AI Product Engineer
ProductRemote,
United States
Description
AI Product EngineerRemote - United States About the RoleWe're a small team within Blackboard building a new AI-native product. This is not a feature team, and it's not an enhancement to an existing product β we're building something new. AI coding tools β Claude Code, Cursor, and similar β generate the majority of our code. Our engineers are architects, reviewers, and product thinkers: people who know how to direct AI development agents effectively, ship features end-to-end and make judgment calls when the requirements are still evolving. On a team this small, there are no handoffs. The person who designs a feature ships it. The person who builds the data pipeline also builds the product surface that consumes it. We're looking for builders who are energized by that scope, not overwhelmed by it. Everyone on the engineering team owns features end-to-end β from the data pipeline to the AI orchestration layer to the student-facing interface. The work varies by the week, and the surface area is large. What You'll OwnProduct SurfacesStudent-facing product interfaces β the core user experience that learners interact with dailyReal-time features that surface AI intelligence in ways that feel immediate and useful, not mechanicalResponsive, performant UI built on a shared component library Backend & AI IntegrationAPI routes and backend services connecting the user interface to the intelligence and data layersAI orchestration integration: streaming responses, agent outputs, structured recommendations in contextEvent-driven ingestion pipelines that translate platform activity into structured, reliable signals Data & InfrastructureStorage architecture and schema design for persistent user state β built to evolve as the product growsDeployment infrastructure, CI/CD, and environment management β no dedicated DevOps to hand off toData access controls and audit logging that satisfy institutional security and compliance requirements Quality & VelocityEnd-to-end feature ownership from spec to production β including testing, monitoring, and iterationActive use of AI-assisted development tooling to maintain high output without sacrificing code qualityContribution to shared component libraries and codebase standards as the team growsStay on the bleeding edge of the AI ecosystem β Claude Code, Cursor, OpenAI Agent SDK, MCPs, and whatever comes next. When a better way to build exists, find it and bring it in. Please include a link to your portfolio/GitHub as part of your application. Required Skills and Experience You work natively with AI coding tools (Cursor, Claude Code, or equivalent) β not as a curiosity, but as your actual development workflowYou've shipped products to real users β full-stack, with real accountability for whether they workYou're comfortable across the stack: React/Next.js/TypeScript on the frontend, Node.js or Python on the backend, PostgreSQL for dataYou've integrated LLM APIs or built AI-powered features in production (streaming, structured outputs, agent patterns)Strong product instincts: you notice when something feels off in the user experience and you fix it, even if it wasn't in your ticketYou can move fast, make good decisions under ambiguity, and leave the codebase better than you found itFluency in written and spoken English Preferred Skills and Experience Experience with event-driven data pipelines, vector stores, or RAG pipeline designFamiliarity with infrastructure and deployment (CI/CD, managed services, observability tooling)Background in consumer-facing products where user behavior and engagement genuinely matter About BlackboardBlackboard advances teaching excellence and unlocks the full potential of technology to deliver meaningful outcomes. We empower institutions to deepen connections between educators and learners, inspire engagement, and drive long-term academic success across the full learner journey. For more information, please visit www.blackboard.com. The expected salary range for this position is $154,000 - $200,000. The range reflects base salary only and does not include additional compensation such as company bonus or benefits. Placement within the pay range will depend on a variety of factors, such as experience, skills, internal parity, and location. Candidates must be legally authorized to work in the country where the role is based at the time of hire and must maintain that authorization for the duration of employment. The company does not provide visa sponsorship or immigration support for this position. This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time. Blackboard is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor. #LI-JO1
United States
Description
AI Product EngineerRemote - United States About the RoleWe're a small team within Blackboard building a new AI-native product. This is not a feature team, and it's not an enhancement to an existing product β we're building something new. AI coding tools β Claude Code, Cursor, and similar β generate the majority of our code. Our engineers are architects, reviewers, and product thinkers: people who know how to direct AI development agents effectively, ship features end-to-end and make judgment calls when the requirements are still evolving. On a team this small, there are no handoffs. The person who designs a feature ships it. The person who builds the data pipeline also builds the product surface that consumes it. We're looking for builders who are energized by that scope, not overwhelmed by it. Everyone on the engineering team owns features end-to-end β from the data pipeline to the AI orchestration layer to the student-facing interface. The work varies by the week, and the surface area is large. What You'll OwnProduct SurfacesStudent-facing product interfaces β the core user experience that learners interact with dailyReal-time features that surface AI intelligence in ways that feel immediate and useful, not mechanicalResponsive, performant UI built on a shared component library Backend & AI IntegrationAPI routes and backend services connecting the user interface to the intelligence and data layersAI orchestration integration: streaming responses, agent outputs, structured recommendations in contextEvent-driven ingestion pipelines that translate platform activity into structured, reliable signals Data & InfrastructureStorage architecture and schema design for persistent user state β built to evolve as the product growsDeployment infrastructure, CI/CD, and environment management β no dedicated DevOps to hand off toData access controls and audit logging that satisfy institutional security and compliance requirements Quality & VelocityEnd-to-end feature ownership from spec to production β including testing, monitoring, and iterationActive use of AI-assisted development tooling to maintain high output without sacrificing code qualityContribution to shared component libraries and codebase standards as the team growsStay on the bleeding edge of the AI ecosystem β Claude Code, Cursor, OpenAI Agent SDK, MCPs, and whatever comes next. When a better way to build exists, find it and bring it in. Please include a link to your portfolio/GitHub as part of your application. Required Skills and Experience You work natively with AI coding tools (Cursor, Claude Code, or equivalent) β not as a curiosity, but as your actual development workflowYou've shipped products to real users β full-stack, with real accountability for whether they workYou're comfortable across the stack: React/Next.js/TypeScript on the frontend, Node.js or Python on the backend, PostgreSQL for dataYou've integrated LLM APIs or built AI-powered features in production (streaming, structured outputs, agent patterns)Strong product instincts: you notice when something feels off in the user experience and you fix it, even if it wasn't in your ticketYou can move fast, make good decisions under ambiguity, and leave the codebase better than you found itFluency in written and spoken English Preferred Skills and Experience Experience with event-driven data pipelines, vector stores, or RAG pipeline designFamiliarity with infrastructure and deployment (CI/CD, managed services, observability tooling)Background in consumer-facing products where user behavior and engagement genuinely matter About BlackboardBlackboard advances teaching excellence and unlocks the full potential of technology to deliver meaningful outcomes. We empower institutions to deepen connections between educators and learners, inspire engagement, and drive long-term academic success across the full learner journey. For more information, please visit www.blackboard.com. The expected salary range for this position is $154,000 - $200,000. The range reflects base salary only and does not include additional compensation such as company bonus or benefits. Placement within the pay range will depend on a variety of factors, such as experience, skills, internal parity, and location. Candidates must be legally authorized to work in the country where the role is based at the time of hire and must maintain that authorization for the duration of employment. The company does not provide visa sponsorship or immigration support for this position. This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time. Blackboard is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor. #LI-JO1