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. Senior Product Manager, Data Platform (India) Company Overview Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device, for any app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. Role Overview: Senior Product Manager, Data Platform As the Architect of Okta’s data-driven future, the Senior Product Manager for Data Platform orchestrates the evolution of our core data infrastructure, pipelines, and analytics capabilities. This role manages the critical tension between high-performance technical execution and the delivery of actionable business intelligence, translating high-volume identity event streams into strategic outcomes. You will serve as the essential bridge between our India-based engineering teams and a global suite of stakeholders, ensuring Okta's data remains a competitive differentiator and a cornerstone of trust for our customers. Key Responsibilities Orchestrate the long-term product vision and strategy for Okta’s data platform, ensuring infrastructure and analytics roadmaps align with the scale of the world’s identity traffic. Architect a robust API strategy and developer tooling framework to ensure data is seamlessly and securely consumed by services across the entire Okta ecosystem. Collaborate with India-base
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About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Intro : The Trends & Insights Engineering team builds the products that turn Pinterest's unique signal what hundreds of millions of people are planning, dreaming about, and shopping for into actionable intelligence for advertisers. As a Manager on this team, you'll lead the technical evolution of Pinterest Trends and Audience Insights into a unified, AI-powered insights platform that shapes how advertisers plan campaigns, allocate budget, and create content across the Pinterest Ads ecosystem.. What you’ll do: Lead and grow a team of engineers building Pinterest Trends, Audience Insights, and the next generation of AI-powered advertiser insights products. Translate the team's vision into a cohesive roadmap and delivery plan, sequencing key 2026 bets such as Trends Digest, Moments, Topics expansion, Product Attributes, and the aud
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of the fastest-growing commerce media businesses in the industry, connecting brands to a high-intent, on-the-move audience across Lyft's rider and driver networks. With proprietary first-party data spanning millions of rides and real-world consumer journeys, Lyft Ads offers advertisers a unique combination of targeting, context, and measurement that traditional platforms cannot replicate. We are building the future of mobility media — and we are looking for exceptional talent to help lead that charge. We are seeking a strategic, highly cross-functional leader to join Lyft Ads as our Sr. Product Marketing Manager for Measurement, Data & Audiences. This is a unique and high-impact role at the intersection of data commercialization, advanced measurement strategy, and go-to-market execution. As the direct commercial counterpart to our Ad Infrastructure Product Management team , you will translate back-end data signals, in-house attribution models, and reporting tools into compelling, market-facing solutions. You will own the strategy for how Lyft Ads packages and positions its first-party mobility data, validates performance through third-party measurement partners, and delivers trusted ROI clarity to brands and agencies. Additionally, you will lead the identification, evaluation, and commercialization of custom, bespoke data partnerships that unlock strategic value and incremental revenue streams for Lyft Ads. This role requires a rare blend of technical data literacy, commercial acumen, and operational execution. You will work closely with Product, Data Science, Engineering, Sales, and external partners to define how Lyft Ads goes to market and proves its value in the rapidly evolving commerce media landscape Responsibilities: Data Commercialization & Audience
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Ads is one of the fastest-growing commerce media businesses in the industry, connecting brands to a high-intent, on-the-move audience across Lyft's rider and driver networks. With proprietary first-party data spanning millions of rides and real-world consumer journeys, Lyft Ads offers advertisers a unique combination of targeting, context, and measurement that traditional platforms cannot replicate. We are building the future of mobility media — and we are looking for exceptional talent to help lead that charge. We are seeking a strategic, highly cross-functional leader to join Lyft Ads as our Sr. Product Marketing Manager for Measurement, Data & Audiences. This is a unique and high-impact role at the intersection of data commercialization, advanced measurement strategy, and go-to-market execution. As the direct commercial counterpart to our Ad Infrastructure Product Management team , you will translate back-end data signals, in-house attribution models, and reporting tools into compelling, market-facing solutions. You will own the strategy for how Lyft Ads packages and positions its first-party mobility data, validates performance through third-party measurement partners, and delivers trusted ROI clarity to brands and agencies. Additionally, you will lead the identification, evaluation, and commercialization of custom, bespoke data partnerships that unlock strategic value and incremental revenue streams for Lyft Ads. This role requires a rare blend of technical data literacy, commercial acumen, and operational execution. You will work closely with Product, Data Science, Engineering, Sales, and external partners to define how Lyft Ads goes to market and proves its value in the rapidly evolving commerce media landscape Responsibilities: Data Commercialization & Audience
About the Team The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the Role We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform. The nature of this role will be low volume, high difficulty. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement. In this role, you will: Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team. Proactively identify and implement opportunities to scale suppor
