Engineering Jobs

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As an intern at Affirm, you will be a contributing member of our outstanding engineering team, and as such you will work on meaningful projects and frequently ship code. Recent grads and past interns have built a real-time high-throughput data processing pipeline, developed an extensive automated testing framework, and built out our proprietary financial platform that is central to our long term company mission. We are excited to meet and consider strong students for our 12-16 week internships. We are a dynamic organization that is happy to tailor projects to your skills, and we will work with you throughout the interview process to determine which team will be best for you. What You'll Do I nterns are responsible for developing and shipping a project and verifying that it works in production. Because things are changing fast at Affirm, we do not specify intern projects in advance, instead you will collaborate with your mentor and manager when you start to spec a project that will best contribute to your team This role will ship code and monitor the deployment of your work. Our intern projects are not isolated or intended to be thrown away: your team will depend on your contributions! We pair interns with a dedicated mentor who will be by your side to give advice and ensure the success of your project. Expect to meet with them on a regular basis and receive feedback. There are opportunities to attend events with other interns and full-time Affirmers! Past events have included virtual cooking classes, executive fireside chats, cable car trolley tours, and Giants games. Interns present their work to the entire engineering organization at the end of the internship. What We Look For Passion and dedication to changing consumer banking for the better Experience with Python, C/C++ or

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

Our Customer Success team is committed to helping customers maximize the value of Asana as both a technology platform and a holistic approach to collaboration. From high touch to scalable success, our goal is to deepen the usage of the whole work graph, resulting in delivering unmatched value with scalability and consistency. We strive to help all of our customers, across countries, industries, and functions, get off on the right foot and continue to get the most value out of Asana over time. As a Digital & Scaled CS Program Manager, you will be a hands-on, technically adept owner of the build and execution layer of our Digital and Scaled CS program. Sitting at the intersection of Customer Success, Sales, Revenue Operations, Marketing, and Product Engineering, you will be the driving force behind turning digital CS strategy into working programs, maintained playbooks, enabled teams, and well-run vendor partnerships. Day to day, you will design and refine customer journeys, manage vendor relationships, and ensure every active program reflects both lifecycle best practices and real-world account reality. This role is based in our Chicago office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requireme nts. What you’ll achieve Digital Program Execution: Design, build, and refine campaigns and journey orchestrations in tools like Iterable, Outreach, Pocus, and Trig. Define lifecycle stages, trigger logic, and intervention sequencing while building and validating audiences in the CDP to ensure sound data quality before launch. Program Governance & Quality: Maintain program governance through weekly checks, reviewing active journeys, flagging anomalies, and ensur

We’re looking for a Senior Product Manager to lead AI Studio, Asana's AI workflow builder, in San Francisco. The Product Management team drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. In this role, you will own an end-to-end AI product that powers millions of workflows, enabling large enterprise organizations to build, govern, and deploy AI at scale across their organizations. You will join a dynamic cross-functional environment working directly with Engineering, Design, Experience Research, Data Science, and Go-To-Market teams to turn system-critical processes into reliable, automated work inside Asana's work graph. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Own the product vision and prioritized roadmap for AI Studio end to end, tying every investment directly to customer impact, business outcomes, and Asana's mission. Drive direct business outcomes for a consumption-based AI product: own reporting, forecasting, and ROI, and define the metrics that connect product usage to revenue on a consumption billing model. Scale AI Studio to reliably support millions of workflows, ensuring the quality, performance, and dependability enterprises require for system-critical processes. Ship automation capabilities that enable enterprise teams to deploy AI across their organizations, ranging from single-team workflows to processes spanning thousands of users. Build for enterprise trust by shaping AI governance, admin contr

