Blackboard

Role Description We are looking for an intern to work across Blackboard during Summer 2026. You will sit at the intersection of product development and go-to-market, contributing to projects that will help create the new Blackboard. Paired with a dedicated supervisor for day-to-day guidance, you’ll have defined projects, opportunities to learn, network, and work independently. What You'll Do - Contribute to active workstreams across functions as we work fast to build what's next, including by: - Bringing your learner perspective into product work — your fluency with how students actually use Blackboard is an asset we want you to represent. - Using AI tools (Claude Code, Cursor, and similar) as a daily part of your workflow. - Participating in user research, feature evaluation, and feedback loops with current Blackboard users. - Attending meetings across teams. - Reflecting on your thoughts and observations. What You'll Get - Meaningful exposure to a company rebuilding a category — meetings, feedback, and professional development. - Dedicated leadership and regular check-ins. - End-to-end project ownership at intern scope, with real production impact. - A written performance evaluation at the end of the placement. Qualifications - Pursuing a bachelor's or master's degree at the time of the internship. - Demonstrated expertise using Blackboard as a learner — you have used the platform meaningfully in your own coursework and can speak to what works, what doesn't, and what today's students actually expect from a learning environment. - Ability to move fast, make good decisions under ambiguity, and ask questions to learn. - Strong backgrounds in technology and leadership. - Fluency in written and spoken English. Preferred Skills and Experience - Interest in staying on the bleeding edge of the AI ecosystem — Claude Code, Cursor, OpenAI Agent SDK, MCPs, and whatever comes next. - Familiarity with current debates around AI in education. Compensation - The expected hourly rate for this position is $20/hour. Requirements - 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. Company Description Blackboard 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 .

Role Description We are looking for an intern to work across Blackboard during Summer 2026. You will sit at the intersection of product development and go-to-market, contributing to projects that will help create the new Blackboard. Paired with a dedicated supervisor for day-to-day guidance, you’ll have defined projects, opportunities to learn, network, and work independently. What You'll Do - Contribute to active workstreams across functions as we work fast to build what's next, including by: - Bringing your learner perspective into product work — your fluency with how students actually use Blackboard is an asset we want you to represent. - Using AI tools (Claude Code, Cursor, and similar) as a daily part of your workflow. - Participating in user research, feature evaluation, and feedback loops with current Blackboard users. - Attending meetings across teams. - Reflecting on your thoughts and observations. What You'll Get - Meaningful exposure to a company rebuilding a category — meetings, feedback, and professional development. - Dedicated leadership and regular check-ins. - End-to-end project ownership at intern scope, with real production impact. - A written performance evaluation at the end of the placement. Qualifications - Pursuing a bachelor's or master's degree at the time of the internship. - Demonstrated expertise using Blackboard as a learner — you have used the platform meaningfully in your own coursework and can speak to what works, what doesn't, and what today's students actually expect from a learning environment. - Ability to move fast, make good decisions under ambiguity, and ask questions to learn. - Strong backgrounds in technology and leadership. - Fluency in written and spoken English. Preferred Skills and Experience - Interest in staying on the bleeding edge of the AI ecosystem — Claude Code, Cursor, OpenAI Agent SDK, MCPs, and whatever comes next. - Familiarity with current debates around AI in education. Benefits - The expected hourly rate for this position is $20/hour. Company Description Blackboard 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 .

