Design Manager Jobs

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 a Sr. AI GTM Engineer on Vanta's GTM Engineering team, you will design and ship internal AI products and processes that completely transform how our go-to-market teams operate and win. You'll embed with Sales, Customer Success, and Revenue Operations to build novel applications and platforms that accelerate pipeline generation, improve win rates, and scale how Vanta engages customers. You will also own end-to-end outcomes, move quickly from concept to production, and directly shape how customers experience Vanta in the field. This role is ideal for AI-pilled builders who want to be close to users, solve complex business problems with elegant technical solutions, and define entirely new categories of enterprise software. Vanta's GTM Engineering team operates as an internal incubator: applying AI at scale to revolutionize customer engagement. We build high-impact tools that reshape conversations, learn from every customer interaction, and demonstrate the value of our platform in real-world scenarios. This team sits at the intersection of engineering and GTM, shipping solutions that range from rapid prototypes to production-grade systems. What you'll do as a Senior AI GTM Engineer at Vanta: Ideate and build products that transform how Vanta generates new business, interfaces with prospects and customers, and grows existing customer relationships Own the full product lifecycle: prototype, iterate, ship, and maintain solutions that solve real-world customer and internal workflow problems Partner closely with Vanta’s CRO and executive leadership teams to architect and execute plans that bring Vanta to the forefront of GTM orgs lev

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

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. We are an ambitious AI hardware startup building next-generation accelerators with massive compute density. To achieve aggressive Power, Performance, and Area (PPA) targets on accelerated tapeout schedules, we require a robust, highly automated, and heavily optimized physical implementation and signoff flow. The Role As a Staff / Senior Staff CAD & Methodology Engineer, you will be the resident expert in Innovus and Tempus, responsible for developing, debugging, and continually accelerating our RTL-to-GDSII and timing signoff flows. You will work closely with Physical Design and STA leads to eliminate bottlenecks, automate manual tasks, and push the limits of EDA capabilities at advanced process nodes. Key Responsibilities Flow Architecture & Automation: Architect, develop, and maintain a highly automated, robust, and scalable physical design and signoff flow from synthesis through GDSII, optimized for AI accelerator architectures. Innovus Methodology: Drive advanced physical design methodologies in Cadence Innovus. Optimize recipes for floorplanning, placement, Clock Tree Synthesis (CTS), routing, and power grid implementation to squeeze out maximum PPA. Tempus Signoff Integration: Own the STA and timing signoff methodology using Cadence Tempus. Implement and optimize Distributed Multi-Scenario Analysis (DMSA), advanced OCV methodologies, and automat

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. Interested in changing the landscape of artificial intelligence workloads? Join our team where we are building next-generation, high-bandwidth memory products. In Micron's High Bandwidth Memory Architecture organization, we partner closely with customers to deliver memory solutions purpose-built for emerging AI systems and applications. As a Member of Technical Staff, SoC Power and Physical Architect in the Next-generation HBM Architecture Team, you will drive SoC-level specification 3D-stacked, high-performance memories. Apply your knowledge to analyze SoC trade-offs in close collaboration with peer architecture and design teams. Drive power architecture, physical planning, and early SoC design activities, including definition of IP interfaces (e.g., signals, power delivery), clocking, power sequencing, design-for-test, floorplanning, and specification development. Responsibilities: Define clocking architectures, power sequencing, power delivery, and on-die signal interfaces. Define and analyze on-die power delivery networks (PDN) and full-chip thermal implications, including power hot-spot identification and mitigation. Define DFT architectures (e.g., scan chain topology) and set verification requirements. Define SoC floorplans in collaboration with physical designers. Compose and maintain clear SoC physical documentation. Preferred Qualifications: Experie

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As the Facilities regional chemical engineer, you will be responsible for leading chemical system design for construction projects, providing technical support, expertise, and lead business process alignment on operational and maintenance programs for the facility chemical systems at all front and back end sites. As a global team member residing in your current site/geography, you will represent all regional facility O&M alignment initiatives. You will also lead the design for construction team and incorporate critical operational and maintenance into design for construction projects. You will work with central team on critical metrics, include eliminating production events that minimize lost moves and scrap. Responsibilities and tasks: Expert understanding of each sites bulk and specialty chemical systems operational and maintenance capabilities in order to provide critical support. Leading chemical system design for construction projects In addition to your global chemical engineering role you will also provide site/regional support for global facility initiatives at your location. Technically lead a global cross functional team focused on operational excellence with the site chemical systems engineers. Provide support to all sites includin

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. As a Global Quality (GQ) Package Reliability Process Engineer, your responsibility will be to establish new product package reliability requirements and process standardization. This includes ensuring board level reliability that emulates customer PCB design. As a process engineer, you will be responsible for ensuring process control during package reliability and establishing procedures for the operation team's execution. You will also be required to identify process improvements to ensure cost and productivity gains. You will need to coordinate with various functional parties to ensure that the reliability process complies with industrial standards such as JEDEC and not just Micron specifications. Additionally, you will be required to respond to inquiries from internal and external customers as a subject matter expert for package reliability activities.board-levelindustry standards, Responsibilities and Tasks Package Reliability Process Development To work with engineering team for enablement of new product (NPI) Ensure hardware readiness for package reliability process like Temperature Cycling, HAST, HTS and etc. Modify and improve reliability process for existing products Evaluate and Improve Processes, Materials, and/or Equipment Identify, investigate, and document process deviations. Troubleshoot process deviations using systematic troubleshooting techniques. Perform risk assessment at all deci

