Blueprint

• Own the end-to-end execution of quantitative research projects, supporting stakeholders through the full research lifecycle—from survey design and programming to data analysis, reporting, and insight development. • Manage multiple projects simultaneously, ensuring high-quality deliverables, accurate data processing, and timely communication of project progress. • Develop survey questionnaires aligned with research objectives and business questions. • Apply survey design best practices, including question clarity, logical flow, and bias mitigation. • Program surveys using platforms such as Qualtrics, Decipher, or similar survey tools. • Conduct comprehensive quality assurance (QA) testing to ensure survey functionality and respondent experience. • Clean, validate, and prepare survey datasets for analysis. • Create research reports, presentations, and summaries that communicate key findings effectively.

• Manage a portfolio of commercial and small-to-medium business accounts. • Protect existing revenue while identifying opportunities for account expansion and new customer acquisition. • Drive year-over-year revenue growth through proactive account planning and customer engagement. • Build and maintain strong customer relationships to influence purchasing decisions and long-term adoption. • Own sales opportunities through the full lifecycle, from discovery and qualification to close. • Coordinate cross-functional stakeholders, partners, pricing resources, and support teams to accelerate deals. • Leverage available programs, incentives, and funding mechanisms to remove obstacles and move opportunities forward. • Deliver high-touch concierge support for strategic and high-value opportunities. • Support inbound and partner-generated opportunities while creating net-new demand through outbound prospecting. • Execute targeted outreach campaigns to identify and develop qualified sales opportunities. • Expand adoption within underpenetrated or inactive customer accounts. • Maintain a healthy sales pipeline and consistently achieve activity and revenue targets. • Serve as the central point of coordination between customers, partners, and internal teams. • Enable partners with sales support, deal guidance, and program knowledge. • Ensure effective co-selling motions and lead management processes. • Align customer and partner engagement strategies to maximize revenue opportunities. • Track pipeline performance, forecasting, and key sales metrics. • Provide feedback to improve sales programs, playbooks, incentives, and processes. • Support scalable sales initiatives, including AI-driven selling strategies and automation capabilities. • Identify sales process gaps and recommend improvements to increase efficiency and customer satisfaction.

• Design, develop, and maintain data architectures and schemas to support data ingestion from multiple operational and infrastructure systems. • Develop and maintain automated ETL/ELT processes for extracting, transforming, and loading data from diverse data sources. • Build and support API integrations, database queries, scripting solutions, and file-parsing methods to acquire device inventory and configuration-state data. • Normalize and standardize data across various platforms and vendor applications into a common data model. • Integrate data into enterprise telemetry, monitoring, reporting, and analytics platforms. • Design and optimize data pipelines to support compliance monitoring, change tracking, and operational analytics. • Implement and maintain moderately complex logical and physical database designs. • Create and maintain dashboards, reports, and data visualizations using real-world operational datasets. • Troubleshoot and resolve production data collection, integration, and quality issues. • Develop technical documentation, data schemas, interface specifications, and telemetry requirements. • Collaborate with internal stakeholders, subject matter experts, and external vendors to gather requirements and support project delivery. • Participate in project planning, design discussions, and weekly status reviews to track progress, risks, and blockers. • Support ongoing enhancements as new systems, applications, and data requirements are introduced.

• Drive the strategy, curation, optimization, and performance analysis of customer-facing digital content experiences across a suite of productivity and AI-powered products. • Blend content strategy, visual design evaluation, data analytics, experimentation, and stakeholder influence to ensure customers are presented with relevant, engaging, and high-quality content. • Use both quantitative insights and creative judgment to identify what resonates with users, inform content investments, guide experimentation efforts, and deliver recommendations.

• Responsible for building, engaging, and scaling a global community of educators, parents, and learners around a game-based learning platform. • Serve as the voice of the community, translating insights into actionable strategies that drive engagement, adoption, and long-term loyalty. • Work cross-functionally with marketing, product, and social teams to execute community initiatives, manage programs, and ensure the community experience remains inclusive, valuable, and aligned with audience needs. • Build and execute a community engagement strategy that supports a growing global audience. • Identify opportunities to expand community reach, improve engagement, and drive adoption. • Foster meaningful interactions through discussions, content, events, and direct engagement.

