Ai Application Packaging Engineer in United States

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. YOU MAY BE A GOOD FIT FOR THE TEAM IF YOU HAVE: An understanding of Snowflake's product in order to be able to provide guidance to navigate complex technical evaluations Drive to enable, coach, develop and motivate a robust inside sales team Developed territories by planning strategically and effectively 2+ years guiding Account Executives through complex legal and commercial negotiations A customer first mindset to ensure success Consistently executed what is forecasted to senior management Understand how to sell business value, using a repeatable process Coach reps on how to create urgency and deal control IN THIS ROLE YOU WILL GET TO: Recruit and build successful sales professionals into high-performing revenue drivers for Snowflake Build cross-functional relationships with internal and external support teams & technical partners Influence go-to-market strategy for venture backed/high growth startups. Develop a team culture around Snowflake Core Values Sell an industry changing and market defining product ON DAY ONE WE WILL EXPECT YOU TO HAVE: BA/BS required 3+ years selling Cloud Solutions, Infrastructure Software, Databases, Analytic Tools, or Applications Software 2+ years managing a team of sales teams Sold to CEOs, CTOs, Heads of Product, Engineering, or Data Sc

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior O365 Engineer is responsible for the design, administration, and support of Microsoft 365 services across the enterprise, with deep experience spanning the full Microsoft platform. This role delivers and maintains identity, security, and collaboration solutions including single sign-on (SSO) applications, app registrations, conditional access, Privileged Identity Management (PIM), Microsoft Purview, SharePoint, OneDrive, Teams, Microsoft 365 Groups, Exchange, and Microsoft 365 Copilot. Work includes configuring secure access controls, governing data and collaboration workloads, and automating administration through PowerShell and scripting. You will support service health, troubleshoot issues, and optimize performance across Microsoft 365 workloads while partnering with security, infrastructure, and business teams. Through strong platform stewardship and cross-platform expertise, the engineer contributes to a secure, well-governed, and highly available Microsoft 365 environment.

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior O365 Engineer is responsible for the design, administration, and support of Microsoft 365 services across the enterprise, with deep experience spanning the full Microsoft platform. This role delivers and maintains identity, security, and collaboration solutions including single sign-on (SSO) applications, app registrations, conditional access, Privileged Identity Management (PIM), Microsoft Purview, SharePoint, OneDrive, Teams, Microsoft 365 Groups, Exchange, and Microsoft 365 Copilot. Work includes configuring secure access controls, governing data and collaboration workloads, and automating administration through PowerShell and scripting. You will support service health, troubleshoot issues, and optimize performance across Microsoft 365 workloads while partnering with security, infrastructure, and business teams. Through strong platform stewardship and cross-platform expertise, the engineer contributes to a secure, well-governed, and highly available Microsoft 365 environment.

The Senior Software Engineer is a senior individual contributor who drives the technical direction of backend services in Go and front-end applications in Vue.js that power the Topgolf guest experience across our venues and digital products. This role owns architecture and design decisions across the stack and influences engineering standards through technical guidance and mentorship, not formal people management. Job Responsibilities Own and implement architecture and technical design decisions for backend services and APIs in Go across one or more product areas Design and build complex, scalable front-end applications and components using Vue.js Define and evolve API contracts and integration patterns (REST and/or event-driven) across services Set and drive automated testing strategy and code quality standards across the stack Provide technical guidance and mentorship to engineers through code reviews, design discussions, and pairing Diagnose and resolve complex, cross-service production issues, improving logging, monitoring, and alerting practices Champion spec-driven development, authoring and reviewing technical specs and design docs for cross-team initiatives Evaluate and drive adoption of AI-assisted development tools (e.g., Claude Code, Cursor) to improve engineering velocity and code quality Critical Skills & Experience Requirements Professional software engineering experience Building backend services in Go Building front-end applications with Vue.js Working with AI-assisted development tools (e.g., Claude Code, Cursor) in a professional setting Providing technical mentorship or driving cross-team technical initiatives BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that