Technical Lead/Architect Remote - United States About the Role We'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 — we're building something new. We use Claude Code, Cursor, and AI-assisted tooling to generate the majority of our code. Our engineers are architects, reviewers, and product thinkers — people who direct AI coding agents effectively rather than writing every line by hand. As Technical Lead, you set this culture. You will establish the norms, the workflows, and the standards for how AI-native development actually works at scale on a small team. The person we're looking for is excited by this model, not threatened by it. You are the technical leader. You will design, architect, and build the core system — a stateful, multi-layer architecture spanning data ingestion, decision logic, and AI-powered delivery — and recruit a small senior team to build alongside you. This is a builder role first. If you're looking to step into a seat where you primarily direct others, this isn't the right fit. We need someone who still loves building — and is exceptional at it. You will own the full technical vision and be accountable for it. What You'll Build Core Intelligence Architecture - A multi-layer system where each layer is decoupled, auditable, and independently evolvable - A persistent learner state model built to reason across complex, longitudinal user data - A rules-based decision layer where logic is explicit and transparent — every recommendation can be explained Data & Integration Layer - Event-driven pipelines that translate real-time platform activity into structured, reliable signals - APIs that connect the intelligence layer to the user-facing product - LMS integration for real-time data ingestion, designed to scale across platforms over time AI & Agent Architecture - A multi-agent system backed by shared state — precision-bounded interventions, not open-ended AI responses - Prompt engineering and guardrail systems that keep agent behavior auditable and aligned - Observability infrastructure so every system decision can be monitored, debugged, and improved Engineering Culture & Team - Establish an AI-native development culture: AI tools as the default, human judgment as the filter - Weekly ship cycles, high observability, and a bias toward iteration over speculation - Hire and mentor a small senior team (2–3 Product Engineers) as the product scales from v1 to v2 - Stay on the bleeding edge of the AI ecosystem — Claude Code, Cursor, OpenAI Agent SDK, MCPs, and whatever comes next. Make the call on what we adopt, when, and why. That judgment sets the standard for the whole team. The Right Person You believe that intelligence should be deterministic where it can be, and generative where it should be. You're skeptical of LLMs as decision-makers but excited about them as expression engines. You've seen what happens when AI systems are unauditable — and you've built against that failure mode. You're energized by constraints: small team, big surface area, real stakes. You move fast, accept imperfection in v1, and know that iteration is how great systems are built. You want the work to matter. You think in systems, not screens. You hold strong opinions, loosely held — and you care more about impact than credit. Please include a link to your portfolio/GitHub as part of your application. Required Skills and Experience - Proven track record shipping complex, stateful AI or data-driven systems in production — not just prototypes - Fluency in LLM application development: orchestration, RAG pipelines, prompt engineering, guardrail design - Experience designing multi-agent systems with shared state, async architectures, and observability infrastructure - Strong architectural judgment — you understand why rules should decide and AI should assist, and you build accordingly - Demonstrated ability to ship at startup velocity: high ownership, weekly cycles, bias toward action - You work natively with AI coding tools (Cursor, Claude Code, or equivalent) — this is how you actually build, not a checkbox - Experience recruiting and mentoring engineers - Fluency in written and spoken English Preferred Skills and Experience - Prior experience at an AI-native startup or as a technical co-founder - Familiarity with LMS ecosystems: LTI 1.3, xAPI/SCORM, platform APIs - Background in domains where explainability and institutional trust are non-negotiable (EdTech, health tech, fintech) About Blackboard Blackboard 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 $169,400 - $250,000. 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

AI Product Engineer Remote - United States About the Role We'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 — we're building something new. AI coding tools — Claude Code, Cursor, and similar — 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 — 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 Own Product Surfaces - Student-facing product interfaces — the core user experience that learners interact with daily - Real-time features that surface AI intelligence in ways that feel immediate and useful, not mechanical - Responsive, performant UI built on a shared component library Backend & AI Integration - API routes and backend services connecting the user interface to the intelligence and data layers - AI orchestration integration: streaming responses, agent outputs, structured recommendations in context - Event-driven ingestion pipelines that translate platform activity into structured, reliable signals Data & Infrastructure - Storage architecture and schema design for persistent user state — built to evolve as the product grows - Deployment infrastructure, CI/CD, and environment management — no dedicated DevOps to hand off to - Data access controls and audit logging that satisfy institutional security and compliance requirements Quality & Velocity - End-to-end feature ownership from spec to production — including testing, monitoring, and iteration - Active use of AI-assisted development tooling to maintain high output without sacrificing code quality - Contribution to shared component libraries and codebase standards as the team grows - Stay on the bleeding edge of the AI ecosystem — 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) — not as a curiosity, but as your actual development workflow - You've shipped products to real users — full-stack, with real accountability for whether they work - You're comfortable across the stack: React/Next.js/TypeScript on the frontend, Node.js or Python on the backend, PostgreSQL for data - You'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 ticket - You can move fast, make good decisions under ambiguity, and leave the codebase better than you found it - Fluency in written and spoken English Preferred Skills and Experience - Experience with event-driven data pipelines, vector stores, or RAG pipeline design - Familiarity with infrastructure and deployment (CI/CD, managed services, observability tooling) - Background in consumer-facing products where user behavior and engagement genuinely matter About Blackboard Blackboard 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 - $210,000. 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