About the role We are looking for a Sr. Full Stack Application Security Engineer with deep expertise in mobile application security to join our Product Security team. This role is hands-on and impact driven. You will work directly with mobile, backend, and platform engineering teams to identify, prevent, and remediate security issues across our iOS, Android, API, and backend systems. You will operate close to the code and close to the product. That means reviewing architectures across the stack, influencing secure design decisions early, and helping teams ship features safely without slowing delivery. This role is for someone who understands how modern distributed systems and mobile apps are built, deployed, and attacked in real-world environments. While mobile application security is a core focus, you will be part of a team that owns security posture across the full application stack including APIs, backend services, identity and authentication flows, and CI/CD pipelines. In this role, you can expect to Build and improve security capabilities, automation, and guardrails for mobile applications and backend/API services Perform application or API/backend penetration testing Identify, triage, and help remediate vulnerabilities across Chime products Partner closely with engineering and product teams to embed security into the development lifecycle across mobile apps, APIs, and backend services Perform architecture and code reviews across the stack (iOS/Android, APIs, backend) with a focus on secure data storage, authentication, authorization, secure communication, and session/token handling Leverage AI to accelerate security workflows (e.g., code review support, triage, threat modeling), and partner with teams building AI-enabled features to define and implement production-grade AI security controls To thrive in this role, you have 5+ years of experience in application security, with strong hands-on experience across both mobile and backend systems Ha

Who We Are: At Bandwidth , we shape how the world connects. We're the global communications software company and Tier 1 network operator with global reach. The voice, messaging, and emergency services infrastructure behind the brands and apps you use every day. Because we own the network we build on, the problems you'll solve here are bigger, more complex, and more impactful. And as communications shifts to AI, we're the infrastructure layer making it possible. We call ourselves BANDmates because building something this big takes collaboration, different perspectives, and the freedom to bring your authentic self to the table. We're experts who speak like humans. Ready to build what's next? #JoinTheBand What We Are Looking For: As a Software Engineer on our Billing Engineering team, you’ll get to build and expand on our company’s billing infrastructure. The team enables Bandwidth to charge our customers for all of the global communication services we offer at a large and growing scale. We’re looking for people who get excited about building highly performant and maintainable services and infrastructure. What You'll Do: Design, implement, and operate flexible and accurate financial systems that support our global communication services. Work closely with product managers, engineers, and other stakeholders to define and deliver solutions that meet customer needs. Identify and resolve bottlenecks and inefficiencies in billing processes, ensuring high availability and scalability. Participate in code reviews, design discussions, and architecture decisions to uphold high-quality software development practices. Provide guidance and support to less experienced team members, fostering a culture of continuous learning and improvement. What You Need: 5+ years of engineering experience building and maintaining large-scale distributed systems. Experience with Java, SQL, and large datasets; familiarity with AWS or other cloud providers. Ability to analyze complex issues and

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 Specialist Solutions Architects (SSA) are domain experts aligned to specific Stripe solutions and customer buying centers. We have in-depth knowledge of specific solution offerings and a deep understanding of customer challenges. We align with specialist product sellers on deals, advise the broader pre-sales team on complex opportunities, support pipeline development and revenue attainment, serve as an advisor on go-to-market sales plays, and provide critical insights to our product and engineering teams. What You'll Do You will collaborate closely with sales and pre-sales teams to drive pipeline and revenue targets, while also educating the product and engineering teams on market trends and strongly influencing the product roadmap You will develop deep relationships with senior customer business leaders and grow Stripe's solution offerings with new and existing customers As a subject matter expert, you will scale the broader organization by creating reusable assets and coaching others on complex, high-value opportunities As a Specialist Solutions Architect for Crypto and Stablecoins, you will lead in-depth product discussions with Stripe's top users and prospects and execute against our go-to-market strategy for Stripe's crypto and stablecoin products, including Bridge and Privy You will serve as a trusted advisor for business and technical stakeholders—CTOs, CFOs, Heads of Digital Assets, and Treasury teams—helping them understand how stab

