About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their customers use every day. You’ll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products: complex systems, real users, and high expectations for quality and performance. Lessons from these deployments inform OpenAI’s product and research teams. About the role 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 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: Deeply embed with our most sophisticated and technical platform customers, serving a
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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 Technical Support Engineer (TSE), you’ll play a critical role in supporting our customers by resolving their most complex technical issues and serving as the final technical escalation point for our Technical Support Specialists (TSS). You’ll collaborate closely with our Support and Engineering teams to ensure we deliver a best-in-class customer experience while meeting our service SLAs. Our goal is to provide best-in-class Technical Support to our customers. Our team’s mission: “We make complex solutions seem simple, and are leaders in customer education”. We build strong partnerships with our customers through trust and transparency, for this reason our Technical Support Metrics are available publicly. What you’ll do as a Technical Support Engineer at Vanta: Provide technical support to Vanta customers through email, screen sharing, and chat, responding within established SLAs. Develop a deep understanding of Vanta’s product capabilities, integrations, configurations, messaging, and more. Own and resolve complex technical customers’ issues, while also partnering with Technical Support Specialists (TSS) on their most challenging cases as the final technical escalation point within the Support team. Demonstrate a strong sense of ownership and accountability for the overall customer experience. Clearly explain complex solutions to customers and document them for future use. Problem-solve and troubleshoot in a repeatable manner, documenting in our Support CRM to help identify trends. Create reproducible test cases and collaborate with Product and Engineering to improve the platform. Validate and escalate bugs to Engineering,
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 We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully fluent in English (spoken and written). Please note that your resume must be submitted in English , and the interview process will be cond
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 We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English , and the interv
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Specialist Sales Engineer in Canada . This is a remote role, reporting to the Senior Manager of Solutions Consulting in the Zero Trust Branch department. The Speciality Sales team is a global group of professionals who are passionate about delighting our customers, nurturing trusted partnerships, and sharing their expertise to drive a secure, cloud-enabled digital future and further cement our position as the world leader in cloud security. Sales, Customer Success, Sales Enablement, Solution Architects, Business Development, Transformation, and Technology Partnerships all work together to demonstrate the power and agility of Zscaler cloud transformation to the world, and we are looking for your expertise to elevate our Exposure Management team. What you’ll do (Role Expectations) Create and deliver technical product presentations to prospective customers Gather customer technical requirements
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is transforming the grocery industry by helping people access the food they love while enabling retailers, brands, and shoppers to succeed. The Pick & Deliver organization builds the technology that powers critical in-store and delivery operations across the Instacart marketplace. We are seeking an Android Engineer to serve as a technical lead within the Pick & Deliver organization. You will help shape and deliver high-visibility mobile experiences that support retailers throughout the process of picking customer orders, directly influencing the speed, quality, and reliability of the end-user experience. This role offers the opportunity to work on complex, high-impact challenges across multiple retailer priorities, new picking models, market expansion, and platform-scale investments. You will partner closely with Product, Design, Backend
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart is transforming the grocery industry by helping people access the food they love while enabling retailers, brands, and shoppers to succeed. The Pick & Deliver organization builds the technology that powers critical in-store and delivery operations across the Instacart marketplace. We are seeking an Android Engineer to serve as a technical lead within the Pick & Deliver organization. You will help shape and deliver high-visibility mobile experiences that support retailers throughout the process of picking customer orders, directly influencing the speed, quality, and reliability of the end-user experience. This role offers the opportunity to work on complex, high-impact challenges across multiple retailer priorities, new picking models, market expansion, and platform-scale investments. You will partner closely with Product, Design, Backend
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 Field Service Engineer will supervise the onsite installation of the KARNO™ Power Module at customer sites, and lead the commissioning, maintenance, troubleshooting, and on-site customer support for the successful deployment of the KARNO Power Modules. This position is part of Hyliion's field service organization, which supports KARNO installations across the United States. Current deployments are primarily in defense and data center applications. The position begins with a training period of approximately three to four months in Milford, OH, working alongside the research, development, and engineering teams as KARNO units are built and serviced during final testing, including training on heat engine fundamentals, PLCs, HMIs, and advanced control systems. The position then transitions to field installation, commissioning, and long-term on-site support at customer locations, initially across the West Coast and expanding to other regions as the installed base grows. 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 Provide on-site maintenance, troubleshooting, and break-fix support for deployed KARNO units, with remote support from the engineering team. Diagnose issues using remote monitoring systems and troubleshooting logs. Troubleshoot controls, instrumentation, and high-voltage electrical system issues. Supervise installation work at customer sites and provide the required technical support. Serve a
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. Position Description Okta is an enterprise-grade identity management platform, built from the ground up in the cloud and delivered with an unwavering focus on customer success. With Okta, organizations can manage access across any application, person, or device. Whether the people are employees, partners, or customers or the applications are in the cloud, on-premises, or on a mobile device, Okta helps organizations become more secure, make people more productive, and maintain compliance. The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built-in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on-premises applications, directories, and identity management systems. We are looking for an experienced Senior Backend Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with a focus on enhancing, scaling, and managing backend services for importing, syncing, and provisioning identities and access policies (users, groups, roles, entitlements, etc.). These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product. The ideal candidate has strong hands-on knowledge in Java who is deeply technical, passionate about building high-quality, secure, and performant backend applications and microservices, and capable of driving technica