Product & Design Lead Remote - United States About the Role We'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 — we're building something new. Ideas start in an LLM — clarifying intent, surfacing constraints, drafting requirements. Prototyping happens in code, using tools like Claude Code and Cursor, before it ever reaches high-fidelity design. Figma is for systems and polish, not for exploration. We need a Product & Design Lead who can operate in this model fluently and be the 'founding' product and design leader. You will define the user experience, prototype interactions directly in code with AI tools, and work hand-in-hand with engineering to ship. You will own the full product vision from the user's perspective: how intelligence surfaces in ways that feel clear and motivating, and how design decisions translate directly into behavior change. This is a maker role first. If you're looking to primarily direct others, this isn't the right fit. We need someone who still loves designing and building — and is exceptional at it. What You'll Build User-Facing Experience - A proactive, daily user experience that surfaces the right information at the right moment — without cognitive overload - Interfaces that make AI-driven recommendations feel clear, trustworthy, and actionable — not robotic - A design system built for speed and consistency across multiple product surfaces Engagement & Motivation Layer - Progress and momentum mechanics grounded in learning science — habit formation, not dark patterns - Visual systems that communicate state and trajectory in ways users actually understand and act on Product Strategy & Roadmap - Own the product roadmap from v1 through v2 in close partnership with the technical and scientific leads - Define success metrics for the user experience and build feedback loops that inform iteration - Translate evidence-based principles into product decisions — not as a constraint, but as a competitive advantage Design Infrastructure - Build and maintain a component library that enables the engineering team to move fast without breaking consistency - Establish a design culture that is opinionated, user-first, and evidence-informed Why This Role Define the product experience from scratch. Real autonomy and real users: your work ships to people who depend on it, with a fast and visible feedback loop A team operating at the intersection of AI, science, and institutional infrastructure — with distribution advantages no independent product can match The Right Person You believe great design isn't decoration — it's the mechanism by which intelligence becomes useful. You're energized by the challenge of making something complex feel effortless. You know the difference between a feature that looks good in a demo and one that actually changes behavior. You're skeptical of engagement for engagement's sake. You'd rather design one interaction that genuinely helps a user than ten that just generate clicks. You think in systems, not screens. You hold strong opinions, loosely held — and you care more about impact than credit. Please include a link to your portfolio as part of your application. Required Skills and Experience - You've shipped consumer-facing products that real users actually love — and you have a portfolio that proves it - You can prototype directly in code using AI tools (Cursor, Claude Code, or equivalent) — Figma isn't the starting point for exploration - Strong visual and interaction design craft — you can produce high-fidelity work yourself, not just direct others - Product thinking that goes beyond UI — you understand retention, habit formation, and behavior change - You've worked in deeply integrated cross-functional teams where design and engineering aren't separated by handoffs - You use AI tools actively in your current workflow and can articulate how they've changed how you work - Fluency in written and spoken English Preferred Skills and Experience - Experience designing AI-powered or data-driven consumer products - Background in domains where behavior change and motivation design matter (EdTech, health tech, fitness tech) - Familiarity with learning science principles — spaced repetition, metacognition, cognitive load - Prior experience as a founding or solo designer/PM at an early-stage company About Blackboard Blackboard 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 - $165,000. 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

Role Description The ideal IT Applications Support candidate should have a strong background in supporting a Microsoft Dynamics 365 Finance and Operations (ERP) environment with the skillset to support various modules across the enterprise system. The candidate should have knowledge to help build out requirements in the application to help facilitate the implementation of small projects with the ERP. This position will help gather, document, and review business requirements, and will work with a team of experienced Enterprise Architects, Technical Architects, other Developers, and the Quality Assurance (QA) team. This position will have an in-depth understanding of unique business needs that are required to be processed within the D365 environment. The candidate will need to have excellent written and oral communication skills with all levels of business stakeholders. Responsibilities - Interfacing daily with the Finance, Accounting and Procurement teams in support of Microsoft D365 Finance and Operations (ERP) - Taking ownership of issue resolution and communicating status updates on reported bugs from the business teams - Coordinating between business teams and developers on code-related enhancements, including requirements gathering, testing, and deployment - Designing, building, and implementing system and data configuration enhancements - Supporting data quality maintenance that involves liaising with business teams, data stewards, auditing and reporting on data quality, and making core data or configuration changes as needed - Proactively informing users of best practices to enhance productivity, improve efficiency, and increase general knowledge of Finance Automation applications - Driving and increasing user adoption and ensuring satisfaction, including delivering training and support to users - Staying current with periodic Microsoft D365 Finance Operations releases and leveraging the updates to provide optimized solutions for the business while maintaining cost effectiveness, system stability, and reliability Qualifications - Bachelor’s degree in Accounting, Computer Science, Business Administration or equivalent work experience - 1-2 years of experience in operational support for Microsoft D365 Finance Operations (ERP) - Strong understanding of how automation applications can be leveraged to improve business processes and the bottom line - Expert functional understanding of systems, databases/database terminology - Proficiency in Microsoft Office applications – must be very capable with Excel (performing pivot tables, lookups, etc.) - Clear and articulate oral/written communication skills - Self-motivated to prioritize and execute complex tasks with time-sensitive deadlines - Proven analytical, evaluative, and problem-solving abilities - Strong team and customer service orientation - Fluency in written and spoken English at CEF B2 level or above Preferred Skills and Experience - 3-4 years of experience in Finance or Accounting, using Microsoft D365 Finance Operations (ERP) - Proficient in using Microsoft Power BI Premium to develop and deliver reports and dashboards per stakeholder requirements - Experience with interfaces to other applications such as Salesforce, Kantata and Azure integrations - Experience working in Agile teams, leveraging Azure DevOps for user story and bug tracking - Experience at a technology company and/or in education Company Description Blackboard 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.

