Application Analyst Jobs

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 Every business running on Stripe eventually asks the same questions: What's happening with my business? What does it mean for my company? How do I reconcile my books? And how do I get my Stripe data into my own systems and apps? This is all becoming even more important in the era of AI, where merchant’s agents need the right access to, and understanding of, Stripe’s data. The Data Products team exists to answer those questions — at any scale, for any business. We build the products that turn Stripe's rich transaction data into understanding and action: Sigma for deep SQL-powered analytics, Stripe Data Pipeline for delivering Stripe data directly into merchants' own warehouses and applications, and databases for surfacing the right insight, in context, right inside the Dashboard. Our users range from a founder running their first revenue report to an enterprise finance team reconciling millions of transactions across dozens of markets, to any agent working on a merchant’s behalf. What they all share is a need to trust their data, understand their business, and move fast. We make that possible. About the Role As the PM leading Data Products, you will own the product strategy and execution for Stripe's merchant-facing data portfolio — defining what it means for Stripe to be the best data platform for our merchants and agents. You'll set the direction across Sigma, SDP, and other data products, lead a team of PMs, and work closely with engineering, d

About the Team OpenAI’s API Platform organization builds the products and infrastructure that help first-party and third-party developers build with OpenAI models. We ship the API primitives, tools, SDKs, documentation, playgrounds, and platform experiences that make OpenAI’s capabilities reliable, understandable, and useful in production. The API Experience team is focused on the end-to-end developer experience for the OpenAI API. We own the surfaces developers touch every day: docs, SDKs, the Playground, examples, onboarding flows, and the systems that help developers go from first request to production deployment quickly and confidently. About the Role We’re looking for full stack and frontend engineers to help define and build the next generation of OpenAI’s developer experience. In this role, you’ll work across frontend product surfaces, backend systems, SDK and documentation pipelines, and API workflows that serve millions of developers and companies. You’ll partner closely with product, design, research, API engineering, and developer-facing teams to make complex AI capabilities simple to understand, easy to test, and safe to launch in real-world applications. This is a highly cross-functional role for someone who cares deeply about craft, developer empathy, reliability, and product velocity. In this role, you will: Build and scale developer-facing products including the OpenAI API Playground, documentation experiences, onboarding flows, examples, and API workflow tools. Own full stack projects end to end, from product definition and UX collaboration through backend implementation, launch, measurement, and iteration. Improve the systems that generate, maintain, and publish SDKs, API references, docs, guides, and developer examples. Partner with API, research, design, and infrastructure teams to bring new model capabilities and API primitives to developers in a clear, usable way. Use developer feedback, product analytics, and direct customer insight to identif

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking an experienced SoC Architect to lead the definition and development of next-generation custom AI silicon for edge deployments. This role will be responsible for shaping the architecture of highly efficient, high-performance SoCs optimized for machine learning inference and on-device intelligence. You will work cross-functionally with internal engineering teams and external ecosystem partners to translate product requirements into scalable silicon solutions, driving execution from concept through delivery. In this role you will: Define the architecture and technical roadmap for custom SoCs targeted for edge applications. Drive system-level tradeoff analysis across compute, memory, interconnect, power, thermal, and cost constraints. Architect energy-efficient ML compute subsystems optimized for inference workloads and real-world deployment environments. Collaborate with internal hardware, software, systems, and product teams to align architecture with platform needs. Partner with external silicon vendors, IP providers, and manufacturing partners to execute development plans. Lead hardware/software co-design efforts to maximize performance per watt and end-to-end system efficiency. Guide implementation teams through microarchitecture, RTL development, validation, and bring-up phases. Operate effectively in agile development environments and help teams deliver against aggressive schedules and milestones. You might thrive in this role if: Proven exper

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. Snowflake product marketers develop and execute go-to-market strategies for the most strategic areas of the business. We are looking for a highly technical, driven, and self-motivated Product Marketing Engineer to lead competitive benchmarking for Snowflake’s Analytics portfolio. This role will own the end-to-end benchmarking process, from defining the testing strategy and designing the benchmarking architecture to executing workloads, validating results, and communicating the outcomes. You will partner closely with Product Management and Engineering to evaluate Snowflake products against competitive offerings using rigorous, repeatable, and defensible methodologies. You will translate technical benchmark results into meaningful customer outcomes and compelling market-facing narratives. Your work will appear across Snowflake blogs, partner publications, technical papers, presentations, demos, and videos. You will also closely monitor competitive products, technical claims, and published benchmarks, helping Snowflake respond quickly, credibly, and strategically. The role will support Snowflake’s broader Analytics portfolio, including Interactive Analytics for real-time use cases, Business Intelligence, Semantic Views, Ontologies, context for AI-powered applications, and core