About the team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. The Ecosystem team builds and scales third-party integrations around ChatGPT and Codex. We work across product, engineering, partnerships, safety, legal, policy, and go-to-market to create integrations that are useful, trustworthy, and technically sound. About the role We’re looking for an Applied Deployment Engineer to help build and deepen ChatGPT integrations with third-party messaging platforms. The initial focus will be on partner work as well as future opportunities with other messaging apps around the world. This is a hands-on, partner-facing engineering role. You’ll work closely with external product and engineering teams to improve existing integrations, expand capabilities such as image generation, increase retention, and translate partner needs back into OpenAI’s product and engineering roadmap. You should be comfortable writing code daily, making changes across platform or monorepo surfaces when needed, and moving fluidly between technical discovery, product tradeoffs, prototyping, debugging, and executive-level communication. This role is best suited for a strong product-minded engineer with excellent communication skills, sound technical judgment, and the ability to work across cultures, time zones, and organizations. This role is based in our San Francisco office. 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: Partner with messenger app product and engineering teams to design ChatGPT-powered experiences that fit naturally into chat, group, contact, and app-tab surfaces. Deepen existing partner integrations, with an initial focus on improving user ex
About the Team The Technical Success team is responsible for ensuring developers and enterprises are successful in building scalable production applications with the OpenAI API platform. We guide and support customers to achieve maximum benefits, value, and adoption from deploying our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a technically savvy and business-minded AI Deployment Engineer to deeply partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner for collecting and delivering high fidelity feedback to Product and Research teams. This role is based in Tokyo, Japan. 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: Deeply embed with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale. Contribute to our open-source developer and enterprise resources. Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. Use your expertise i
About the Team The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the Role We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform. The nature of this role will be low volume, high difficulty. This role is based in San Francisco, CA. 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: Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team. Proactively iden
About the Team The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the Role We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform. The nature of this role will be low volume, high difficulty. This role is based in Dublin, Ireland. 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: Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team. Proactively identi
Data Engineering – Technical Lead About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the Role: This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment. For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies. Requirements: 4 to 8 years of experience in Big Data technologies. The position Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day. Brainstorm and create new platforms that can help in our quest to make available to cluster users in all shapes and forms, with low latency and horizontal scalability. Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion for real-time dash- boarding.Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake. Design & implement new components and various emerging technologies in Hadoop Eco- System, and successful execution of various projects. Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant! Skills that will help you succeed in this role: Fluent with Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc.Excellent progr
As TaylorMade continues to grow, the number and complexity of integrations are increasing. TaylorMade maintains a substantial number of data interfaces across multiple time zones, operating 24/7, many involving multi-step processes and connecting several major global applications. This ecosystem requires continuous monitoring, support, and enhancement. The Senior Software Engineer, Integration is responsible for the ongoing improvement and evolution of TaylorMade’s enterprise application integration (EAI) environment, including supporting processes, procedures, and technologies. The successful candidate will demonstrate expertise in delivering modern, high-performing, and secure business software systems using cutting-edge technologies and tools, including middleware, iPaaS, and cloud-based databases. This position is responsible for designing and building best-in-class application integration architectures and interfaces, leveraging both real-time and batch integration patterns. Essential Functions and Key Responsibilities: Participate in all aspects of high-level planning, design, development, and deployment of data integrations. Lead middleware and application interface activities, utilizing a strong EAI background to develop solutions. Design and architect ETL solutions for on-premise to on-premise, on-premise to cloud, and cloud-to-cloud scenarios. Participate in technical discussions and provide guidance and expertise for Informatica and related middleware and data architecture technologies. Ensure all interfaces and middleware components perform as expected and are proactively monitored and managed for availability and capacity. Employ strong problem-solving skills and a proactive attitude, taking full ownership of assign
