• Conduct qualitative and quantitative research to understand customer needs and perceptions • Partner with Product to inform roadmap decisions through customer research, competitive analysis, and usage insights • Develop positioning and messaging for new and existing features • Own go-to-market planning and execution for new features and enhancements, including internal enablement and external communications • Define adoption strategy for high-impact features and identify opportunities to increase usage • Analyze product usage data and customer feedback to identify gaps in understanding or value realization • Maintain and evolve buyer personas across facilities and professionals • Equip Sales and Account Management with messaging and collateral • Partner with Lifecycle Marketing to ensure positioning is reflected in campaigns and in-product experiences

• Develop advanced level understanding of customer Jobs-to-be-Done, across users, technical stakeholders, and executive buyers. • Build and continuously refine positioning + messaging that clearly explains The Job-to-be-Done that Imubit targets, and Imubit’s unique and differentiated solution for that JTBD. • Develop strong understanding of the competitive and adjacent landscape (direct competitors, internal alternatives, “do nothing”). • Develop a strong understanding of how AI platforms are evaluated, bought, deployed, and expanded in our target markets. • Become deeply fluent in Imubit’s technology, including strengths, limitations, and differentiation. • Leverage AI continuously to "supersize" market and customer research synthesis to sharpen strategic insights. • Maintain strong judgment: validate outputs, avoid hallucinations, and uphold credibility with technical and executive audiences. • Establish a repeatable framework for translating product capabilities into customer outcomes, ROI narratives, and GTM assets. • Own end-to-end go-to-market execution for launches including launch briefs, timelines, readiness, internal enablement, external rollout, post-launch tracking and iteration. • Apply repeatable AI workflows (templates, prompts, structured inputs/outputs) that increase speed without sacrificing quality or accuracy. • Produce high-quality, high-leverage customer-facing and sales-facing materials such as pitch decks, one-pagers and competitive battlecards. • Utilize AI for rapid writing and iteration of briefs, decks, messaging, and enablement content generation/repurposing. • Use AI tools to streamline meeting preparation, follow-ups, and decision capture to increase team-wide leverage. • Drive revenue impact through PMM systems that improve pipeline conversion, win rate, and expansion readiness. • Build scalable, lightweight operating processes for messaging governance and voice-of-customer insights loops. • Define leading and lagging PMM KPIs and operationalize them with stakeholders.

• Lead end-to-end value storytelling campaigns, from strategy and planning through execution and measurement. • Translate customer insights, product outcomes, and ROI data into clear, compelling positioning and narratives. • Partner cross-functionally with Product, Marketing, Sales, Customer Success, and Insights teams to align on value messaging. • Manage complex, multi-stakeholder projects with clear timelines, owners, and success metrics. • Distribute value storytelling content across multiple channels, including web, campaigns, sales enablement, and lifecycle programs. • Measure and analyze campaign and content performance, using insights to iterate and improve impact. • Establish best practices for value storytelling and positioning that can scale across teams and launches.

• Design scalable GTM workforce blueprints (roles, segmentation, coverage models, overlays) • Build driver-based capacity models (quota capacity, ramp curves, productivity ratios, attrition assumptions) • Define hiring velocity requirements tied to growth objectives • Quantify ROI and payback periods for workforce investments • Align coverage design across Sales, SDR, CS, Partnerships, and GTM Ops • Translate RevOps and Sales Ops logic into Workday configurations • Partner directly with Workday administrators on: • Object architecture • Field design • Job taxonomy • Organizational hierarchies • Embed driver-based models into Adaptive Planning • Align workforce planning data structures across CRM, HRIS, and Finance systems • Ensure scalability, reporting integrity, and governance controls • Establish quarterly and annual workforce planning processes • Define approval workflows and ownership models • Implement governance and audit controls • Design KPI frameworks to track: • Ramp efficiency • Hiring ROI • Forecast accuracy • Productivity realization • Drive change management and adoption across stakeholders • Lead executive strategy workshops • Whiteboard workforce architecture and scenario models • Provide structured trade-off analysis (speed vs efficiency, coverage vs cost)