23 jobs found

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.