• Lead product positioning, messaging, and go-to-market strategy for new and existing offerings. • Partner with Product, Sales, and Customer Success teams to translate market needs into actionable product and commercialization plans. • Develop sales enablement materials, competitive intelligence, and customer-facing content that drive adoption and revenue growth. • Analyze market trends, customer feedback, and performance data to optimize product-market fit and accelerate growth. • Define and evolve the company’s core Mission, Vision, Value Proposition, and Brand Voice. • Establish clear Ideal Customer Profiles (ICPs), buyer personas, and complex buying group dynamics. • Own the holistic corporate messaging framework to ensure consistency across all business units. • Lead and mentor the Product Management and Product Development teams from initial concept/ideation to launch. • Oversee the UI/UX design function, ensuring our digital products and services are intuitive, engaging, and aligned with market needs. • Own the end-to-end "Brand Experience"—ensuring how the world interacts with us through our channels (Website, Social, Email, Newsletter, Connect, etc.) is seamless and world-class. • Drive growth through a mix of Mass Marketing, Segmented Campaigns, Account-Based Marketing (ABM), Performance/Lead Generation, and Lifecycle Marketing. • In Partnership with Sales, balance short-term demand generation with long-term, equity-driving brand awareness. • Establish a rigorous lead qualification and lifecycle management process to ensure seamless alignment and hand-offs between marketing and sales. • Own and optimize the distinct channels driving our growth engine, including: Outbound Sales alignment, technology partner referrals, AI Search & Traditional SEO Optimization, Industry Conferences & Events, and Customer Referral Programs. • Translate complex product/service features into compelling, value-driven market solutions. • Equip the sales and client success teams with high-impact collateral, presentations, case studies, and tools to accelerate the sales cycle. • Partner with sales and client success teams across client lifecycle management: expanding our existing clients, upsell, cross-sell. • Maximize our presence, listings, and co-selling opportunities within major tech marketplaces and strategic partner ecosystems (e.g., Google, Adobe, Snowflake, AWS, and other key players). • Co-create high-impact marketing campaigns with strategic partners to meet shared revenue and business objectives. • Proactively manage relationships with key industry analysts (Gartner, Forrester, etc.) and strategic consultants to secure strong recommendations and deepen engagement with industry stakeholders. • Establish a robust engine for executive visibility across premium channels—including LinkedIn strategies, high-profile speaking engagements, articles, and webinars—to position the company as a market authority. • Oversee the end-to-end planning, communications, and execution of both industry and proprietary events to engage our target buying groups.

• Lead development of commercial data and insights for Global influenza portfolio priorities • Conceptualize set of analytics capabilities and tools anchored to our marketing and launch frameworks to support decision making for Global influenza including patient insights, L3 early framework while focusing on our Company's experience • Partner with global marketing teams, DHH teams, and other cross-functional teams to drive strategic decisions and increase commercial rigor through all phases of pipeline asset development • Serve as the Insights & Analytics quarterback to address key business questions through digital, data and analytics capabilities • Lead Strategic Portfolio Reviews, Trimester Business Reviews (QBRs), Prioritization meetings, etc • Synthesize & document key trade-off decisions and DHH aspirations for executive audiences via active updates to ongoing inventory of projects/initiatives (Book of Work) • Proactively manage project(s) delivery with expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, PowerBI or similar technologies and capabilities • Leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation

• Own ZeroTier's marketing execution, with a primary focus on building top-of-funnel pipeline through SEO, AEO/GEO, and organic content programs that grow IQLs, MQLs, and SQL conversion over time — with accountability for CAC, CPL, and funnel performance at each stage, as well as brand metrics like SOV. • Lead ZeroTier's SEO/AEO/GEO strategy — including technical SEO, content architecture, schema, domain authority building, and ensuring ZeroTier surfaces in AI-powered answer engines (ChatGPT, Claude, Gemini) on topics where we should own the conversation. • Oversee and direct ZeroTier's demand generation programs setting vector strategies, budget allocation, and performance standards across paid, organic, email, and events — while empowering the team to execute. • Collaborate with Sales, Product, Customer Experience, and senior leadership to keep messaging sharp, technically accurate, and differentiated — translating ZeroTier's capabilities into content and campaigns that open doors in identified target markets. • Manage, hold accountable, and coach a small but talented marketing team, setting priorities, maintaining execution quality, and making sure every piece of content and every campaign hits both workflow and content quality before going live.

• Serve as the primary strategic partner to the GTM Leadership team. • Architect and own a sophisticated forecasting framework. • Develop and maintain machine learning models. • Oversee the structure of marketing data within Google BigQuery. • Move beyond descriptive analytics to perform causal inference and predictive trend analysis. • Transform technical data outputs into clear, compelling narratives for the executive team and board. • Deploy LLM-powered agents to monitor BigQuery datasets. • Implement orchestration patterns to build self-healing data pipelines. • Build and deploy AI-driven scoring models to separate high-value potential users from low-signal volume.