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
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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
About the job Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species. We are a small, self-funded team focused on design, human infrastructure, and AI. Most of the products we build don't have obvious precedents. We need a QA practice that helps us understand how they'll behave in the real world, identify problems early, and ship with confidence. You'll work closely with product, design, and engineering throughout development, helping teams identify problems early and ship with confidence. This isn't a role where you'll spend your days executing checklists. We expect you to think critically about how products behave, investigate difficult issues, improve how we test software, and go deep on the projects that matter most. If your favorite part of the job is making products noticeably better—and helping everyone around you build with more confidence—you'll probably enjoy it here. What you'll do Partner closely with product, design, and engineering throughout the development process. Stay close to the work by leading testing efforts on our most important product initiatives. Go deep on difficult problems—whether that's investigating a difficult bug, identifying edge cases, improving test coverage, or helping a team understand how a product behaves in the real world. Design thoughtful test plans and identify issues before they reach users. Help improve how we test software through better tooling, automation, and testing practices. Reproduce issues, identify root causes, and verify fixes before release. You might be a fit if You've spent the last several years testing software people actually use. You enjoy understanding how products behave, not just whether they work. You're as comfortable investigating a subtle bug as you are thinking through an entire user flow. You work well with designers, engineers, and product managers. You care about quality and believe the best testing happens througho
As a Director, Enterprise Sales Engineering, you will lead a team of frontline leaders, driving account strategy, deal execution, operational excellence, and team development across your region. This is a strategic leadership role with regional impact within North America. You will act as a force multiplier by owning team and region performance, shaping execution standards, and partnering closely with Sales leadership to influence go to market strategy, improve outcomes, and scale impact beyond individual deals. 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: Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team. Develop and operationalize a repeatable formula and methodology that can scale across a large customer base, enabling Datadog to accelerate enterprise growth by illustrating to customers how Datadog’s observability and security solutions quickly, simply, and efficiently deliver measurable business outcomes especially in a world increasingly dominated by Agentic AI. Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities. Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression. Lead, coach, and develop a team of Sales Engineering leaders, driving performance, engagement, and long-term career growth through regular feedback and structured development. Hire and onboard top talent across ICs and manager-lev
As a Director, Enterprise Sales Engineering, you will lead a team of frontline leaders, driving account strategy, deal execution, operational excellence, and team development across your region. This is a strategic leadership role with regional impact within North America. You will act as a force multiplier by owning team and region performance, shaping execution standards, and partnering closely with Sales leadership to influence go to market strategy, improve outcomes, and scale impact beyond individual deals. 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: Own in-field execution at a regional level by taking an executive presence role in strategic and high-impact opportunities and providing senior-level stakeholder alignment and technical credibility alongside your team. Develop and operationalize a repeatable formula and methodology that can scale across a large customer base, enabling Datadog to accelerate enterprise growth by illustrating to customers how Datadog’s observability and security solutions quickly, simply, and efficiently deliver measurable business outcomes especially in a world increasingly dominated by Agentic AI. Partner confidently with senior Sales leadership on regional strategy, multi-quarter planning, annual capacity planning, and forecast alignment operating 2-3 quarters ahead to anticipate resourcing needs and business priorities. Oversee consistent, high-quality delivery across technical sales cycles in the region, including evaluations, customer engagements, and deal progression. Lead, coach, and develop a team of Sales Engineering leaders, driving performance, engagement, and long-term career growth through regular feedback and structured development. Hire and onboard top talent across ICs and manager-lev
Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or meetings. Your hiring manager can share more about this role’s hybrid or remote designation. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join our team... Join GoDaddy's Applied AI and Machine Learning team, where you'll help shape the future of how millions of small business owners leverage AI to grow and run their businesses. Our team develops machine learning models and generative AI solutions that directly influence revenue, customer experience, personalization, pricing, and business outcomes at scale. As a Staff Machine Learning Scientist, you'll operate with a high degree of autonomy, partner closely with engineers and product leaders, and drive innovative AI initiatives from concept to production in a fast-moving environment that values purposeful action and measurable impact. What you'll get to do... Lead the development and deployment of machine learning and generative AI
Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our In-Vehicle Team is looking for a Shift Supervisor to build a best in class AV operator team to successfully execute on our operational missions and meet Nuro’s challenging goals. As a Front Line manager, you will be responsible for hiring & onboarding operators, actively managing their growth & performance and leading continuous improvement processes and projects. You will work closely with cross functional stakeholders within operations and with other teams to ensure the team’s work remains a valuable part of the company’s metrics. About the Work People Management: Hiring & Onboarding: You will be responsible for running the interview process and successfully executing the onboarding for new hires in line with the plan. You will work closely with the L&D team to develop the interview & onboarding process and the grading rubric. People Development: You will be expected to lead and manage
Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our In-Vehicle Team is looking for a Shift Supervisor to build a best in class AV operator team to successfully execute on our operational missions and meet Nuro’s challenging goals. As a Front Line manager, you will be responsible for hiring & onboarding operators, actively managing their growth & performance and leading continuous improvement processes and projects. You will work closely with cross functional stakeholders within operations and with other teams to ensure the team’s work remains a valuable part of the company’s metrics. About the Work People Management: Hiring & Onboarding: You will be responsible for running the interview process and successfully executing the onboarding for new hires in line with the plan. You will work closely with the L&D team to develop the interview & onboarding process and the grading rubric. People Development: You will be expected to lead and manage
Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Our In-Vehicle Team is looking for a Shift Supervisor to build a best in class AV operator team to successfully execute on our operational missions and meet Nuro’s challenging goals. As a Front Line manager, you will be responsible for hiring & onboarding operators, actively managing their growth & performance and leading continuous improvement processes and projects. You will work closely with cross functional stakeholders within operations and with other teams to ensure the team’s work remains a valuable part of the company’s metrics. About the Work People Management: Hiring & Onboarding: You will be responsible for running the interview process and successfully executing the onboarding for new hires in line with the plan. You will work closely with the L&D team to develop the interview & onboarding process and the grading rubric. People Development: You will be expected to lead and manage
Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team We're looking for a Fullstack Software Engineer to join the Fleet Platform & Operations Tooling team. You'll build the internal tools and platform systems that Nuro's operations, engineering, and partner teams rely on to manage, monitor, and maintain our autonomous vehicle fleet. This is hands-on product engineering work at the intersection of fleet operations and software infrastructure. You'll own features end-to-end — from building responsive frontends that surface real-time vehicle and fleet data, to designing backend services that integrate with onboard systems, cloud infrastructure, and partner APIs. The systems you build will directly impact how reliably and efficiently Nuro operates vehicles on public roads. You'll report to the Technical Lead Manager for On-Road Experience. What You'll Do Design, build, and ship full-stack applications using React, TypeScript, and modern web development practices. Develop
Asana is looking for a Senior Product Designer to help shape the future of onboarding and user adoption in the age of AI. In this role, you’ll design intelligent, adaptive experiences that help new users quickly realize value through AI-powered workflows, guidance, and personalization. You’ll work at the intersection of product design, AI interaction design, and rapid product exploration, partnering closely with product managers, engineers, researchers, and data scientists to prototype, test, and evolve ideas quickly. We’re looking for a designer who is energized by ambiguity, excited about emerging AI capabilities, and eager to explore ideas collaboratively through making. This role is ideal for someone who thrives in fast-moving environments, loves using prototypes to think and communicate, is energized by experimentation and iterative learning, and is excited by a highly collaborative product development process where ideas evolve continuously across disciplines. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. About the design team We design the future of teamwork . Asana has a bold, ambitious mission: help humanity thrive by enabling the world’s teams to work together effortlessly. Our design team is at the heart of that mission. Asana Design is an inclusive and collaborative community. We’re a diverse group of designers from different backgrounds (product, brand and content design, design operations, producers, motion design, film, copywriting). We are a team that loves combining research, data insights, and peer feedback into a human-centered design process to produce designs that are core to
The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth. With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Role Overview We are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform. What you’ll do Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an Agile environment Drive strong engineering practices across code quality, documentation, release managem
The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth. With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in New York for our hybrid working model. Role Overview We are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform. We are looking to speak to candidates who are based in New York City, NY for our hybrid working model. What you’ll do Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an A
The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth. With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Role Overview We are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform. What you’ll do Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an Agile environment Drive strong engineering practices across code quality, documentation, release managem
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. The Technology, Data and Intelligence Team Message Okta’s Technology, Data and Intelligence (TDI) team delivers the systems, tools, and services that power internal operations across the company. From core infrastructure to enterprise platforms, we partner across functions to drive scale, reliability, and innovation through technology. The Senior Site Reliability Engineer Opportunity Reporting to the Manager, Site Reliability Engineering , this role will help build, improve, and maintain our cloud platform services by designing and implementing complex cloud-based engineering enablement systems. With a strong focus on automation, testing, and operational excellence, you will deliver foundational infrastructure capabilities that enable corporate engineering teams to operate securely, reliably, and at scale. What you'll be doing Secure Cloud Infrastructure & Pipelines: Design, build, and modernize scalable cloud environments and development tools while strictly enforcing security policies and standards for regulated environments. Cross-Functional Collaboration & Advocacy: Partner with software engineering teams to champion DevOps and SRE best practices, deliver excellent internal customer service, and actively contribute to Agile workflows (e.g., demos, architecture sessions). Technical Documentation & Operations: Create and maintain comprehensive technical documentation, including network diagrams, runbooks, and disaster recovery procedures to en
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