• Partner with engineering, operations, program management, and business stakeholders to understand objectives, define reporting requirements, and deliver analytics solutions that support informed decision-making. • Analyze large, complex datasets to identify trends, anomalies, performance gaps, risks, and opportunities for operational improvement. • Conduct data quality assessments, validation, and verification activities to ensure accuracy, completeness, consistency, and integrity across multiple data sources. • Design, implement, automate, and maintain scalable data collection, transformation, validation, and reporting processes. • Develop and maintain dashboards, KPI scorecards, reports, and self-service analytics solutions that provide visibility into operational performance, program health, technical metrics, and business outcomes. • Build data validation frameworks, monitoring processes, and quality controls to proactively identify and resolve data issues. • Collaborate with technical teams to enhance data models, reporting structures, metadata management practices, and overall data governance initiatives. • Translate complex technical findings into clear, concise, and actionable recommendations for both technical and executive audiences. • Drive process improvements through automation, standardization, and implementation of scalable analytics and reporting solutions. • Support root cause investigations by leveraging data to identify drivers of operational issues, risks, and performance challenges. • Document methodologies, business requirements, reporting processes, and data quality standards to ensure consistency and scalability.

• Collaborate with product and engineering teams to support customer onboarding and technical adoption. • Develop, maintain, and own customer-facing GitHub repositories and related codebases. • Design, build, test, and deploy software solutions for scientific computing and data science applications. • Apply software engineering principles to address scientific, research, and computational challenges. • Create, maintain, and improve reusable AI agents, automation workflows, and community assets. • Utilize AI, LLMs, and agent-based technologies to enhance customer solutions and development processes. • Support machine learning and data science workflows through software development and integration efforts. • Contribute to simulation-based projects and computational science initiatives. • Troubleshoot technical issues, identify root causes, and implement effective solutions. • Follow software development best practices, including version control, testing, documentation, and code reviews. • Engage with customers to understand requirements, provide technical guidance, and drive successful outcomes. • Help establish and promote engineering best practices across customer and community projects.

• Use AI tools to support research, outlining, drafting, editing, summarizing, and organizing marketing content. • Help create and improve website content, including blog posts, resource guides, landing pages, comparison pages, glossary content, and updates to existing pages. • Collaborate with Blueprint’s clinical team to turn expert input into clear, accurate, practical content for therapists. • Conduct keyword research and competitive analysis to identify opportunities for organic search growth. • Review search results, competitor pages, and therapist pain points to understand what content Blueprint should create or improve. • Help organize SEO research, content briefs, drafts, clinical review notes, and performance insights so the marketing team can move faster. • Support web content, landing pages, and conversion-focused copy that help therapists understand Blueprint’s value. • Review existing website pages and suggest improvements to clarity, structure, internal linking, and search intent alignment. • Learn how the growth marketing team prioritizes ideas, tests messaging, measures performance, and improves marketing channels over time. • Review clinician feedback, customer conversations, and market research to identify themes that can inform future content. • Contribute to fast-moving marketing projects across SEO, content, website strategy, product marketing, and growth experiments.

• Drive the strategy, curation, optimization, and performance analysis of customer-facing digital content experiences across a suite of productivity and AI-powered products. • Blend content strategy, visual design evaluation, data analytics, experimentation, and stakeholder influence to ensure customers are presented with relevant, engaging, and high-quality content. • Use both quantitative insights and creative judgment to identify what resonates with users, inform content investments, guide experimentation efforts, and deliver recommendations that improve customer engagement, satisfaction, adoption, and business outcomes.

• Support portfolio leads with day-to-day program execution and release operations activities. • Coordinate across business program managers, engineering teams, and operations stakeholders to ensure key deliverables remain on track. • Track active projects, dependencies, milestones, and timelines, proactively driving follow-up actions to completion. • Manage and support release management processes, including intake, validation, scheduling, and execution activities. • Assist with catalog maintenance, offering updates, asset management, and retirement tracking. • Maintain portfolio dashboards, reporting mechanisms, and status communications to provide accurate visibility into program health and progress. • Facilitate operational reviews and stakeholder meetings, capturing action items and ensuring timely follow-through. • Monitor program metrics and performance indicators to support decision-making and portfolio planning. • Drive task management and coordination across multiple teams and initiatives simultaneously. • Identify opportunities for process improvements, standardization, and operational efficiencies. • Support end-of-year planning activities, portfolio reviews, and ongoing operational initiatives. • Ensure documentation, reporting, and operational artifacts remain accurate and up to date.