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. Snowflake is experiencing rapid growth, and we are expanding our Alliances team to support this scale. As a Sr. Partner Development Manager for ISV Tech Partners, you will play a crucial role in building and managing strategic partnerships with external organizations that build products on top of Snowflake. The ideal candidate will have a strong background in business intelligence, analytics pipelines, and data applications, along with exceptional leadership and communication skills. This position offers a unique opportunity to work for an innovative company and to lead our strategic partners within the ISV partner ecosystem. IN THIS ROLE YOU WILL HAVE: Execution - Driven Mindset: Proven ability to deliver results by aligning internal and partner stakeholders across all levels—from C-level executives to individual contributors (ICs)—in sales, marketing, and product teams to achieve partnership goals. Enterprise Data Platform Customer Focus: In-depth understanding of customer needs and priorities within enterprise Data Platform leadership. Relationship Management at Scale: Expertise in building and maintaining impactful relationships across diverse teams and stakeholders. Enterprise Sales Mindset: Hands-on experience driving GTM initiatives and achieving measurable outcomes.

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. About the Role As a Senior Solution Engineer at Snowflake, you are the technical trusted advisor to our customers and prospects. You bridge the gap between complex technical capabilities and business outcomes, equally comfortable whiteboarding architecture with a data engineering team and presenting ROI to a CFO. You own the technical win. Responsibilities Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance) Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives Partner with Account Executives to drive pipeline, accelerate deals, and close business Serve as the voice of the customer back to Product and Engineering teams Build and maintain reusable assets: demo environments, reference architectures, and solution accelerators Stay current on competitive landscape, industry trends, and emerging capabilities across the data & AI ecosystem Required Qualifications 8+ years of experience spanning multiple disciplines: data engineering, analytics

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. We are looking for a Senior Solution Engineer who thrives at the intersection of data, AI, and complex enterprise architecture. In this role you will work directly with the sales team and channel partners to understand the data challenges of our customers, strategize on how to navigate winning sales cycles, deliver compelling data-driven demonstrations, and support enterprise Proof of Concepts that showcase measurable business outcomes. As a Snowflake Solution Engineer you must share our passion for transforming how organizations use data — from raw ingestion to real-time analytics to AI-powered applications. You thrive in a dynamic environment, are equally comfortable whiteboarding a medallion architecture with a data engineering team and presenting data ROI to a C-suite, and you bring deep opinions about what good data platform design looks like. IN THIS ROLE YOU WILL GET TO: Present Snowflake's Data Cloud vision to data engineering leaders, analytics teams, data scientists, and executive stakeholders at prospects and customers Lead hands-on technical discovery to map a customer's existing data architecture — pipelines, warehouses, lakehouses, governance gaps — and design a Snowflake-native path forward Build and deliver tailored demos and proof of concepts across Snowfla

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

Role Summary We are seeking an experienced SOC / Security Operations Lead to oversee and strengthen the organization's Security Operations Center (SOC), threat detection, incident response, vulnerability management, data protection, and security monitoring capabilities. The ideal candidate will possess extensive experience in managing enterprise security operations, SIEM/SOAR platforms, threat hunting, incident response, DLP, endpoint security, and vulnerability management programs. The role requires leadership of a multi-functional security operations team responsible for protecting critical business systems, customer data, and digital assets while ensuring compliance with RBI regulations and industry security standards. Key Responsibilities Security Operations Center (SOC) Management -Lead and manage 24x7 Security Operations Center (SOC) functions. -Establish and enhance SOC processes, playbooks, escalation procedures, and operational metrics. -Ensure timely detection, triage, investigation, containment, and remediation of security incidents. -Develop SOC maturity roadmaps aligned with industry best practices and regulatory expectations. -Monitor security KPIs, SLAs, MTTR, MTTD, and incident response effectiveness. SIEM, XSIAM & Threat Detection -Lead implementation, administration, and optimization of: -Palo Alto Cortex XSIAM -SIEM Platforms -SOAR Platforms -UEBA Solutions -Threat Intelligence Platforms -Develop and tune correlation rules, detection logic, and analytics use cases. -Enhance detection coverage across cloud, endpoints, applications, networks, and third-party environments. -Drive threat hunting and proactive security monitoring initiatives. Incident Response & Threat Management -Lead enterprise cyber incident response activities. -Develop and maintain incident response plans, runbooks, and communication procedures. -Coordinate investigations involving malware, ransomware, phishing, insider threats, account compromise, fraud, and adv

