Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Own the commercial performance, strategy, pricing, roadmap, and go-to-market execution for Pearson’s Knowledge Suite and Pearson Live Training offerings. The role connects enterprise learning market insight, customer discovery, financial outcomes, learning quality, and AI-enabled transformation. Responsibilities include managing P&L, developing portfolio priorities, coordinating cross-functional teams, supporting sales and marketing, defining success metrics, and using learner and customer data to guide investment decisions.

Leads the design, implementation, and support of complex, scalable software components and distributed systems. Provides technical leadership through architecture decisions, mentoring, code and design reviews, troubleshooting, and engineering standards. Partners with product, quality, architecture, and DevOps teams on secure cloud-native solutions, CI/CD, observability, performance, releases, and platform modernization. Participates in hiring and communicates technical risks and tradeoffs to stakeholders.

Lead the design, development, and architecture of scalable Salesforce solutions using Apex, Lightning Web Components, Flows, integrations, Agentforce, and Salesforce Data Cloud. Responsibilities include AI agent architecture, data ingestion and activation, security and governance, performance optimization, CI/CD support, code reviews, mentoring, troubleshooting, and translating business requirements into technical designs.

Owns a portfolio of midsize and large school district accounts, leading implementation, onboarding, adoption, account health, business reviews, risk recovery, and renewal-focused success strategies. The role builds partner relationships, connects product usage and assessment impact data to customer goals, collaborates cross-functionally, and helps scale Pearson’s customer success processes. Travel of up to 30% is required, with remote-first flexibility.

Develop and review K-12 science assessment content, including test items, passages, performance tasks, specifications, blueprints, and test forms. Use AI tools to create and evaluate accessible educational content. Coordinate writers and educators, support customer meetings, collaborate with psychometricians and development teams, and contribute to large-scale assessment planning, review, and construction.

Analyzes and processes large-scale assessment datasets, maintains psychometric software and statistical code, troubleshoots programs, develops quality controls, coordinates data transfers, supports standard-setting studies, and communicates results. The role also improves workflows, mentors colleagues, supports project planning, and collaborates with psychometricians and technical teams.

Develops and reviews K–12 physical science assessment content, including test items, passages, performance tasks, simulations, specifications, blueprints, and test forms. Uses AI tools to create and evaluate educational content while ensuring quality and accessibility. Coordinates writers and educators, supports customer meetings, collaborates with psychometricians and development teams, and contributes to test construction and review. Some travel is required.

Own the MTSS product roadmap for universal screening and progress monitoring assessments. Lead product discovery, platform capability development, prioritization, commercialization, RFP support, sales enablement, and customer training. Collaborate with educators, districts, psychometrics, research, content, engineering, design, sales, and marketing teams to launch and improve digital assessment products. Use customer feedback, research, and product data to guide investment and adoption.

Lead product discovery, strategy, delivery, launch, and optimization for AI-powered learning experiences. Define roadmaps, requirements, success metrics, and responsible AI standards while partnering with engineering, design, data science, learning science, content, QA, legal, privacy, and business teams. Evaluate prompts, workflows, model quality, experimentation results, analytics, and user feedback to improve student outcomes, personalization, trust, accessibility, and product performance.

Lead design, validation, and continuous improvement of AI-assisted measurement and learning systems for K-12 assessments. Translate measurement intent into reproducible AI workflows, prototype AI-assisted content generation, ensure outputs meet validity, fairness, accessibility, and instructional standards, design validation and monitoring frameworks, partner with cross-functional teams (AI Science, Technology, Content), and contribute research, documentation, and thought leadership on intelligent assessment and learning systems.