Bready* to make a change? Toast is a rapidly growing company that's revolutionizing how the restaurant industry does business by pairing technology with an extraordinary commitment to customer success. We help restaurants streamline operations, increase revenue, and deliver amazing guest experiences through our platform that combines restaurant point of sale, team management, guest-facing technology, and award-winning customer support. Join us as we empower the restaurant community to delight guests, do what they love, and thrive. We're looking for a Senior Software Engineer to help build and scale the platforms that calculate and deliver pay to restaurant employees, from tip pooling and redistribution to wage calculation, earnings retrieval, and payroll delivery. You'll lead highly visible, mission-critical infrastructure that determines what employees take home, and that powers products restaurant teams rely on every day. About this roll* (Responsibilities) Drive the evolution of our tips and earnings platforms, leading complex projects that improve functionality and reliability for our customers. Take end-to-end ownership of systems, contributing to a strong engineering culture focused on correctness, reliability, and long-term maintainability. Lead projects from design and estimation through implementation, testing, and deployment to help shape how we build reliable systems at scale. Ship code that directly impacts product revenue and the accuracy of what restaurant employees are paid. Partner with product and design to influence what we build and how we build it. Contribute to and elevate team standards through thoughtful code reviews and technical discussions. Mentor and provide technical guidance to other team members. Leverage AI tools like Claude to accelerate development and pioneer better ways to work. Do you have the right ingredients*? (Requirements) 5+ years of back-end experience with one or more object-oriented programming languages (such as Java, Ko
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 Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilitie
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Technical Services Engineer (DSE) for Portworx® by Everpure™, you will be the dedicated technical champion for our most strategic, high-value accounts. You will provide a "white-glove" support experience, moving beyond reactive troubleshooting to become a proactive extension of your customers' engineering teams. By mastering the Everpure™ Platform, you will ensure the stability of large-scale Kubernetes deployments across hybrid clouds, bridging the gap between customer success and internal R&D. Your mission is to foster deep technical trust, ensuring that our key partners maximize the reliability and performance of their mission-critical data services. WHAT YOU'LL DO Drive Strategic Customer Success: Serve as the primary technical point of contact for designated accounts, providing proactive monitoring and high-touch engagement to prevent issues before they impact production. Lead Complex Incident Resolution: Take end-to-end ownership of critical incidents in large-scale deployments, performing deep-dive analysis across the full software stack to ensure rapid restoration of services. Accelerate Engineering Innovation: Collaborate directly with escalation and development teams to reproduce complex bugs and analyze system logs, ensuring customer feedback directly influences product reliability and usability. Guide Deployment Lifecycle: Partner with customers through every phase—from pre-sales POCs a
Senior Platform Engineer AI Engineering | Forward Deployed Engineering Role Description Defense Unicorns is seeking a senior AI Agentic Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on designing, integrating, and operationalizing AI agents and agentic workflows within a secure enterprise environment. The engineer will work across large language models, agent frameworks, enterprise data, APIs, developer tooling, and platform services to turn AI capabilities into reliable, mission-relevant workflows. The ideal candidate is a hands-on engineer who understands both the capabilities and limitations of modern AI systems and can rapidly translate emerging technologies into working solutions. They should be comfortable experimenting with new models and agent frameworks, integrating agents with enterprise systems and tools, evaluating performance and reliability, and working alongside platform engineers and commercial technology partners. This is not a research-only role. The focus is on moving from AI concepts and prototypes to secure, useful, repeatable agentic capabilities that can operate in production environments. Responsibilities Design, build, and integrate AI agents and multi-agent workflows using modern LLM and agentic technologies. Develop agent capabilities that interact with enterprise applications, APIs, data sources, developer tools, and mission systems. Integrate models, agents, tools, and enterprise data into secure workflows that can be deployed in controlled and classified environments. Work with LLMs, RAG, embeddings, vector databases, tool/function calling, structured outputs, MCP, and related technologies. Develop mechanisms for agents to securely discover, access, reason over, and act upon approved enterprise data and services. Prototype and rapidly evaluate emerging models, agent frameworks, and AI capabilities to determine where they can create measurab
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We're hiring a Product Manager to own the roadmap for the Observability and Compute/Network teams within Addepar's Foundation Engineering organization. This is a foundational infrastructure role: you'll define and drive the roadmap for how engineers understand the health of their systems (metrics, logs, tracing, alerting, on-call tooling, SLOs) and for the compute and networking substrate their services run on (provisioning, container orchestration, networking, security posture, capacity planning, and cost). You'll work closely with the rest of the Foundation Engineering group to translate reliability risk, infrastructure constraints, and platform strategy into a prioritized, outcome-driven roadmap. This role reports to product leadership within Developer Platform and partners day to day with engineering leadership for Observability and Compute/Network. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Own and evolve the product roadmap for the Observability and Compute/Network te
Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission We're building Zocdoc's provider engagement platform — a system that understands where each practice is in their journey and delivers personalized experiences that deepen their relationship with our platform. Think: intelligent recommendations, engagement scoring, AI-assisted practice management, and a provider experience that makes Zocdoc essential to daily operations. As Staff Engineer, you'll own the technical architecture for core components of this platform. You'll design systems that integrate ML models built by our Data Science team, build the data pipelines that power personalization, and ensure our product surfaces can consume intelligence seamlessly. What You'll Do Own architecture for a major domain practice intelligence APIs, recommendation serving, orchestration layer, or AI-assisted management Design data pipelines that compute engagement signals, aggregate practice profiles, and feed downstream systems Integrate ML models built by Data Science into production model serving, feature pipelines, monitoring, and
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