About the Role As a Field CTO (Strategic Pursuits) , you will serve as a strategic bridge between our customers, go-to-market (GTM) teams, and product organization. You will partner closely with Sales, Technical Success, and Product to shape high-impact deals, guide customer architecture decisions, and influence our product roadmap based on real-world adoption and feedback. This is a highly cross-functional, externally facing leadership role for someone who combines deep technical expertise with strong business acumen and customer empathy. In this role, you will: Customer & Deal Strategy Partner with Sales, Product and Technical Success teams to support complex, high-value deals as a technical and strategic advisor. Translate customer business needs into scalable technical solutions and architectures. Engage with senior customer stakeholders (CTO/CIO/VP-level) to drive alignment on vision, roadmap, and adoption. Lead technical strategy discussions during key deal stages, including discovery, solution design, and executive presentations. Architecture & Implementation Guidance Guide customers on best practices for deploying and scaling AI-driven solutions in production. Provide architectural oversight across use cases such as LLM applications, integrations, data pipelines, and security. Act as a trusted advisor to ensure long-term success, not just short-term wins. Product & Feedback Loop Bring structured customer insights back to Product and Engineering teams to inform roadmap and prioritization. Identify gaps, opportunities, and emerging patterns from customer deployments. Influence product direction based on real-world usage, scalability needs, and enterprise requirements. GTM Strategy & Thought Leadership Help shape GTM strategies by identifying repeatable patterns across industries and customer segments. Develop scalable frameworks, reference architectures, and playbooks for broader field teams. Represent the company externally through customer en

The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity. We are looking for a Staff Engineer with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test. This role will be based remotely in North America. A strong candidate for this position will have Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL Experience with tools and methodologies for code analysis, refactoring, and automated testing Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear unde

Software Quality Engineer Description - This role is responsible for maintaining the quality, reliability, and performance of software applications throughout the development lifecycle. The role identifies and rectifies defects, ensures adherence to established quality standards, and contributes to the overall improvement of the software development process. The role involves various activities aimed at preventing and detecting issues, thereby enhancing the end user experience. The role creates and executes comprehensive test plans, test cases, and test scripts based on project specifications. *Onsite in Ft. Collins 5-days a week Responsibilities • Executes established test plans and protocols for assigned portions of code for end-user applications, systems software, and firmware running on hardware, local, networked, and Internet- based platforms; identifies, logs, and debugs assigned issues. • Perform Functional and Solution Testing of Video/Collaboration Software • Additionally, codes and programs test scripts, automation, and integration activities based on specific test requirements. • Conducts functional, integration, regression, and performance testing to validate software functionality. • Automates testing processes using appropriate tools and frameworks to improve efficiency and repeatability. • Monitors and enforces adherence to established coding standards, design guidelines, and best practices. • Monitors software performance and conducts load and stress testing to identify bottlenecks and performance issues. • Prepares and maintains QA-related documentation, including test plans, test matrices, and testing reports. • Develops understanding of and relationship with internal and outsourced development partners on software applications design and development. • Participates as a member of project

Software Quality Engineer Description - This role is responsible for maintaining the quality, reliability, and performance of software applications throughout the development lifecycle. The role identifies and rectifies defects, ensures adherence to established quality standards, and contributes to the overall improvement of the software development process. The role involves various activities aimed at preventing and detecting issues, thereby enhancing the end user experience. The role creates and executes comprehensive test plans, test cases, and test scripts based on project specifications. *Onside in Ft Collins 5-days a week Responsibilities • Executes established test plans and protocols for assigned portions of code for end-user applications, systems software, and firmware running on hardware, local, networked, and Internet- based platforms; identifies, logs, and debugs assigned issues. • Perform Functional and Solution Testing of Video/Collaboration Software • Additionally, codes and programs test scripts, automation, and integration activities based on specific test requirements. • Conducts functional, integration, regression, and performance testing to validate software functionality. • Automates testing processes using appropriate tools and frameworks to improve efficiency and repeatability. • Monitors and enforces adherence to established coding standards, design guidelines, and best practices. • Monitors software performance and conducts load and stress testing to identify bottlenecks and performance issues. • Prepares and maintains QA-related documentation, including test plans, test matrices, and testing reports. • Develops understanding of and relationship with internal and outsourced development partners on software applications design and development. • Participates as a member of project t

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Team: The Revenue Data Engineering Teams designs, builds and runs the data pipelines and helper systems to accurately and in a timely manner quantify our customers’ usage across all Datadog products. This team is at the leading edge of any new product we release. The Revenue Data Processing team builds and operates the data pipelines that does billing, and cost attribution for all Datadog products. We process terabytes of data daily to power revenue-critical systems and are at the center of every new product launch at Datadog. As a Senior Software Engineer, you will own meaningful parts of a large-scale, mission-critical processing platform — driving architectural improvements, building new billing capabilities, and maintaining the high reliability bar our downstream consumers depend on. You Will: Design and build high-throughput data pipelines for billing and cost attribution Drive platform improvements — latency reduction, Spark optimization, sharding, and cross-datacenter reliability Own root-cause investigations on billing accuracy issues in collaboration with Finance and Product teams Contribute to new billing features Work across Python and Scala, with technologies including Spark, Airflow, Trino, and Apache Iceberg Participate in on-call rotation and maintain a high reliability bar for production systems Contribute to engineering standards and help grow the technical culture of the team You Are: You have significant experience building and operating production data pipelines at scale using Spark and Airflow