**English version below** Doit être local à Montréal Vous souhaitez travailler dans le domaine de la technologie au sein d'une banque d'investissement? Nous recherchons une personne souhaitant intégrer une équipe dynamique en tant que Développeur Java/Scala pour l’un de nos clients. Il s’agit d’un poste de développement applicatif au sein de l’équipe responsable du développement du data mart stratégique de l’entreprise pour les dépôts ISG. Les données proviendront de la source de référence (« golden source ») et du DAL, puis seront alimentées en temps réel dans notre data mart. Ces données seront ensuite mises à disposition via une interface consolidée, permettant à nos systèmes en aval d’extraire facilement des rapports couvrant plusieurs data marts. Le candidat fera partie de l’équipe chargée de concevoir des bases de données et des composants évolutifs et performants pour les besoins de reporting réglementaire, d’analytique métier (reporting de métriques) et de reporting des risques opérationnels liés aux dépôts Leto et aux produits dérivés OTC. L’équipe mondiale est composée de membres hautement qualifiés sur le plan technique, capables de s’adapter aussi bien au développement pratique qu’à la gestion de projets. Nous menons simultanément plusieurs projets pour différents domaines d’activité. Les responsables métiers et les experts du sujet étant répartis à travers le monde, de solides compétences en communication ainsi qu’une attitude proactive sont essentielles. Vous serez amené à collaborer étroitement avec nos partenaires opérationnels afin de recueillir et de définir les besoins des projets. Le développement sera réalisé selon une méthodologie agile basée sur Scrum (timeboxing, réunions quotidiennes, rétrospectives, etc.), les tableaux Kanban Jira et les meilleures pratiques XP (Extreme Programming) telles que l’intégration continue, le refactoring et les tests unitaires. Le candidat devra être capable de travailler efficacement et en collaboratio

**English version below** Doit être local à Montréal Vous souhaitez travailler dans le domaine de la technologie au sein d'une banque d'investissement? Nous recherchons une personne souhaitant intégrer une équipe dynamique en tant que Développeur Java/Scala pour l’un de nos clients. Il s’agit d’un poste de développement applicatif au sein de l’équipe responsable du développement du data mart stratégique de l’entreprise pour les dépôts ISG. Les données proviendront de la source de référence (« golden source ») et du DAL, puis seront alimentées en temps réel dans notre data mart. Ces données seront ensuite mises à disposition via une interface consolidée, permettant à nos systèmes en aval d’extraire facilement des rapports couvrant plusieurs data marts. Le candidat fera partie de l’équipe chargée de concevoir des bases de données et des composants évolutifs et performants pour les besoins de reporting réglementaire, d’analytique métier (reporting de métriques) et de reporting des risques opérationnels liés aux dépôts Leto et aux produits dérivés OTC. L’équipe mondiale est composée de membres hautement qualifiés sur le plan technique, capables de s’adapter aussi bien au développement pratique qu’à la gestion de projets. Nous menons simultanément plusieurs projets pour différents domaines d’activité. Les responsables métiers et les experts du sujet étant répartis à travers le monde, de solides compétences en communication ainsi qu’une attitude proactive sont essentielles. Vous serez amené à collaborer étroitement avec nos partenaires opérationnels afin de recueillir et de définir les besoins des projets. Le développement sera réalisé selon une méthodologie agile basée sur Scrum (timeboxing, réunions quotidiennes, rétrospectives, etc.), les tableaux Kanban Jira et les meilleures pratiques XP (Extreme Programming) telles que l’intégration continue, le refactoring et les tests unitaires. Le candidat devra être capable de travailler efficacement et en collaboratio