Curious Minds. Bold Ideas. Extraordinary Impact . We're transforming financial services through bold innovation and relentless execution. You bring the ideas and drive. We'll build what's next — together. nCino is looking for a Product Manager to help shape the future of consumer and small business loan origination within our Global Banking Solutions product suite. You will own a portfolio of existing features, partnering directly with customers and cross functional stakeholders to understand what is working, what is not, and where the next opportunity lies. You will dig into voice of customer research, market data, and usage analytics to inform what gets built next, translate that insight into well scoped initiatives and epics, and work closely with engineering and design to bring those ideas to life. Once features ship, you will stay close to them, tracking adoption and customer sentiment to decide where to double down and where to rethink the approach. This is a role with real range. You will shadow customer engagements to build firsthand exposure, use AI and machine learning tools to surface patterns and opportunities in how customers behave, and develop a depth of product knowledge that lets you speak confidently about how your features perform in the real world and how they connect to the broader customer experience. The ideal candidate brings a couple years of experience in product or a related technical field, strong communication skills, and comfort working in an agile environment. Knowledge of commercial, small business, or consumer banking is a plus, as is experience with loan origination technology. Essential Functions Validate - Research, collate VOC, aggregate market data, mine usage analytics and present the results to Sr. PMs, designers, etc. for decisions on what to build next. Shadow customer engagements for exposure and experience Plan - Draft Initiatives and Epics for handoff to Sr. PM (who will work with design and architecture), including

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for an experienced Technical Program Manager to build and run the program operating system for Figma's growing Internal AI Tooling portfolio. Reporting into the CIO PMO and embedded within the team driving this work, you'll partner closely with Product and Engineering leaders to translate an emerging roadmap into coordinated, secure, and scalable capabilities used across Figma — bringing together Engineering, Security, Legal, Procurement, Data Engineering, Business Systems, IT, Enablement, and business teams. You'll create clarity across this system by establishing lightweight planning and governance, aligning teams around shared milestones and decisions, and ensuring initiatives move from intake through release and operational handoff with clear ownership and measurable outcomes — shaping not only what gets delivered, but also how Figma evaluates, builds, releases, and operates internal AI capabilities as the portfolio grows. The ideal candidate can bring structure to an ambiguous, fast-moving environment without introducing unnecessary process, and can lead complex work through influence rather than direct authority. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Translate the Product Manager's roadmap and prioritized outcomes into integrated program plans, milestones, release schedules, decision points, and clear ownership Manage execution of the Internal AI Tooling roadmap across technical teams

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Senior Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you’ll be doing: Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals. Stay current with the latest developments in Machine learning. Execute high-impact projects to ensure team success. Work collaboratively across departments and mentor team members (where appropriate). Who we are looking for: Demonstrated experience in collaboratively pursuing ambitious R&D agendas. Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards. Understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices. - Experience in distributed training techniques. - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). With preferred backgrounds covering some of the following: - Publications in top-tier conferences. - Contributions to popular open-source repositories. - Technical writing skills as evidenced by relevant publications or blogs. We en

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Senior Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you’ll be doing: Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals. Stay current with the latest developments in Machine learning. Execute high-impact projects to ensure team success. Work collaboratively across departments and mentor team members (where appropriate). Who we are looking for: Demonstrated experience in collaboratively pursuing ambitious R&D agendas. Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards. Understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices. - Experience in distributed training techniques. - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding). With preferred backgrounds covering some of the following: - Publications in top-tier conferences. - Contributions to popular open-source repositories. - Technical writing skills as evidenced by relevant publications or blogs. We en

We are hiring a Machine Learning Team Lead to lead a team of driven ML engineers working on translating cutting-edge research into ambitious, customer-centric speech solutions. As innovators in speech technology, our mission is to Understand Every Voice — a vision that has propelled us to be world leaders of Speech AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Team Lead to accelerate our efforts towards exceptional speech solutions. Our Modelling Team builds and trains a broad spectrum of models, including large self-supervised architectures, advancing Speechmatics’ mission to provide the most accurate speech recognition technology worldwide. It also ensures their deployment into production, working with the latest developments in ML, but also with the best practices for software engineering and model serving. What you’ll be doing: Lead, mentor, and grow a world-class team of ML engineers through coaching and professional development Provide technical oversight and guidance for end-to-end ML development, ensuring solutions are robust and scalable Guide the adoption of best practices in software engineering Plan work, allocate resources and collaborate cross-functionally to align initiatives with business objectives and bring solutions to production Drive the technical work for the ML team to deliver high-quality technical solutions that achieve ambitious strategic goals Who we are looking for: Demonstrable experience in guiding and mentoring ML engineers Adept at prioritizing work by impact, feasibility, and time-to-value, with clear success metrics Strong understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures, related concepts (e.g., GQA , KV -caching) and best practices - Expertise in distributed training techniques - Familiarity with optimisation strategies for m

