineering Manager to lead our IAM team and define the strategy for how authentication, authorization, and identity services are built and scaled across our platform. You will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load. The impact you will have: Define and drive the strategy for IAM systems, including authentication and access control. Build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale. Provide technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance. Partner with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product. Ensure regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs. Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust. What we look for: 9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast paced, dynamic environment. Experience buildin

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