Technical Architect, Principal Remote - United States About the Role We're a small, funded internal startup within Blackboard building a new AI-native product. This is not a feature team, and it's not an enhancement to an existing product — we're building something categorically new, with full access to institutional infrastructure, platform data, and a direct mandate from leadership to ship in 2026. This team operates on a fundamentally different development model. We use Claude Code, Cursor, and AI-assisted tooling to generate the majority of our code. Our engineers are architects, reviewers, and product thinkers — people who direct AI coding agents effectively rather than writing every line by hand. As Technical Lead, you set this culture. You will establish the norms, the workflows, and the standards for how AI-native development actually works at scale on a small team. The person we're looking for is excited by this model, not threatened by it. You are the founding technical leader. You will design, architect, and build the core system — a stateful, multi-layer architecture spanning data ingestion, decision logic, and AI-powered delivery — and recruit a small senior team to build alongside you. This is a builder role first. If you're looking to step into a seat where you primarily direct others, this isn't the right fit. We need someone who still loves building — and is exceptional at it. You will own the full technical vision and be accountable for it. What You'll Build Core Intelligence Architecture - A multi-layer system where each layer is decoupled, auditable, and independently evolvable - A persistent learner state model built to reason across complex, longitudinal user data - A rules-based decision layer where logic is explicit and transparent — every recommendation can be explained Data & Integration Layer - Event-driven pipelines that translate real-time platform activity into structured, reliable signals - APIs that connect the intelligence layer to the user-facing product - LMS integration for real-time data ingestion, designed to scale across platforms over time AI & Agent Architecture - A multi-agent system backed by shared state — precision-bounded interventions, not open-ended AI responses - Prompt engineering and guardrail systems that keep agent behavior auditable and aligned - Observability infrastructure so every system decision can be monitored, debugged, and improved Engineering Culture & Team - Establish an AI-native development culture: AI tools as the default, human judgment as the filter - Weekly ship cycles, high observability, and a bias toward iteration over speculation - Hire and mentor a small senior team (2–3 Product Engineers) as the product scales from v1 to v2 - Stay on the bleeding edge of the AI ecosystem — Claude Code, Cursor, OpenAI Agent SDK, MCPs, and whatever comes next. Make the call on what we adopt, when, and why. That judgment sets the standard for the whole team. The Right Person You believe that intelligence should be deterministic where it can be, and generative where it should be. You're skeptical of LLMs as decision-makers but excited about them as expression engines. You've seen what happens when AI systems are unauditable — and you've built against that failure mode. You're energized by constraints: small team, big surface area, real stakes. You move fast, accept imperfection in v1, and know that iteration is how great systems are built. You want the work to matter. You think in systems, not screens. You hold strong opinions, loosely held — and you care more about impact than credit. Required Skills and Experience - At least 12 years of professional experience - Proven track record shipping complex, stateful AI or data-driven systems in production — not just prototypes - Fluency in LLM application development: orchestration, RAG pipelines, prompt engineering, guardrail design - Experience designing multi-agent systems with shared state, async architectures, and observability infrastructure - Strong architectural judgment — you understand why rules should decide and AI should assist, and you build accordingly - Demonstrated ability to ship at startup velocity: high ownership, weekly cycles, bias toward action - You work natively with AI coding tools (Cursor, Claude Code, or equivalent) — this is how you actually build, not a checkbox - Experience recruiting and mentoring engineers - Fluency in written and spoken English Preferred Skills and Experience - Prior experience at an AI-native startup or as a technical co-founder - Familiarity with LMS ecosystems: LTI 1.3, xAPI/SCORM, platform APIs - Background in domains where explainability and institutional trust are non-negotiable (EdTech, health tech, fintech) About Blackboard Blackboard 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 $169,400 - $250,000. 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. 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

