Design Engineers Jobs

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 Integrations & Application Engineering team owns the integration and automation platforms at Airbnb. We enable teams across the company to self-serve in connecting their systems and automating solutions, and we integrate Airbnb’s enterprise systems end-to-end. The team also builds and manages custom in-house solutions and the application infrastructure that supports them. This is a hybrid IC and people-leadership role focused on Finance integrations and automations. As a Tech Lead Manager, you will lead and grow a team of engineers while operating hands-on at a senior IC level, setting technical direction, owning delivery, and writing and reviewing code yourself. We’re looking for someone with deep ERP product knowledge who builds integrations in general-purpose languages, takes ownership of systems and people, and is enthusiastic about applying AI, building tools and integrations with Claude Code that extend what the team can do. A Typical Day Lead the Finance and ERP integration practice: set direction, run initiatives in parallel, and own the systems and processes your team supports. Balance management with hands-on work: unblock the team, review designs and code, and build complex integrations, backend services, APIs and MCPs yourself. Partner with Finance, Procurement, and cross-functional teams to translate requirements into integrations, automations, and reporting. Coach and grow engineers and contractors through design reviews, architecture discussions, and career development. Own the smooth operation of month-end financial integrations and reporting, proactively surf

The MongoDB Atlas team is a diverse group of contributors working together to help our users manage MongoDB at global scale. We are responsible for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. We're seeking a Senior Engineer to join the Atlas Identity and Access Management (IAM) team. IAM is a platform and a product team. We serve internal engineers by providing them a secure and durable suite of services, and we serve external customers by providing them user facing features and products. We are the owners of Atlas’ authentication (OAuth, SSO, Federated Identity) and authorization (RBAC, ABAC) systems, along with many others. The IAM team’s mission is to enable customers to securely build their applications with Atlas through our best in class user experience. We are looking to speak to candidates who are based in New York City, NY for our hybrid working model. Role Responsibilities Design, architect, build, and deliver core pieces of IAM Lead projects from specification to delivery Mentor and grow other team members Improve our codebase, best practices, and design principles Define your top priorities and focuses, communicate them, and execute against them Lead and contribute to complex technical projects and initiatives Candidate Profile 5+ years experience of software engineering, primarily focused on backend systems Proficient in a modern compiled programming language (Java, Go, C#, C++, etc.) Willingness to learn JavaScript and/or TypeScript along with modern frontend technologies (React, Redux, etc.); prior experience a plus Excellent communication skills, both written and verbal Desire to collaborate with colleagues and mentor fellow engineers Is curious, collaborative, empathetic, and intellectually honest Has a passion for problem solving and learning new things in the domains of computer science and software engineering Expe

Coder is looking for an experienced Senior Technical Program Manager to lead and shape our most complex, high-stakes engineering programs. You'll operate with a high degree of autonomy, setting the standard for program execution across the organization and acting as a trusted partner to senior engineering and product leadership. The role sits at the intersection of strategy and execution: you'll own the definition, cross-functional planning, and delivery of initiatives that span multiple teams and systems, and give leadership the visibility they need to steer. What you'll do here Own engineering programs end to end, from definition through delivery and iteration, across teams that don't report to one another Own scope, milestones, timelines, dependencies, and risk, driving trade-offs to a written decision and holding accountability for delivery Work hands-on with engineers and product managers, close enough to the work to influence architectural and interface decisions Serve as the central coordination point across engineering, product, design, security, and go-to-market Run the operating cadence and deliver crisp updates on program health, risks, and trade-offs to technical, executive, and customer stakeholders Improve engineering productivity through better tooling and light-weight process, including AI-native tooling and our own product What we're looking for 7+ years in technical program management, including complex multi-team programs where no single team owned the whole outcome Deep technical intuition—you can read a design doc, ask the question that exposes the unstated assumption, and argue sequencing with a staff engineer A track record of delivering at scale, including ownership of a dated external commitment such as a GA, a launch, or a regulated enterprise deadline Strong organizational influence; you set the agenda with minimal oversight and move teams that don't report to you, without being slowed down by ambiguity or competing priorities Excellent ve