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing The Senior Industrial Engineer plays a vital role in advancing manufacturing and distribution excellence by driving efficiency, innovation, and continuous improvement across operations. This position applies industrial engineering principles to optimize production processes, facility layouts, material handling systems, and labor utilization while supporting East Coast manufacturing and distribution teams. The role leads projects involving equipment installation, relocation, and workflow redesign; develops labor and capacity models for global golf ball manufacturing; and identifies opportunities for cost reduction, productivity gains, and operational improvements. Through data-driven analysis, reporting, and cross-functional collaboration, the Senior Industrial Engineer helps ensure safe, efficient, and scalable operations that support long-term business growth. What You Bring Bachelor’s degree in Industrial Engineering or a related Engineering discipline required Minimum of 5 years of Industrial Engineering experience Proficient in the use of computers and engineering software Ability to sit, stand, walk, crawl, and climb for extended periods as needed Proficiency with AutoCAD and Microsoft Office applications Experience with facility layout design and optimization Strong knowledge of capacity planning and capacity analysis Experience with Lean manufacturing, process simp

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. Department Intro: The Advanced Packaging Technology Development (APTD) department at Micron Technology is at the forefront of innovation, driving the advancement of memory and storage Interconnects and Packaging solutions that transform how the world uses information. Our team is dedicated to developing innovative processes and technologies that enable the creation of next-generation semiconductor products which drive the AI revolution. Position Overview: As a Staff Process Engineer in Advanced Packaging CMP team, you will be primarily responsible for starting up, developing and optimizing processes to improve product quality and reliability, working on process yield improvement, cost reduction, productivity improvement and risk management as well as resolving manufacturing line problems. You will also be required to identify, diagnose and resolve assembly process related problems by applying failure analysis, FMEA, 8D or SPC/FDC methodology. This position requires communication and collaboration with associates both within the region and internationally. Strict adherence to Micron Intellectual Property Protection policy is vital. This role will also extensively collaborate with vendors to develop processes that meet integration requirements. Responsibilities: Perform fundamental research, consumables development, and hardware evaluation, as well as test processes for novel applications Initiate and manage experiments to widen process margins and evaluate man

Application Software Engineer, Phantom Works (Experienced or Senior) Company: The Boeing Company The Boeing Company is looking for an Application Software Engineer (Experience or Senior ) to join the Phantom Works Open Architecture Systems Integrated Software (OASIS) Solutions team located in Berkeley, MO. This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. Phantom Works is where imagination meets engineering excellence — a place where bold ideas are shaped to transform the future of defense. Driven by curiosity and relentless problem-solving, our team pushes boundaries across aerospace, autonomy, emerging technologies and advanced materials to create breakthrough capabilities that keep people and warfighters safe, and missions successful. With a culture of collaboration, integrity, and rigorous testing, Phantom Works transforms daring concepts into trusted, operational solutions that inspire confidence and expand what’s possible in the skies and beyond. The selected team member will enjoy working collaboratively with others, has commitment to customer satisfaction and process improvement, and is successful working in a multi-contract/multi-program environment. The Application Software Engineer will support the development of solutions to a wide range of complex problems that require ingenuity and innovation. The ideal candidate should be adaptable to new development environments and eager to work with and learn new technologies. Position Responsibilities: Designs, develops, tests, and maintains embedded software throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards. Reviews, analy

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. As an Application Engineer for AI Automation , you will be at the clinical edge of our intelligence layer. This isn't just about writing code; it's about architecting the nervous system of our automated enterprise. You will bridge the gap between heavy-duty enterprise platforms (Salesforce, Zuora, ServiceNow) and the next generation of Agentic AI. Your primary mission will be building high-performance Model Context Protocol (MCP) servers that allow AI agents to interact deeply with complex business logic—specifically within the Salesforce ecosystem (Quote, Opportunity, and Renewal services). You’ll move from building RAG-based retrieval to orchestrating Agent-to-Agent communication , creating a seamless autonomous workflow across our tech stack. Key Responsibilities Architect MCP Servers: Design and implement robust MCP servers to expose Salesforce services (Quote, Opportunity, Renewal) and other core platforms to AI agents. Data Model Synthesis: Rapidly decompose the data models of enterprise applications like Zuora, Salesforce, and ServiceNow to build effective schemas for AI interaction. Build AI Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) workflows and AI agents that can execute complex tasks with minimal human intervention. Agentic Orchestration: Lead the transition from simple chatbots to Agentic AI , focusing on multi-agent collaboration and autonomous "Agent-to-Agent" communication. Integra