The Best Players Need the Best People. The Graphics Operator is responsible for the live execution and creative development of insert graphics across all studio and remote productions at PGA TOUR Studios. This role requires technical expertise in broadcast graphics systems, precision under pressure, and a strong understanding of live sports workflows. The Graphics Operator ensures that all visual elements—from real-time scoring to branded content—are delivered with accuracy, consistency, and creative impact. QUALIFICATIONS Bachelor’s Degree or related technical education required. Minimum 3 years broadcast television or related experience at the regional to large market or network level. Experience with Chyron and Ross XPression, or similar platforms, including data integration and real-time graphics workflows. Strong understanding of live production timing, control room operations, and cue execution under pressure. Ability to build, edit, and manage graphic templates, lower thirds, and sponsor elements with editorial accuracy. Skilled in troubleshooting technical issues with graphics systems during live broadcasts. Excellent communication and collaboration skills with producers,
About the Team OpenAI’s User Operations team shepherds our customer’s adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a leader to build and scale our Support Engineering team, which will collaborate directly with our strategic enterprise accounts, our product and engineering teams, as well as our field teams to solve some of the most difficult technical problems faced by our customers. You will lead one of the best technical troubleshooting teams at OpenAI, and our customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. You will play an integral role in building knowledge within the team and be part of strategic initiatives for organizational and process improvements. Working directly with our most strategic customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI platform. This team will handle high difficulty situations and issues. The team will be global, providing 24x7 technical coverage for our customers. This will be an opportunity to build this new team from first principles - your leadership will determine the future of this organization. The ideal candidate will have a combination of technical capabilities mixed with strong leadership and systems building strength. This role is based in San Francisco, CA. We use a hybrid work model of 3 days
UI/UX Designer Projects often need the technical expertise of more than one person. Particle41 provides expert teams that embed directly into businesses for immediate impact and execution towards developing outstanding software. Our clients range from startups to small and medium-sized enterprises. As a UI/UX designer, you’ll work on a handful of digital products across the web and mobile. You’ll communicate with clients to help them understand their customers’ needs, and make design recommendations based on your findings. In This Role, You Will: Apply human-centered design principles to software creation. Develop concepts and prototypes for stakeholders. Iterate quickly on your designs in a lean, agile environment. Articulate design decisions and diplomatically navigate feedback. Conduct user research and analyze data to inform design decisions. Ensure brand and product cohesion by leveraging design systems. Requirements Gathering and Analysis Collaborate with designers, product managers, and other stakeholders to gather requirements and translate them into technical solutions. Participate in requirement analysis sessions to understand business needs and user requirements. Provide technical insights and recommendations during the requirements-gathering process. Agile Development Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews. Work closely with Agile teams to deliver software solutions on time and within scope. Adapt to changing priorities and requirements in a fast-paced Agile environment. Testing and Debugging Conduct thorough testing and debugging to ensure the reliability, security, and performance of applications. Write unit tests and validate the functionality of developed features and individual elements. Writing integration tests to ensure different elements within a given application function as intended and meet desired requirements. Identify and resolve software defects, c
Job Details: Job Description: The Role and Impact As a Semiconductor Manufacturing Engineer, you will play a pivotal role in supporting Intel's fabrication facilities through every stage of the product lifecycle. You will ensure the successful development and ramp of high-volume or technology development manufacturing processes by optimizing operations, driving continuous improvements, and resolving complex technical challenges. Your contributions will directly impact factory performance, enabling Intel's ability to innovate and achieve production excellence. Key Responsibilities -Define and implement decision-support tools, methodologies, and operational standards for sequences and processes. -Establish manufacturing requirements, assess technologies, and develop plans and supply chains to enable production. -Analyze current processes to identify improvement opportunities, correct deviations, and enhance efficiency. -Inspect machinery and tools, verify efficiency, and initiate corrective actions for deficiencies. -Analyze factory metrics, identify system enhancements, and drive implementation roadmaps. -Develop and troubleshoot factory reporting systems; collaborate with automation teams to build business systems for performance monitoring. -Partner with operations management, engineering, and automation stakeholders to align strategies with operational goals. -Assist Manufacturing Operations Managers in achieving output targets and resolving operational challenges. -Create and distribute manufacturing documentation for product design, configuration, and build requirements. -Define and drive automation systems and station controller capabilities aligned with product roadmaps. Qualifications: Minimum Qualifications - Bachelor's degree in a relevant technical or engineering field, such as
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