Application Development Technical Lead Analyst Jobs

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competit

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ programming skills, thorough knowledge of graphics concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation PC/hardware architecture. Excellent communication skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. What you'll be doing: Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions. This job will require an understanding of our hardware and software architectures. What we need to see: BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience 3+ years experience in a related hardware/software position Strong C/C++ programming skills Familiarity with P

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. With the continuous improvement of chip technology, design scale and performance/power ratio, the physical design of digital chips is facing outstanding challenges in high frequency, low power consumption and multiple applications. High efficiency, high quality of the implementation of the construction chip is the guarantee of the company's competitiveness. As an ASIC-PD engineer at NVIDIA, you'll be responsible for the stage from RTL frozen to tape out, include synthesis, formal verification, constraints definition, timing closure/sign off, study on the timing impact of process and related methodology work. You will face the biggest challenge based on the most advanced process on building chips in the world. What you'll be doing: Chip integration and netlist generation Synthesis RTL/netlist quality check </li

Roll : SAP FI/ABAP Support Consultant Location : Visakhapatnam and Hyderabad Employment Type : Full-Time Experience : 5+ Years Skiils : SAP FI,SAP ABAP Job Summary: Provide support and enhancements for SAP FI and ABAP applications. Analyze and implement simple change requests (e.g., adding/changing a field, field validations, report updates, screen modifications). Perform basic ABAP development, testing, and transport management. Support incident resolution and user queries. Coordinate with onsite teams and business stakeholders. Preferred Skills: SAP FI functional knowledge (GL, AP, AR, Asset Accounting). Basic ABAP development and debugging. Experience with small enhancements and support activities. Knowledge of SAP interfaces/integrations. Preferred: Experience with SAP integrations with Workday (employee master data, organizational data, payroll, HR-related interfaces using IDoc, APIs, middleware such as CPI/PI/PO).

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization. We're looking for a Software Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. 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 and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges. This role will be based out of Washington, Oregon, or California. The ideal candidate for this role will have 2+ years of engineering experience in backend systems, distributed systems, or core platform development Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory ma

MongoDB is transforming the $138B+ data management software market by empowering developers to build the next generation of applications. As the leading modern data platform—and the first database company to IPO in over 20 years—we're at the forefront of innovation. We are seeking a driven, experienced commercial attorney to lead and scale our U.S. Public Sector and government contracting business. Operating in a fast-paced, high-growth environment, you will serve as the primary legal partner for our public sector sales ecosystem, managing complex transactions and ensuring strict regulatory compliance. This role can be based out of our US offices or remotely in the United States. Core Responsibilities & Requirements End-to-End Deal Execution: Draft, structure, and negotiate high-value public sector and commercial transactions, including SaaS, cloud licensing, professional services, and subcontracting agreements Public Sector Compliance: Provide expert guidance on U.S. and international government procurement laws, including FAR/DFARS frameworks, GSA schedules, and FedRamp requirements, and support ongoing development and refinement of public sector compliance program Strategic Sales Advisory: Advise cross-functional teams throughout the public sector sales lifecycle, from initial RFP evaluations and proposal risk assessments to handling audits or disputes Operational Scalability: Build, refine, and maintain legal playbooks, contract templates, and training modules to streamline negotiations and empower sales teams Regulatory Monitoring: Stay ahead of evolving technology laws, government contracting regulations, and government and defense related export controls to provide proactive, actionable risk mitigation strategies Cross-Functional Collaboration: Work cross-functionally to launch new programs to support growth of commercial and public sector businesses Requirements: 8+ years of US public sector transactions experience, preferably at a law firm a

About the Team Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches ( ChatGPT , API , Sora ), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. 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: Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. Optimize backend services for performance, scalability, and security in a distributed computing environment. Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in full-stack development. Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). Experience building data-intensive applications that handle large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Prior experience with web crawling and large-scale data processing is a

About the Team Our team brings OpenAI’s most capable technology to the world through our developer platform: the OpenAI API. As the leading AI development platform, our API is used by millions of developers and the majority of enterprises around the world, and powers the majority of AI applications that you may use on a daily basis. The platform supports everything from simple model calls to stateful, multimodal, tool-using applications through the Responses API, Agents SDK, Realtime API, and more. Our SDKs turn that fast-moving platform into reliable, idiomatic developer experiences across languages. About the Role We are looking for a software engineer to help build the official SDKs that power the OpenAI API. Currently offered in Python, Node.js, Golang, Java, and Ruby – our SDKs are some of the most popular in the world. You will help shape the developer experience for all new API features, as well as all future versions of our APIs. We’re looking for engineers who are deeply immersed in AI-native development: people who actively build with Codex and other coding agents, have developed agentic applications or developer tools, and bring strong, experience-backed opinions about OpenAI’s APIs. You’ll pair that firsthand product intuition with meticulous SDK design to improve how developers build with our platform. Prior experience building SDKs is lovely, but not absolutely necessary. In this role, you will: Define and implement the SDK experience for all new API features, as well as all future versions of our API. Build and experiment with agentic applications, developer tools, and coding-agent workflows using Codex and OpenAI’s APIs, translating firsthand experience into better SDK abstractions, API ergonomics, and developer experiences. Build and maintain our systems to make SDK maintenance and generation streamlined and automated. Contribute to our SDK strategy and roadmap, including which languages to support and what features to support. Collaborate closely w

