Product Sales Jobs

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is looking for a Machine Learning Engineer who is passionate about collaborating with data scientists, product managers and engineers alike. As part of our team, you will help us accelerate the development and extension of products powered by Gen AI and many other shapes of Machine Learning. You’ll be contributing hands-on to the development of the services and pipelines that enable multiple ML/AI features in our product. You will have the opportunity to collaborate with multiple organizations, taking input and guidance from your senior stakeholders and helping bring our initiatives to reality. You’ll succeed by showcasing excellent capacity to manage time, demonstrating emotional intelligence as you navigate stakeholder relationships, and by continuously improving your technical skill set. Key Responsibilities Build and improve the capabilities that enable and accelerate the production of machine learning (ML) and generative AI (genAI) based solutions Partner with data scientists, effectively sharing engineering context and collaborating to support larger initiatives Incorporate the best ava

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team AI and stablecoins have brought upon a renaissance of innovation in the internet economy. Products like the Link AI Wallet and stablecoin cross border payments are signs of a rapid transformation in the way people pay. Underpinning this new technology is access to the same network of banks and financial institutions that consumers and businesses have relied on for decades. Now more than ever, bank accounts need to transform into powerful tools to unlock this new age of commerce. The Financial Connections team is building the connective tissue between banks and the internet economy. We’re building a platform to make ergonomic, portable access to banking data seamlessly and securely available to businesses around the world. Today, we power consumer experiences like Link Instant Bank Payments and merchant experiences like Stripe Capital. We’re on a mission to help consumers do more with their bank accounts, and we’d love for you to be a part of our story. What you’ll do We’re looking for Backend Engineers to design, build, and maintain scalable bank integration infrastructure. In this role, you’ll have the opportunity to work across the stack, creating intelligent systems that adapt to the availability of our banking partners and enable connectivity for new countries and product use cases. Our work is often cross-cutting; you’ll play a key role in our partnerships with banks and financial institutions while delivering a next-generation connecti

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. The Site Inventory Control (SIC) team is at the forefront of our ambitious expansion efforts. SIC plays a pivotal role in connecting wafer starts, inventory strategy, cycle time management, output delivery, and factory execution. As a Senior Engineer for Fab 4 HVM SIC, you will be the operational hub, driving alignment between Technology Development (TD), High Volume Manufacturing (HVM), Probe, Supply Chain, Planning, and Engineering organizations. This outstanding opportunity allows you to lead the charge in optimizing inventory and cycle time performance while ensuring flawless factory execution! We are looking for individuals who thrive on collaboration and tackling complex operational challenges. You'll have the chance to bring to bear data to drive decisions and implement AI-enabled solutions to improve speed, accuracy, and decision-making. Responsibilities: Lead multi-functional initiatives for wafer starts, inventory, cycle time, and output performance to support business commitments Develop and improve inventory control methodologies, business processes, and operational metrics and recommend corrective actions Develop and implement inventory, priority, and capacity strategies for New Product Introduction (NPI) programs Foster coordination between Technology Development, High Volume Manufacturing, Supply Chain, Planning, and Engineering teams to optimize inventory positions and factory flow Identify and mitigate constraints, risks, and op

Job Title Lead Software Technologist I - UI Job Description Minimum required Education: Bachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent. Job title: Lead Software Technologist I Your role: Lead development of intuitive clinical user interface applications used by clinicians in high-acuity environments. Collaborate with UX teams and clinicians to ensure applications meet usability and safety requirements. Provide technical leadership across modern UI technologies and supporting C++ layers for embedded devices. Lead and mentor Platform development teams on software architecture, design patterns, and embedded systems best practices through daily hands-on collaboration. Lead and mentor application development teams on application services for physiological data visualization, and clinical decision support features. Establish and enforce quality standards, development methodologies, and coding practices that drive continuous improvement in software reliability and performance. Conduct rigorous code reviews and provide constructive technical feedback to ensure adherence to medical device software standards (IEC 62304, FDA regulations) Optimize application performance by identifying and resolving bottlenecks in resource-constrained embedded Linux environments. Drive the adoption of AI-enabled development tools and demonstrate measurable productivity improvements across the team. Collaborating with cross-functional teams including Product Management, QA, Regulatory, and other engineering leads to define and deliver features. Support software lifecycle management activities including sustaining engineering, defect resolution, and platform evolution.