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. To fulfill Lyft’s mission of creating the real-time transportation network of the future, Lyft needs engineers from a scope of disciplines. We need engineers to help us intelligently scale our backend infrastructure, to increase pricing in real time given localized supply and demand data, to predict future localized demand, to create delightful and intuitive UX flows for passengers and drivers, to improve our cloud infrastructure orchestration and monitoring, to increase dispatched driver-passenger pairings based on real-time data and real-world edge cases, to build tools to increase the efficiency of our customer service team, and more. You're an enthusiastic and experienced app developer looking to take your skills to the next level by joining our iOS team. You’re excited about scaling millions of lines of Swift code and hundreds of mobile developers. Our app is used by millions of people, and we take great pride in our work. This means excellent development practices, careful code architecture, and an organization built around rapid releases. Our codebase is written entirely in Swift with modern design patterns and coding standards. We rely on 3rd party libraries and contribute back to the community (including the Swift language itself). Responsibilities Help establish roadmap and architecture based on technology and our 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 Performing thoughtful code reviews for colleagues, and help others by conducting high-quality code reviews Participate in hiring activities: take part in technical interviews, live coding, share detailed feedback to hir

The Developer Experience (DX) team at Amplitude builds and maintains the foundations that power how developers integrate, extend, and trust Amplitude across platforms. Our mission is to make Amplitude’s SDKs reliable, easy to adopt, and a joy to build on, so customers can confidently instrument their products and unlock insights at scale. We’re looking for a Staff Software Engineer, iOS to play a key technical leadership role on our DevEx team. In this role, you will lead the design and development of Amplitude’s core iOS SDKs, including Analytics and Session Replay , and serve as the iOS platform expert that other SDK teams, such as Statsig, Guides, and Surveys rely on. As a Staff Engineer, you’ll operate with a wide scope and high impact: setting technical direction for the iOS platform, driving cross-SDK architecture, improving performance and reliability, and raising the bar for developer experience across Amplitude’s mobile ecosystem. As a Staff Software Engineer, you will: Lead the technical direction, architecture, and long-term evolution of Amplitude’s iOS SDK platform. Own and drive development of core iOS SDKs, including Analytics and Session Replay, with a strong focus on performance, reliability, and ease of use. Act as the iOS platform expert and trusted partner for other SDK teams (Experiment, Guides, Surveys), enabling them to build on shared foundations safely and efficiently. Design and evolve shared infrastructure, APIs, and abstractions that scale across multiple iOS SDKs. Collaborate closely with Product, and Customer Support to ensure SDKs meet real customer needs. Lead cross-team technical discussions, reviews, and architectural decisions that span multiple SDKs. Improve developer experience through better APIs, documentation, tooling, testing strategies, and sample apps. Mentor senior and mid-level engineers, raising the overall quality and effectiveness of the team. You'll be a great addition to the team if you have: A strong focus on develop

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Machine Learning Engineer on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! As a Machine Learning Engineer (Applied ML), you will: Plan and execute large-group projects that carry through from ideation to production. Bring cross-functional alignment across engineering, product and other disciplines. Mentor a distributed team of engineers in subject matter expertise. Identify opportunities and gaps in existing models and strategize what to work on. Work closely with product teams to develop solutions. Engage in collaborations with our partner organizations. Assist our legal teams with preparation of patents on developed IP. Join us at a pivotal moment, shape what we build and wear multiple hats! You may be a good fit if y

Technical Services operates with a global footprint, maintaining a presence in key cities such as New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. Our commitment to exceptional customer satisfaction is underpinned by a 24x7x365 'follow-the-sun' support strategy, executed by dedicated regional teams across the Americas, EMEA, and APAC. We are seeking a visionary leader to join the MongoDB Technical Services organization to oversee regional teams of MongoDB Premium Services Support Engineers. These specialists possess deep expertise in resolving challenges related to core database functionality and troubleshooting complex cloud environments to facilitate high-scale customer success. For this hybrid role, we are specifically interested in meeting candidates located in Palo Alto, CA or San Francisco, CA. Core Responsibilities of the Team Diagnosing and resolving performance issues: Identifying, troubleshooting, and fixing performance-related bottlenecks Advising on design and architecture: Providing technical guidance on architectural design, including replication and global data distribution, to ensure low latency, high availability, and compliance with data sovereignty requirements Serving as a customer advocate: Advising on upcoming roadmap features and articulating strong business cases to drive the swift resolution of critical issues Engaging in global collaboration: Partnering with regional peer teams and sharing account context to anticipate client needs before an event, ensuring a seamless and elevated level of global service Fostering a culture of continuous learning: Growing technical skills through training participation, maintaining industry awareness, and developing specialized internal training to share subject matter expertise more broadly across the team Enhancing case-deflection strategies: Increasing case-deflection numbers by regularly contributing to the knowledge base, distributing te

