Continued

• Own the Outcome: Hold end-to-end accountability for your pod’s results — product milestones, revenue targets, and customer impact. • Translate and Execute: Translate the company’s vision into your pod's product roadmap and delivery plan. • Own Positioning and Messaging: Develop and maintain segment-specific positioning, ICP definitions, buyer personas, and messaging frameworks. • Design the Work: Before your pod builds anything, you've defined the problem, pressure-tested the solution space, and structured the work for speed and quality. • Lead Voice of Customer and Market Intelligence: Run VOC and VOM programs that translate real buyer signals into sharper positioning and stronger product direction. • Lead from the Front: Coach and direct pod members day to day with the authority of a player-coach. • Drive Revenue: Own the commercial outcomes for your pod's domain. • Navigate the System: Build strong working relationships with partner groups to align on standards, unblock dependencies, and move fast without creating downstream problems. • Build AI-Native: Champion the active use of AI and automation tools inside your pod. • Communicate the Story: Represent your pod's work, decisions, and outcomes clearly to senior leadership and cross-functional partners.

• Run the pipeline of ideas under exploration end to end, from intake through vetting and active investigation. • Track progress, keep every project moving, and keep the executive team informed on status, evaluation, and recommendations for what to pursue, pause, or stop. • Continuously scan the education and professional-development landscape and collaboratively translate market signals into Frontier project opportunities before the competition sees them. • Lead structured problem-framing, ideation, and rapid prototyping using rigorous design thinking methodology from concept to tangible artifact. • Facilitate regular review with company leadership. Own the agenda, present the scores, and drive the decision making. • Shepherd battle-tested projects into Continued’s operational hands and document R&D learnings that make every project — even terminated ones — a strategic asset. • Build and refine the processes, rubrics, and rituals that make the Frontier a repeatable, scalable innovation capability. • Keep pace with AI, simulation technology, gamification, and the broader ed-tech ecosystem — and bring that intelligence back to the team.

• Own discovery through design, development, and measurement of post-launch success criteria. • Leverage AI-assisted tools to rapidly prototype concepts, accelerate feedback loops, and reduce time from idea to validated solution. • Lead exercises that inform business trade-off discussions and scope conversations. • Conduct discovery sessions and market research specific to product areas. • Translate business and functional requirements into clear, actionable user stories for development teams. • Provide regular product updates and roadmap progress to stakeholders across the organization. • Balance stakeholder needs, business value, and level of effort to make clear, defensible calls on what gets built and when. • Establish and monitor key product metrics within product area. • Collaborate across leadership, engineering, and customer success to drive alignment. • Guide process improvements within development teams and across the product organization.

• Lead the audience segment buildout within our licensed platform: collaborate with our data team to manage audience traits, event taxonomy, identity resolution rules, and apply integration architecture with ESP’s and downstream channels • Own the email marketing program end-to-end: campaign strategy, segmentation, automation flows, A/B testing cadence, and performance reporting • Establish and enforce data hygiene standards, CAN-SPAM and other compliance protocols, and unsubscribe/suppression management across sends and mailings • Collaborate with the data team to maintain a subscriber data governance framework: aid in defining what we collect, how we store it, and how it flows across the stack • Partner with the data team to align CDP data structures to the broader data roadmap and migration project • Drive a cohesive omni-channel strategy by aligning direct mail logistics with digital campaigns to ensure consistent audience targeting, personalization, and suppression. • Lead AI automation adoption across email and direct mail: deploy AI tools for, send-time optimization, predictive segmentation, A-b testing and performance analytics • Manage reporting dashboards that connect marketing channels for engagement to renewal rates, and revenue contribution • Evaluate and recommend additional MarTech tooling to support channel expansion and automation maturity • Serve as the internal subject matter expert on email and related CDP capabilities • Managerial responsibilities of one or more team members

• Dig into research — understand who our best prospects are and why they'd care about us • Initiate outreach through email, phone, and professional networking platforms (yes, all three) • Ask smart questions to uncover real needs and determine genuine fit • Schedule introductory meetings for the Sales team with qualified prospects • Keep HubSpot (our CRM) clean, accurate, and up to date — yes, this matters • Collaborate with Marketing and Sales to sharpen messaging and targeting • Follow defined processes to ensure a consistent, positive prospect experience — and push back when you have a better idea • Learn relentlessly — from coaching, from feedback, and from every single conversation

• Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation. • Design, develop, and support AI & automation systems that drive measurable business outcomes—from initial scoping to production deployment. • Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer. • Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector databases, and semantic search. • Ensure the high availability, performance, and security of AI platform services. • Contribute to platform growth by authoring SDKs, APIs, and comprehensive developer documentation. • Translate complex AI concepts for non-technical stakeholders and keep business goals front and center. • Keep pace with rapidly evolving AI models, frameworks, and research—and bring that knowledge back to the team.

• Lead quality strategy in an AI-augmented API engineering environment • Define quality intelligence frameworks • Validate AI-powered features • Embed continuous quality practices across the SDLC • Partner with Engineering, Product, Data, and TechOps teams • Shape and execute AI-driven API risk-based testing strategies across distributed systems • Drive end-to-end quality assurance for web and mobile releases • Establish quality gates within CI/CD pipelines • Own API quality strategy, including GraphQL testing, performance monitoring, and SLA validation • Lead test architecture decisions for microservices and AI-integrated platforms • Mentor and guide QA engineers on modern AI-driven quality engineering practices • Leverage telemetry, observability tools, and defect trend analysis to identify systemic risks • Advocate for API design best practices, testability, observability, and reliability during architecture reviews • Embed AI-driven security and performance testing into the development lifecycle

• Lead campaigns and A-B testing strategies across growth marketing channels • Campaign management pipeline for the A-B testing tool • Own companies scheduled sales promotions • The coordination, collaboration, execution, reporting and presentation • Campaign execution onsite • Coordinate product launches with product and tech teams, including QA testing on behalf of Growth Marketing • Campaign analysis and reporting as well as present findings • Identify and implement opportunities to streamline campaign workflows through automation and AI tools • Document campaign processes and contribute to a culture of operational clarity and continuous improvement

• Define and drive AI-driven API risk-based testing strategies across distributed systems • Establish quality gates within CI/CD pipelines • Perform API tests with GraphQL within Apollo Studio • Lead test architecture decisions for microservices and AI-integrated platforms • Leverage AI tools to accelerate test creation and maintenance • Mentor and guide QA engineers on modern AI-driven quality engineering practices • Design self-healing and resilient automation frameworks • Validate AI-generated test artifacts for completeness and risk alignment • Leverage telemetry, logs, and user behavior data to identify systemic risks • Advocate for API design best practices during architecture reviews • Help build a culture where quality accelerates delivery

• Research prospective organizations and individuals to understand their needs and relevance • Initiate outreach through email, phone, and professional networking platforms • Ask thoughtful questions to understand challenges and determine potential fit • Schedule introductory meetings for the Sales team with qualified prospects • Maintain accurate and up-to-date information in HubSpot (CRM) • Collaborate with Marketing and Sales to align on messaging and targeting • Follow defined processes to ensure a consistent and positive prospect experience • Learn continuously through coaching, feedback, and training