We are looking for a Solutions Architect to help customers and partners in South East Asia embrace NVIDIA technologies to build, deploy, and scale vision AI and video AI solutions. This is a highly technical role that requires deep expertise in VLM AI models and software engineering practices. We need a passionate, hard-working, expert and creative individual to help us pursue the many opportunities in this region. A Solution Architect is the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, training/workshops, troubleshooting, project coordination, industry and marketing speaking engagements, customer relationship management and more. What you'll be doing: Drive the adoption of NVIDIA's vision AI and video AI capabilities. Provide hands-on technical leadership to put VLM (Visual Language Models) and WFM (World Foundation Models) into applications for computer vision, document processing, and video analytics. Support solution development and technical validation around NVIDIA vision AI and video AI technologies Work with field, product, and engineering teams to translate customer requirements into deployable architectures, technical feedback, and roadmap input. Deliver demos, workshops, technical reviews, and partner enablement sessions that accelerate adoption of NVIDIA AI technologies. What we need to see: BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, Machine Learning, or a related field, or equivalent experience. 5+ years of proven experience in computer vision, vision AI, video AI, or world foundation models. Hands-on experience in building and scaling production VLM and multi-modal AI systems. Strong Python ski

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access. Develop scalable cloud-native services and APIs that support exabyte-scale, high-performance GPU training and inference workflows. Work closely with product managers, internal AI teams, platform teams, and partner engineering teams to understand requirements and turn them into reliable production systems. Collaborate with SRE, operations, and support teams to improve service reliability, performance, observability, on-call readiness, and operational scale. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, and verification. What we need to see: BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience. Strong foundation in algorithms, data structures, distributed systems, and practi

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. What you’ll be doing: Use and develop AI-powered tools to make software testing smarter, faster, and more effective! Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization. Work with product, engineering, and cross-functional teams to review requirements and define test strategies. Build test plans, design and execute test cases, and report quality status, risks, bugs, and results. Perform functional, performance, fault-injection, reliability, and regression testing for cloud-native systems. Automate test cases and contribute to scalable test frameworks. Manage the bug lifecycle, reproduce customer issues, and verify fixes. What we need to see: MS or PhD in Computer Science, Engineering, or a related field. 5+ years of QA, test automation, or software testing experience. Hands-on experience using AI tools to improve QA workflows. Strong QA fundamentals, test strategy, test planning, and failure analysis skills. Proficiency with Unix/Linux and shell or Python programming. Exp

NVIDIA is currently seeking a Solutions Architect Manager for Data Processing! Would you enjoy researching new algorithms and memory management techniques to accelerate data processing on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the top tier edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Solution Architecture Team invites you to consider this opportunity. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, revolutionized parallel computing, and ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence; join our team today! What you will be doing: In this role, you will lead a data processing SA team to research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications and new AI data processing technologies. Work closely in China To4++ in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU/CPU architectures. Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line What we need to see: Masters or PhD in Computer

NVIDIA is seeking a Senior Firmware Engineer to join our CSP Engagements team, focusing on system software for Datacenter products such as GB200. This role combines deep technical expertise in embedded firmware development with customer-facing responsibilities to enable cloud service providers with next-generation computing platforms. You will work at the intersection of hardware and software, driving technical solutions from concept through deployment. What you will be doing: Design and develop firmware solutions for manageability and observability of data center servers. Actively participate in hardware bring-up activities, OOB firmware development, protocol stacks (Redfish, PLDM, MCTP, NSM) and hardware-software co-design for Cloud Service Provider deployments. Debug and troubleshoot NVIDIA GPU firmware issues, power management, performance, and thermal control problems for data center deployments, providing active support to CSPs. Partner directly with CSPs to deliver technical solutions, co-develop & co-debug features and optimizations, and provide support during new product introductions. Perform advanced system debugging, root cause analysis, and performance optimization for large-scale data center environments. Collaborate with AE, FAE, and Solution Architect teams to deliver integrated customer solutions and technical documentation. What we need to see: Deep expertise in data center server architectures, HPC systems, and hardware-software co-design. Deep expertise in embedded firmware, server management controllers, and hardware bring-up with proven track record of shipping production BMC solutions Strong knowledge of DMTF protocols (Redfish, IPMI, PLDM, MCTP, SPDM), telemetry frameworks, and out-of-band management architectures Expert-level skills in C/C&