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. In this role, You Will: Design, develop, and implement exceptional user interfaces for web applications using modern web technologies such as HTML, CSS, and JavaScript. Collaborate closely with product managers, UX designers, and other stakeholders to gather requirements, own the user experience, develop wireframes, and create high-fidelity prototypes. Develop and maintain API integrations, ensuring seamless communication between front-end and back-end systems using React and gRPC. Contribute to back-end development with a focus on creating robust APIs and ensuring smooth communication between the front-end and server using technologies like Node.js or Python. Build, test, and deploy full-stack web applications using React and gRPC, while ensuring responsiveness, performance, and scalability. Optimize web applications for performance, accessibility, and SEO best practices. Troubleshoot and resolve UI and back-end related issues, ensuring a consistent and optimal user experience across multiple platforms and devices. Write clean, maintainable, and well-documented code adhering to established coding standards, and deploy/debug using platforms like Vercel. Ideally You'd Have: Bachelor

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. Build what’s next. Create the future of AI Data Cloud-powered Retail, CPG, manufacturing and supply chain solutions. We’re not just building the AI Data Cloud — we’re shaping how industries solve their biggest challenges with data. Our partner ecosystem is a key driver of that innovation, and we’re looking for a strategic, high-energy leader to serve as the Manager, Data Cloud Partners for a series of strategic industries One of the unique benefits of Snowflake’s architecture is the ability to securely share data, applications, and solutions with other Snowflake accounts without creating a copy of the data. The Snowflake Data Cloud builds on our Secure Data Sharing functionality to be the ‘App Store for Data’ enabling Providers and Consumers to publish, discover, and monetize data, applications, and solutions. In this leadership role, you will lead a team of Partner Development Managers (PDMs) who are helping partners leverage Data Sharing to replace traditional delivery methods like files and APIs, driving the network effect of our Data Cloud. This is a chance to guide a high-impact team, craft ecosystem strategies with top-tier Manufacturing, Supply Chain, Retail, CPG and Industrial IoT ISVs, and be part of a team that’s transforming how these industries operate at scale

The Best Players Need the Best People. Responsible for owning the end-to-end vision, strategy, and development of ShotLink applications, the TOUR’s proprietary scoring system, and other products to score golf and effectively track PGA TOUR events. This position is part of a team responsible for designing, developing, and managing scoring and tracking golf with real time data and statistical analysis across all PGA TOUR events. QUALIFICATIONS Bachelor’s degree in business, Computer Science, or Engineering, Information Systems, or adjacent degree and relevant work experience. 10 years related experience required in Product Management or Product Development, consumer digital products experience required. Strong understanding of agile practices including backlog management and prior experience working with Project Management; deep prior experience managing and directing vendor relationships Knowledge of UX / UI and consumer research best practices as it relates to successful product development Knowledge of camera tracking, LiDAR, GPS, RTK technologies preferred Ability to use script languages a plus Understanding cloud-based architecture required Extensive golf knowl

Job Details: Job Description: The Role and Impact As a Development Tools Software Engineer, you will play a vital role in creating and optimizing cutting-edge software tools that support diverse engineering domains such as design, manufacturing, validation, silicon production, systems integration, and ecosystem enabling. On a day-to-day basis, you'll design, develop, debug, and validate algorithms, tools, and systems that empower internal and external engineering teams to deliver impactful products. Your contributions will directly enable the seamless integration of Intel silicon and software into innovative solutions, driving progress across industries. Business group You will join Intel Corporation, a leading global technology company dedicated to advancing semiconductor innovation and creating solutions that enrich the lives of people worldwide. The team focuses on developing robust software tools and methodologies that support Intel's engineering ecosystem, fostering excellence and driving high-quality results. This group plays a critical role in enabling Intel's broader mission of building world-class technologies and products that power the future of the digital world. Key Responsibilities - Design and implement software tools using modern software development methodologies and programming languages. - Debug, validate, and optimize algorithms and software systems for engineering applications, ensuring high performance and reliability. - Collaborate with cross-functional teams to create solutions that enable seamless integration of Intel silicon and software into impactful products. - Utilize secure coding practices to ensure the robustness and security of software tools across various engineering domains. - Continuously explore innovative solutions to enhance design, manufacturing, validation, and testing processes. <p st