About the Team ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. We develop the systems and tools that make it possible to introduce new models, manage production deployments, respond to operational issues, and use infrastructure effectively at scale. Our work spans distributed systems, platform engineering, infrastructure automation, and developer experience. We partner closely with research, infrastructure, and product teams to make model deployment more reliable, more efficient, and easier to manage. About the Role We are looking for a software engineer with experience building or operating large-scale production systems. You will design and develop systems that support the model lifecycle in production, including deployment orchestration, configuration management, operational automation, reliability, and capacity management. You will help transform complex operational processes into scalable platform capabilities that enable teams across OpenAI to deploy and manage models with greater confidence and less manual effort. This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale. In This Role, You Will Build and evolve the platform used to deploy, configure, and manage models across ChatGPT. Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness. Create abstractions and tooling that simplify complex infrastructure and improve the developer experience. Automate operational workflows, including incident detection, diagnosis, mitigation, and recovery. Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them. Build systems that support capacity planning, resource allocation, and infrastructure utilization. Partner with research, infrastructure, and product engineering teams to identify common chal

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. What You'll Own As our Social Media & Founder Brand Manager, you'll sit at the intersection of content, brand, and experimentation. You'll shape how the world sees Ema and its founders — building a distinctive, high-reach presence across LinkedIn, X, YouTube, and beyond, in the fastest-moving category in tech: agentic AI. Social Media & Content Creation Scale Ema's LinkedIn from 130K → 200K+ with bold, creative storytelling and a strong lens on ICP Maintain a consistent 4-week rolling calendar across social media, blogs, and newsletter channels — while staying nimble enough for moment marketing: hopping on relevant tech trends and conversations in real time, especially for the founders Create compelling video content for both Ema and the founders — from short-form clips and talking-head videos to event and product moments — built natively for each platform Work with design to repurpose existing content — whitepapers, blogs, interviews, videos — into carousels, short videos, threads, and newsletters to achieve consistency + repetition as a brand Continuously experiment with and improve existing channels, and identify the right new distribution channels and formats to scale E

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team Mixpanel's Customer Engineering team is a cross-functional group of highly technical problem solvers focused on driving customer outcomes across the full commercial lifecycle. Customer Engineers are the technical face of Mixpanel in the field — connecting prospect business problems to Mixpanel's technical capabilities, running sharp evaluations, and ensuring every customer who signs has a clear, fast path to value. The team works in close partnership with Account Executives on new business and expansion, and hands off to Delivery Engineers to own technical activation post-sale. About the Role The Customer Engineer owns the pre-sales technical journey — from discovery and technical fit assessment through competitive positioning, demo, and POC. You establish whether Mixpanel is the right technical fit before committing to a proof of concept, and when you do run one, you design it to be immediately actionable by the Delivery Engineer: focus metric defined, data validated, success criteria agreed upon. You also return post-sale for cross-sell and strategic expansion that requires a new technical evaluation. A great CE shows up researched, thinks in outcomes, leaves every interaction with more clarity than they walked in with, and treats handoff quality as a first-class output. Responsibilities Lead technical discovery, establishing the prospect's business challenges, technical environment, and qualification before committing to a POC. Design and deliver tailored, research-backed demos that connect Mixpanel's capabilities to the prospect's specific business outcomes. Establish technical fit — c