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role As an Applied Research Engineer in our Video team, you will help build the next generation of production-grade foundation models for human-centric video generation. You will join a highly focused team working at the intersection of large-scale generative modeling, distributed systems, and production engineering. Our mission is to develop and optimize video base models that power realistic, controllable, and emotionally expressive synthetic humans at scale. This is not pure research. This is applied research with direct product impact. You will work on advancing training recipes, scaling distributed systems, improving evaluation frameworks, and optimizing inference to ensure our models are high quality, stable, and efficient enough for real-world deployment. Your work will directly influence models used by tens of thousands of businesses worldwide. What you’ll do You will own and execute end-to-end research and engineering projects, from hypothesis to production impact. This includes: Developing and scaling latent video diffusion models tailored for human-centric video generation Designing conditioning mechanisms to improve control (pose, emotion, script, camera) without sacrificing fidelity Advanc

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. Why This Role? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-thei

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team & role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Bitstamp made history in 2011 as the world’s first regulated crypto exchange. Today, we are entering an ambitious new chapter as part of the Robinhood family. The Risk team's mission is to safeguard Robinhood's operations by providing robust second-line oversight of technology and cyber risk. We focus on protecting our customers and maintaining the trust of regulators and partners. We collaborate with security, engineering, and product teams to ensure our technology arrangements are resilient and secure. Our team values rigorous analysis, open communication, and proactive risk management! Together, we ensure that our digital asset and brokerage services scale safely. As ICT Risk Oversight Lead , you will serve as a key representative of the second line of defense for cyber and technology risk, providing independent challenge and oversight across technology operations, major change initiatives, risk appetite monitoring, and cyber and IT governance. In this role, you will review whether the business is operating within our risk appetite, assess the effectiveness of technology-related controls, and support regulatory alignment. You will also help strengthen

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. 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. Okta's Identity Governance (OIG) organization is looking for a Staff Engineer to join our Identity Administration team — a team that is directly responsible for one of the most critical and visible workflows in enterprise identity: how employees request, approve, and gain access to the resources they need. Opportunity As a Staff Engineer on the OIG Identity Administration team, you will be involved in development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the development and evolution of our product features — spanning the across different identity entities and personas — and work collaboratively across engineering, product, and design to deliver features that are secure, scalable, and delightful to use. This is a role for someone who thinks in systems, leads with craft, and is energized by the challenge of building enterprise-grade software that millions of users depend on. This is a rare opportunity to join a team where your t

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. I 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. Okta's Identity Governance (OIG) organization is looking for a Senior Engineer to join our Identity Administration team — a team that is directly responsible for one of the most critical and visible workflows in enterprise identity: how employees request, approve, and gain access to the resources they need. Opportunity As a Senior Engineer on the OIG Identity Administration team, you will be involved in development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the development and evolution of our product features — spanning the across different identity entities and personas — and work collaboratively across engineering, product, and design to deliver features that are secure, scalable, and delightful to use. This is a role for someone who thinks in systems, leads with craft, and is energized by the challenge of building enterprise-grade software that millions of users depend on. This is a rare opportunity to

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. 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. Okta's Identity Governance (OIG) organization is looking for a Senior Engineer to join our Identity Administration team — a team that is directly responsible for one of the most critical and visible workflows in enterprise identity: how employees request, approve, and gain access to the resources they need. Opportunity As a Senior Engineer on the OIG Identity Administration team, you will be involved in development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the development and evolution of our product features — spanning the across different identity entities and personas — and work collaboratively across engineering, product, and design to deliver features that are secure, scalable, and delightful to use. This is a role for someone who thinks in systems, leads with craft, and is energized by the challenge of building enterprise-grade software that millions of users depend on. This is a rare opportunity to join a team whe