Backend Engineer (Senior Level) - SDE IV We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams. What You’ll Do Design and drive the long-term architecture of backend services for biometrics and ML model serving. Collaborate with core platform and backend teams on organization-wide architectural initiatives. Partner with business and engineering teams to design and deliver cross-cutting platform capabilities. Lead architectural reviews, mentor engineers, and promote engineering best practices. Build and maintain backend services for deploying and serving ML models Monitor service reliability, performance, and scalability in production Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes Support real-time and batch inference workflows Contribute to CI/CD pipelines and deployment automation What We’re Looking For Strong expertise in backend development using Java and working knowledge of Python. Experience mentoring engineers and driving architectural decisions. Working knowledge of Python, especially for ML-related workflows Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker) Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring Experience with observability tools (Datadog, New Relic, etc.) Experience with containers and orchestration (Docker, ECS, etc.) Understanding of how ML models are deployed and served in production Experience with Kubernetes Nice to Have Experience with MLOps or ML platform engineering. Experience with asynchronous programming and event-driven systems. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities :

About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most strategic collaborations in India. We work at the intersection of product, growth, and market expansion to build impactful relationships that accelerate adoption and unlock new use cases for OpenAI’s technologies. The team partners closely with product, engineering, research, marketing, finance, legal, and operations to design and deliver partnerships that scale OpenAI’s presence and relevance across diverse markets. Our focus is on establishing long-term strategic partners and driving sustainable growth through integrated, high-impact product experiences across consumer and B2B offerings in the region. About the Role As India Product Partnerships Lead, you will lead and scale strategic partnerships primarily in India. You will be responsible for initiating, structuring, and growing partnerships that expand OpenAI’s distribution, deepen user engagement, and accelerate product adoption across the region. This role requires strong commercial judgment, regional market fluency, and the ability to work closely with product teams to translate strategic opportunities into scalable partnership models. You will operate at both strategic and execution levels — shaping partnership strategy while driving concrete outcomes that contribute to OpenAI’s growth. This role is based in Mumbai. You’ll be responsible for: Initiating and scaling strategic partnerships in India that drive user growth, distribution, and adoption for OpenAI’s consumer and B2B offerings. Establishing and managing long-term strategic partners in India, serving as the primary relationship owner and strategic lead. Identifying and executing market-specific growth opportunities such as bundled offerings, embedded distribution, platform integrations, and co-developed product experiences. Shaping joint product strategy with partners by aligning roadmaps, defining shared priorities, and unlocking new use cases tai

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. Interested in changing the landscape of artificial intelligence workloads? Join our team where we are building next-generation, high-bandwidth memory products. In Micron's High Bandwidth Memory Architecture organization, we partner closely with customers to deliver memory solutions purpose-built for emerging AI systems and applications. As a Principal Layout Designer in the Next-generation HBM Architecture Team , you will drive layout for 3D-stacked, high-performance memories. Apply your knowledge to deliver high-quality layout designs across analog and/or mixed-signal domains in collaboration with peer architecture, design, and packaging teams. Implement layout designs for early architecture concepts to demonstrate feasibility and identify optimizations. Responsibilities: Design layouts for critical analog and mixed-signal blocks. Drive exploratory layout process for next-generation architectures, including floorplanning, placement, and routing. Integrate full chip designs and perform layout verification (LVS, DRC), quality checks, and documentation. Collaborate and communicate across domains, including signal integrity, architecture, design, and advanced packaging, to ensure successful architecture exploration. Minimum Qualifications: Hands-on layout experience with critical analog blocks and full designs. Experience with Cadence VLE/VXL and Mentor Graphics Calibre DR

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineeriIng teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteri

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workf

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workfl

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for an Applied AI Engineer, Cyber to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft AV brings the autonomous future to life by matching our community of riders with self-driving vehicles to meet their transportation needs today. The program is powered by a technical team innovating to build new features, experiment, and evolve approaches for emerging business needs. At the same time, we prioritize production quality because our customers put their trust in us for safety and reliability. As a Software Engineer for Autonomous Vehicles, you’ll be responsible for executing integrations with partners, making tradeoffs between technical investments and product work, and collaborating with other engineers on system design. You will help shape the product direction by developing a deep understanding of the customer and working closely with cross-functional partners from Product, Design, Science, and Operations. You will work with a group of talented engineers and help the team to deliver significant business impact while being open to change through constant experimentation in an ambiguous emerging product. If you enjoy collaborating with technical and nontechnical partners in a fast-moving space with real-world impact, this is the role for you. Responsibilities: Help establish roadmap and architecture based on technology and understanding of customer needs Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Can help lead large projects from idea to positive execution Unblock, support and communicate with internal partners to achieve results Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience Experience in distributed sy

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity The Global Enablement team at New Relic provides enablement needs analysis, learning programs design, delivery and coaching to drive successful sales and technical performance and reduce time to proficiency for all sales segments. The GTM Enablement Leader for EMEA is responsible for developing and implementing comprehensive enablement strategies, training programs, and tools that empower the EMEA GTM team to achieve their goals. You will build and execute programs in collaboration with key business stakeholders and will interact with senior levels across the organization in a fast paced, dynamic environment. What you’ll do • Collaborate with EMEA GTM Leadership: Work with go-to-market leadership and sales teams to pinpoint Sales Enablement needs and set success metrics, emphasizing operational rigor and value selling. • Lead Sales New Hire Training: Design and deliver Sales New Hire Training for EMEA to facilitate quick ramp-up to productivity. • Engage with Senior Leadership: Regularly discuss emerging strategic initiatives with senior leadership and create a training schedule that aligns with EMEA priorities, incorporating regional learning needs. • Develop Ongoing Enablement Programs: Partner with