TalkingPoints

• Own and execute complex research projects end-to-end • Manage the work of team members on shared projects • Build and manage research team operations • Lead external research partnerships with district and research partners • Contribute to research strategy and roadmap • Manage and analyze complex qualitative and quantitative datasets • Translate findings into clear, compelling impact stories • Lead the development of presentations, reports, and publications

• Lead Content & Editorial Calendar: Own the planning and execution of our blog and content calendar, including writing and editing multiple posts per month • Customer and brand Storytelling: Lead customer interviews and develop compelling success stories, case studies, and testimonials as well as storytelling around the future direction of the organization • Drive Marketing Campaign Content: Write and develop content for marketing emails, newsletters, and campaigns that support engagement and growth • Own and Execute Social Media Strategy: Plan, create, and manage content across LinkedIn, Facebook, X, and other platforms—continuously testing and improving performance • Support and Execute Events: Plan and support logistics for national conferences and events, ensuring strong brand presence and follow-up • Contribute to Marketing Strategy: Bring ideas and insights to improve messaging, campaigns, and channel performance • Manage Tools & Workflows: Work within platforms like HubSpot, Customer.io, and others to execute and optimize marketing efforts • Collaborate Cross-Functionally: Partner with marketing, product, sales, and partner success teams to align messaging and surface impactful stories

• Serve as the first point of contact for complex partner issues across chat and email support channels, troubleshooting and resolving issues with accuracy, empathy, and strong written communication. • Investigate technical and operational issues by reviewing account details, validating data, reproducing bugs, identifying patterns, and documenting findings for escalation to internal stakeholders across Product, Engineering, and Partner Success. • Support educators, families, schools, and district administrators with varying levels of technical proficiency, adapting communication styles to meet the needs of each audience. • Maintain high attention to detail while working with sensitive student and account-related information, including validating account access and troubleshooting communication, pairing, or SIS-related data issues. • Identify recurring themes, product friction points, and systemic issues across support conversations to help improve the customer experience and internal operations. • Partner closely with teammates during the fast-paced Back-to-School season by sharing knowledge, communicating proactively, and supporting team-wide operational goals.

• Set the data roadmap • Own and execute the data and integrations roadmap aligned to product strategy • Define and prioritize core data use cases: product functionality, impact measurement, and organizational success • Anticipate scale, performance, and cost implications of data systems • Build and operate reliable data products • Define data requirements across internal teams, districts, and partners, turning needs into clear product direction • Partner with engineering, product, and research to deliver high-quality data solutions and integrations • Bring deep expertise in K–12 district data (SIS, LMS, student outcomes) and represent the perspective of district IT administrators • Ensure data quality, governance, and scale • Own data quality and sources of truth across data domains • Define KPIs and SLAs for data health, reliability, and performance • Establish governance, shared definitions, documentation, and processes that ensure reliability at scale • Enable measurement and insight • Own core organizational metrics and ensure teams have access to decision-ready data • Analyze usage, funnels, and outcomes to identify opportunities and measure impact • Increase data literacy and alignment around success metrics across the organization • Use AI to analyze data, build tools that enable others to do the same, and support AI/ML use cases in the product • Promote fast feedback loops and metrics-driven decision-making • Lead through clarity and prioritization • Ruthlessly prioritize to focus on the highest-impact work • Communicate roadmaps, risks, and tradeoffs clearly to stakeholders, including executive leadership and partners

• Develop engaging, family-friendly math content for caregivers • Report to Product team • Collaborate with research teams to develop aligned activities & templates • Create calendarized math messages for families