Michael Saunders & Company

• Run discovery that surfaces the cost of a wrong decision — not research budgets and methodology preferences. The question you're always asking is: what does it cost them when they make this call without good consumer intelligence? • Build multi-threaded deal committees across Finance, IT, Legal, CMO, and VP Insights — carrying a distinct value conversation with each one. Finance wants ROI. IT wants security. The CMO wants to walk into a room with the answer. You speak all three languages. • Navigate the AI incumbent conversation. Your buyers already have Copilot, Gemini, or Claude. You know how to position Suzy as the decision-intelligent layer those tools don't provide — and you can make that argument in 30 seconds. • Present pricing as an investment against a quantified return. A $60K–$480K annual platform investment is never the question — the question is what it costs to make the wrong $5M product decision. You build that case before price enters the conversation. • Compete against inertia, internal build arguments, and 'we already have data' objections. The gap is almost never data — it is synthesized signal that produces a confident decision. You make that distinction clearly and calmly. • Build pipeline: source accounts, prospect into senior marketing and insights leadership, and work inbound leads with equal rigor. • Manage $60K–$480K+ annual contracts with 30–90 day close windows across mid-market and enterprise accounts in the $50M–$2B+ revenue range. • Partner with Solutions Engineering on complex enterprise deals. • Contribute to the playbook — this is a real opportunity to shape how the team sells.

• Lead high-impact onboarding to ensure rapid activation and early business wins • Drive adoption of Suzy’s AI-powered SaaS platform and embed it into customer workflows • Own customer outcomes and retention across a ~$5M book of business • Develop success plans aligned to executive KPIs and business objectives • Proactively identify churn risk and implement mitigation strategies • Own and close first-term renewals, partnering with Sales as appropriate • Surface and qualify expansion opportunities for the Commercial team • Deliver executive-level business reviews demonstrating measurable ROI • Leverage CSM automation workflows and scalable processes to efficiently manage and grow your portfolio • Partner cross-functionally with Sales, Product, and Support to optimize the customer lifecycle

• Build and convert a 5× quota pipeline through proactive outbound prospecting and strategic account planning • Own the full sales cycle: prospecting, discovery, executive presentations, negotiation, and close • Navigate formal deal committees and multi-threaded buying groups, including Procurement, Legal, Security, IT, Finance, and executive sponsors • Sell to business outcomes — aligning Suzy’s platform to enterprise priorities such as revenue growth, speed-to-insight, operational efficiency, and competitive advantage • Translate complex AI and data capabilities into clear, executive-level value propositions • Maintain disciplined forecasting and pipeline management in Salesforce • Partner cross-functionally with Marketing, RevOps, and Product to accelerate growth and share market feedback

• Own and execute the product roadmap for Suzy’s real-time data and intelligence platform, spanning customer data, primary research, and third-party research data • Translate company strategy and stakeholder needs into clear product requirements, user stories, and acceptance criteria • Define product goals, success metrics, and KPIs; measure adoption, performance, and business impact to drive prioritization decisions • Identify opportunities to create differentiated data products that expand Suzy’s market position and revenue potential • Lead continuous discovery with internal and external users to identify pain points, unmet needs, and opportunities for innovation • Analyze data usage patterns and customer workflows to inform roadmap decisions and product improvements • Ensure platform capabilities translate into intuitive, high-value user experiences • Own the curation, orchestration, and standardization of third-party data alongside customer and primary research data • Partner with Engineering and Data Science to build scalable pipelines and models that fuse quantitative and qualitative data into a semantic knowledge network • Evaluate, implement, and iterate on LLMs and other AI technologies to enable reliable, scalable AI-powered product capabilities • Establish and operationalize data quality, governance, security, and compliance standards across the platform • Partner with Commercial teams to define data monetization strategies, packaging, and delivery models • Evaluate, select, integrate, and manage third-party data vendors, including performance monitoring and cost optimization • Support go-to-market efforts for new data and intelligence products in collaboration with Sales and Marketing • Monitor platform performance and reliability, ensuring >98% uptime and adherence to SLAs • Triage errors, drive incident resolution, and maintain clear support documentation and self-service resources • Collaborate cross-functionally to ensure smooth delivery from concept to launch and ongoing optimization