Datadog is a world-class monitoring and security platform for cloud applications. We're dedicated to creating, developing, and supporting our product and customers, fostering seamless collaboration and problem-solving among Dev, Ops, and Security teams globally. Built by engineers for engineers, our SaaS product is trusted by organizations of all sizes across various industries, driving digital transformation, cloud migration, and infrastructure monitoring for our customers' entire technology stacks. As cloud technologies continue to evolve and digital operations become ever more crucial, Datadog remains at the forefront of innovation and is well-positioned for sustained growth. Datadog's Finance team partners with stakeholders across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business continues its rapid and efficient growth. The Equity Administration team is responsible for overseeing the full cycle of stock administration on a global basis, collaborating with groups across Accounting, Tax, People, Payroll, and Legal to manage Datadog's equity plans worldwide. Our work spans the processing of equity transactions including RSU releases, stock option exercises, and ESPP purchases; management of equity-related inquiries from employees, executives, investors, and other key partners; day-to-day management of the E*TRADE Equity Edge Online platform; global equity reporting and tax compliance; oversight of equity procedures, policies, and controls; and employee education on equity programs. We are seeking a hands-on Equity Administration Assistant Manager to own our complex and high-risk equity workstreams. Reporting to the Senior Manager, Equity Administration, the Assistant Manager will serve as a first level preparer or reviewer on equity transactions, assist with process documentation, and work closely with various internal teams across Accounting, Tax, People Operations, Payroll, and Legal. This is a ro

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for strong backend engineers who love building a developer tools used by the largest AI companies in the world. You’ll be building for things at scale, but also for new AI workflows that change every day. Requirements: Experience building and shipping modern web applications end-to-end. We care more about what you’ve built than how many years you’ve been building. Comfort working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics. Deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes, training and inference for large language (LLM) and diffusion models. Experience with at least one of: billing/payments systems, B2B SaaS tooling, or enterprise software, or LLM / diffusion models inference and training loads. Strong product instincts; yo

The opportunity Datadog’s Infrastructure products help engineers understand and operate the systems their applications depend on. Our customers work in complex environments like Kubernetes and serverless, where infrastructure changes constantly, information is dense, and decisions about reliability, performance, and cost are closely connected. We’re looking for a Staff Product Designer to join Modern Compute, with an initial focus on Containers Autoscaling. Autoscaling helps engineering teams make better decisions about how their applications and infrastructure use resources. Designing these experiences requires making deeply technical systems understandable, helping customers act with confidence, and fitting into the tools and workflows they already use. The team is rethinking how workload and cluster autoscaling come together as a more coherent product experience. This includes how customers get started, understand recommendations, evaluate value, and safely apply changes across their environments. The work also connects to other parts of Datadog, including observability, Cloud Cost Management, permissions, and AI-assisted workflows. As a Staff Product Designer, you will help define that direction and lead the work from early problem framing through shipped product. You will partner closely with product and engineering, bring a high level of interaction and visual craft to complex workflows, and help raise the quality of design across Modern Compute. At Datadog, we place value in our office culture, the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to help our Datadogs find a work-life rhythm that works for them. What you’ll do Lead end-to-end product design for Modern Compute, initially focused on our Autoscaling product. Help define the product direction for an area that is still evolving, from early framing and exploration through detailed design and delivery. Design clear, trustwort

The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or r

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. Who are we? 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 and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who are you? We are seeking a Software Engineer to join the Ema team. You are passionate about designing and developing maintainable software applications. You are a creative problem solver who thrives in ambiguity and can make abstract problems concrete. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting im

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains. We ensure that insights from policymakers inform our work and – in collaboration with our colleagues and external stakeholders – seek to shape policy so that it aligns with and supports our mission. About the role OpenAI is looking for an Applied Risk Standards Specialist to lead standards work for applied risk in applications, including mental health, youth safety, age assurance, functional efficacy, reliability, and privacy-related risks. You will help turn internal research, safety policies, and evaluation methods into technically sound, measurable, and adaptable standards that build public trust and support responsible deployment. This role sits within our AI standards and global assurance function in Global Affairs. Working closely with Safety Systems, Research, Product, Model Policy, Legal, and third-party evaluators, you will author proposals, negotiate requirements, and represent OpenAI in priority standards bodies. You will take on the drafting and external engagement needed to advance this work, enabling technical experts to focus on the underlying methods and evidence. You will also bring emerging requirements back into internal planning before they become established expectations. Alongside this primary portfolio, you will support the AI Standards and Global Assurance Lead on frontier AI assurance, contributing to risk-management standards, evaluation and benchmarking requirements, and approaches to independent assessment. The role connects technical practice with external standards. It does not replace t