We are hiring a Machine Learning Team Lead to lead a team of driven ML engineers working on translating cutting-edge research into ambitious, customer-centric speech solutions. As innovators in speech technology, our mission is to Understand Every Voice — a vision that has propelled us to be world leaders of Speech AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Team Lead to accelerate our efforts towards exceptional speech solutions. Our Modelling Team builds and trains a broad spectrum of models, including large self-supervised architectures, advancing Speechmatics’ mission to provide the most accurate speech recognition technology worldwide. It also ensures their deployment into production, working with the latest developments in ML, but also with the best practices for software engineering and model serving. What you’ll be doing: Lead, mentor, and grow a world-class team of ML engineers through coaching and professional development Provide technical oversight and guidance for end-to-end ML development, ensuring solutions are robust and scalable Guide the adoption of best practices in software engineering Plan work, allocate resources and collaborate cross-functionally to align initiatives with business objectives and bring solutions to production Drive the technical work for the ML team to deliver high-quality technical solutions that achieve ambitious strategic goals Who we are looking for: Demonstrable experience in guiding and mentoring ML engineers Adept at prioritizing work by impact, feasibility, and time-to-value, with clear success metrics Strong understanding of the modern Machine Learning stack, for example: - Knowledge of contemporary transformer architectures, related concepts (e.g., GQA , KV -caching) and best practices - Expertise in distributed training techniques - Familiarity with optimisation strategies for m

Description Dawn Aerospace is looking for a System Design Engineer to lead the system-level development of custom spacecraft propulsion systems. In this role, you will be responsible for the full development lifecycle, from requirements definition and concept development through detailed design, integration, testing, and delivery. The role involves close collaboration with customers, project managers, and multidisciplinary engineering teams. Key Responsibilities Act as the technical lead for the entire development cycle of a custom propulsion system Define and manage system-level requirements and establish their verification methods Define the technical budgets for the propulsion system Define the propulsion system architecture Develop the detailed design of the propulsion system Support AIT activities during propulsion system integration and testing Serve as the technical point of contact for the customer Work closely with project management and subsystem experts Required Experience: A degree in aerospace, mechanical, or system engineering, or a closely related technical discipline At least three years of experience in the design and development of spacecraft systems or comparable hardware Experience in customer engagement Demonstrated ability to work within multidisciplinary engineering teams Proficiency in computer-aided design; experience with SolidWorks is preferred Experience using MATLAB, Python, or comparable tools for engineering analysis, modelling, data processing, or workflow automation Desired Experience Experience with chemical or electric spacecraft propulsion systems Hands-on experience with aerospace hardware assembly, integration, and testing Working knowledge of ECSS, NASA, or comparable industry standards Experience collaborating across geographically distributed engineering teams Experience delivering flight hardware through rapid development cycles Note that the role is a permanent position that will start with a fixed-term contract of 12 month

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. We are a high-impact team driving Micron’s investment strategy and AI initiatives at the intersection of technology, venture capital, and the semiconductor ecosystem. We partner closely with business and engineering leaders to identify emerging opportunities, shape strategy, and translate innovation into real outcomes. If you’re excited about influencing where AI and infrastructure are headed, this is a seat at the table! This role sits at the core of our venture and AI strategy efforts. You will source and evaluate investments, guide strategic initiatives, and connect insights from the AI ecosystem to executive decision-making. It is both analytical and highly collaborative, requiring strong judgment, technical fluency, and the ability to influence senior stakeholders. Responsibilities: Source and evaluate venture investments across Seed, Series A, and Series B, owning deal flow through diligence and execution Drive alignment and execution of AI/ML initiatives across the company, including Generative AI and physical AI Maintain relationships with portfolio companies and ensure alignment with Micron’s investment strategy Develop executive-level briefings and recommendations for leadership, the Board, and the Investment Committee Mentor team members and partner cross-functionally with business and technology stakeholders Minimum Qualifications: Master’s degree in Computer Science, Electrical/Computer Engineering, Mathematics, Ph