AI Engineer, Staff Remote - United States About the Role We're a small, funded internal startup within Blackboard building a new AI-native product. This is not a feature team, and it's not an enhancement to an existing product — we're building something categorically new, with full access to institutional infrastructure, platform data, and a direct mandate from leadership to ship in 2026. This isn't a traditional engineering team. AI coding tools — Claude Code, Cursor, and similar — 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 — 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 Own Product Surfaces - Student-facing product interfaces — the core user experience that learners interact with daily - Real-time features that surface AI intelligence in ways that feel immediate and useful, not mechanical - Responsive, performant UI built on a shared component library Backend & AI Integration - API routes and backend services connecting the user interface to the intelligence and data layers - AI orchestration integration: streaming responses, agent outputs, structured recommendations in context - Event-driven ingestion pipelines that translate platform activity into structured, reliable signals Data & Infrastructure - Storage architecture and schema design for persistent user state — built to evolve as the product grows - Deployment infrastructure, CI/CD, and environment management — no dedicated DevOps to hand off to - Data access controls and audit logging that satisfy institutional security and compliance requirements Quality & Velocity - End-to-end feature ownership from spec to production — including testing, monitoring, and iteration - Active use of AI-assisted development tooling to maintain high output without sacrificing code quality - Contribution to shared component libraries and codebase standards as the team grows - Stay on the bleeding edge of the AI ecosystem — Claude Code, Cursor, OpenAI Agent SDK, MCPs, and whatever comes next. When a better way to build exists, find it and bring it in. Required Skills and Experience - At least 8 years of professional experience - You work natively with AI coding tools (Cursor, Claude Code, or equivalent) — not as a curiosity, but as your actual development workflow - You've shipped products to real users — full-stack, with real accountability for whether they work - You're comfortable across the stack: React/Next.js/TypeScript on the frontend, Node.js or Python on the backend, PostgreSQL for data - You'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 ticket - You can move fast, make good decisions under ambiguity, and leave the codebase better than you found it - Fluency in written and spoken English Preferred Skills and Experience - Experience with event-driven data pipelines, vector stores, or RAG pipeline design - Familiarity with infrastructure and deployment (CI/CD, managed services, observability tooling) - Background in consumer-facing products where user behavior and engagement genuinely matter About Blackboard Blackboard 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 - $210,000. 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. 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.

Product Design, Principal Remote - United States About the Role We're a small, funded internal startup within Blackboard building a new AI-native product. This is not a feature team, and it's not an enhancement to an existing product — we're building something categorically new, with full access to institutional infrastructure, platform data, and a direct mandate from leadership to ship in 2026. Product development here works differently than anywhere you've probably worked. Ideas start in an LLM — clarifying intent, surfacing constraints, drafting requirements. Prototyping happens in code, using tools like Claude Code and Cursor, before it ever reaches high-fidelity design. Figma is for systems and polish, not for exploration. If you've been wishing product and design worked more like engineering, this is that team. We need a Product & Design Lead who can operate in this model fluently — not someone we need to convince it's worth learning. You are the founding product and design leader. This is not a strategy job. You will define the user experience, prototype interactions directly in code with AI tools, and work hand-in-hand with engineering to ship. You will own the full product vision from the user's perspective: how intelligence surfaces in ways that feel clear and motivating, and how design decisions translate directly into behavior change. This is a maker role first. If you're looking to primarily direct others, this isn't the right fit. We need someone who still loves designing and building — and is exceptional at it. What You'll Build User-Facing Experience - A proactive, daily user experience that surfaces the right information at the right moment — without cognitive overload - Interfaces that make AI-driven recommendations feel clear, trustworthy, and actionable — not robotic - A design system built for speed and consistency across multiple product surfaces Engagement & Motivation Layer - Progress and momentum mechanics grounded in learning science — habit formation, not dark patterns - Visual systems that communicate state and trajectory in ways users actually understand and act on Product Strategy & Roadmap - Own the product roadmap from v1 through v2 in close partnership with the technical and scientific leads - Define success metrics for the user experience and build feedback loops that inform iteration - Translate evidence-based principles into product decisions — not as a constraint, but as a competitive advantage Design Infrastructure - Build and maintain a component library that enables the engineering team to move fast without breaking consistency - Establish a design culture that is opinionated, user-first, and evidence-informed Why This Role Define the product experience from scratch — no existing design language to inherit or work around Real autonomy and real users: your work ships to people who depend on it, with a fast and visible feedback loop A team operating at the intersection of AI, science, and