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team Mixpanel's Customer Engineering team is a cross-functional group of highly technical problem solvers focused on driving customer outcomes across the full commercial lifecycle. Customer Engineers are the technical face of Mixpanel in the field — connecting prospect business problems to Mixpanel's technical capabilities, running sharp evaluations, and ensuring every customer who signs has a clear, fast path to value. The team works in close partnership with Account Executives on new business and expansion, and hands off to Delivery Engineers to own technical activation post-sale. About the Role The Customer Engineer owns the pre-sales technical journey — from discovery and technical fit assessment through competitive positioning, demo, and POC. You establish whether Mixpanel is the right technical fit before committing to a proof of concept, and when you do run one, you design it to be immediately actionable by the Delivery Engineer: focus metric defined, data validated, success criteria agreed upon. You also return post-sale for cross-sell and strategic expansion that requires a new technical evaluation. A great CE shows up researched, thinks in outcomes, leaves every interaction with more clarity than they walked in with, and treats handoff quality as a first-class output. Responsibilities Lead technical discovery, establishing the prospect's business challenges, technical environment, and qualification before committing to a POC. Design and deliver tailored, research-backed demos that connect Mixpanel's capabilities to the prospect's specific business outcomes. Establish technical fit — c

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team Mixpanel's Customer Engineering team is a cross-functional group of highly technical problem solvers focused on driving customer outcomes across the full commercial lifecycle. Customer Engineers are the technical face of Mixpanel in the field — connecting prospect business problems to Mixpanel's technical capabilities, running sharp evaluations, and ensuring every customer who signs has a clear, fast path to value. The team works in close partnership with Account Executives on new business and expansion, and hands off to Delivery Engineers to own technical activation post-sale. About the Role The Customer Engineer owns the pre-sales technical journey — from discovery and technical fit assessment through competitive positioning, demo, and POC. You establish whether Mixpanel is the right technical fit before committing to a proof of concept, and when you do run one, you design it to be immediately actionable by the Delivery Engineer: focus metric defined, data validated, success criteria agreed upon. You also return post-sale for cross-sell and strategic expansion that requires a new technical evaluation. A great CE shows up researched, thinks in outcomes, leaves every interaction with more clarity than they walked in with, and treats handoff quality as a first-class output. Responsibilities Lead technical discovery, establishing the prospect's business challenges, technical environment, and qualification before committing to a POC. Design and deliver tailored, research-backed demos that connect Mixpanel's capabilities to the prospect's specific business outcomes. Establish technical fit — c

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 to ship AI products. THE ROLE: Are you the person on your team who builds the agent everyone else ends up using? We're looking for an AI Engineer to join our Training Product team and do that at Baseten. You'll build AI-driven product features for the customers training and post-training frontier models on our platform, and you'll raise the ceiling on how Baseten itself uses AI internally, turning manual workflows into agentic ones that make every other team faster. You'll work directly with our research engineers to scope and build products, taking ideas from a research loop that already works internally to something customers can run themselves. This is a hands-on role with real autonomy. You'll pick the problems worth solving, build the harnesses, execution flows, and guardrails that make AI systems reliable, and own the results. If you've been shipping agents and want that to be the job, let's talk. EXAMPLE INITIATIVES: Take a look at these blog posts written by members of our team: Baseten Training: an autoresearch substrate Introducing Baseten Loops Harnesses are everything. Here's how to optimize yours. Building with NVIDIA Nemotron 3 Ultra and LangChain Deep Agents Code on Baseten RESPONSIBILITIES: Build and ship agentic product experiences, including chat-style and assistant-like interfaces, from prototype to GA. Design the harnesses, execution flows, and guardrails that make AI systems reliable in production. Build internal autom

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 to ship AI products. THE ROLE Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them. Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled. Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem. Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself. Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships. Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve. Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourse

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Staff Software Engineer Opportunity Passkeys, powered by FIDO2 WebAuthn, are revolutionizing how people authenticate—bringing us into a passwordless future that’s more secure and seamless than ever before.At Okta, we’re on a mission to help enterprises and consumers embrace this transformation. We’re building cutting-edge phishing-resistant authenticators and passkey solutions that make security stronger while making life easier for users. Our products empower businesses to leave passwords behind and defend against modern threats with innovative, user-friendly technology. We are looking for a Staff Software Engineer to join the Passwordless team. As a Staff Engineer, you will be a technical leader, making large, independent contributions and shaping the future of how millions of users access technology securely. This is a role for an engineer who thrives on solving ambiguous problems and taking ownership of end-to-end solutions. You will not only execute on complex technical challenges but also influence the team's direction, mentor other engineers, and proactively identify opportunities to improve our products and processes. If you are passionate about building highly reliable, scalable systems and want to define the future of passwordless authentication, we’d love for you to join us. What you’ll be doing Partner closely with product, design, and other cross-functional stakeholders to own problem spaces and ensure we are building the right solutions fo