institutional infrastructure — with distribution advantages no independent product can match The Right Person You believe great design isn't decoration — it's the mechanism by which intelligence becomes useful. You're energized by the challenge of making something complex feel effortless. You know the difference between a feature that looks good in a demo and one that actually changes behavior. You're skeptical of engagement for engagement's sake. You'd rather design one interaction that genuinely helps a user than ten that just generate clicks. You think in systems, not screens. You think in systems, not screens. You hold strong opinions, loosely held — and you care more about impact than credit. Required Skills and Experience - At least 12 years of professional experience - You've shipped consumer-facing products that real users actually love — and you have a portfolio that proves it - You can prototype directly in code using AI tools (Cursor, Claude Code, or equivalent) — Figma isn't the starting point for exploration - Strong visual and interaction design craft — you can produce high-fidelity work yourself, not just direct others - Product thinking that goes beyond UI — you understand retention, habit formation, and behavior change - You've worked in deeply integrated cross-functional teams where design and engineering aren't separated by handoffs - You use AI tools actively in your current workflow and can articulate how they've changed how you work - Fluency in written and spoken English Preferred Skills and Experience - Experience designing AI-powered or data-driven consumer products - Background in domains where behavior change and motivation design matter (EdTech, health tech, fitness tech) - Familiarity with learning science principles — spaced repetition, metacognition, cognitive load - Prior experience as a founding or solo designer/PM at an early-stage company About Blackboard Blackboard 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 - $165,000. 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. 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.

Account Executive Remote - United States About the Role Government Account Executives are responsible for new customer acquisition exclusively in the federal, state, and local government markets. They meet and often exceed sales objectives of the assigned territory by promoting and selling the Blackboard suite of products and services through a consultative selling approach that effectively aligns the products to customer mission objectives while demonstrating a quantifiable value proposition to the customer. Responsibilities - Managing a complex, enterprise solution sales with a 6 to 18 month purchasing cycle as well as moving the sale through the entire sales process - Taking a lead role in the RFP/sales process - Owning the client relationship post-sale with the help of a Customer Success Manager - Making prospecting a part of the regular routine and listening to a prospect’s needs and goals and matching an appropriate Blackboard offering as well as targeting and closing “green-field” accounts - Creating and implementing a market development plan for the designated territory and knowing all Blackboard Partner relationships including systems integrators, small businesses and channel partners - Staying well-informed about current industry trends and being able to talk intelligently about the training/learning (including edtech) industry - Effectively using sales tools including Salesforce to manage outbound, pipeline and forecast; bid boards, market data, and open source data and AI to support prospecting - Preparing written presentations, proposals, reports, and price quotes - Creating pipeline through industry events, product seminars, and trade shows - Leading all aspects of the sales process including channel activity and contract negotiations and being comfortable working with GSA and similar contract vehicles - Effectively and efficiently employing Blackboard human capital at appropriate stages in the sales cycle while defining and maintaining a sales plan and executing against it - Developing effective relationships with Marketing, Product Management, Consulting Services, Channel, Renewals, and other departments as needed - This role requires approximately 75% travel Required Skills and Experience - At least 5 years of experience in direct, complex solution software sales in the Federal government market with SaaS offerings - Success in selling FedRAMP and IL4 solutions - Proficiency in prospecting and developing a greenfield; proven success building a pipeline, moving opportunities through the sales cycle, and proposing, presenting, and discussing solutions with decision-makers - Experienced in leveraging channel and other partners to meet prospect functionality and/or procurement requirements - Ability to craft a solution with appropriate products and services that meets business goals based on client discussions - Fluency in written and spoken English - US Citizen Preferred Skills and Experience - Knowledge of the eLearning/training/education industry - Willingness to perform market development initiatives About Blackboard Blackboard 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 ($95,600 - $115,000). The range reflects base salary only and does not include additional compensation such as sales incentives or benefits. Placement within the pay range will depend on a variety of factors, such as experience, skills, internal parity, and location. 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.