Siftwell

• Define and drive Siftwell’s revenue strategy, owning how the company wins in-market and scales, while maintaining full accountability for pipeline health, forecast accuracy, and enterprise deal conversion. • Lead and orchestrate the full sales motion across the CEO, SVP of Growth, and broader team, ensuring alignment, clear ownership, and consistent execution. • Personally lead and close high-impact enterprise deals, while advancing and supporting strategic opportunities across the team. • Take ownership of the transition from a pre-Series A sales motion (which indexes on founder-led sales), bringing structure, visibility, and repeatability while effectively leveraging executive and cross-functional team involvement. • Identify and resolve pipeline inefficiencies, improving deal velocity, conversion, and overall pipeline quality. • Build and enforce a structured sales methodology and operating rhythm, ensuring disciplined qualification, accurate forecasting, and consistent execution. • Lead, coach, and develop the growth/commercial team, elevating enterprise selling capabilities and preparing the organization to scale. • Partner with Growth, Product, and Customer Success to align go-to-market strategy, refine value propositions, build and iterate upon ICPs, and drive expansion within payer organizations. • Build the commercial foundation for scale, including playbooks, pricing, metrics, market expansion plan, tooling, and workflows to support growth through Series A and beyond. • Provide clear visibility to leadership on pipeline, forecasts, and risks, while representing Siftwell with executive presence in key client and market interactions.

• Lead technical data discussions with health plan clients to understand data environments and define how client data should map to Siftwell’s platform. • Serve as the primary technical counterpart in client onboarding meetings alongside Customer Success, using deep familiarity with healthcare data standards (EDI 834/837, claims, eligibility, clinical data) to guide productive discussions. • Evaluate client data delivery approaches and guide clients toward formats that align with Siftwell’s platform data model. • Build and maintain a standardized onboarding data playbook defining required data formats, field mappings, and delivery expectations for new clients. • Identify data availability gaps early and work with clients and internal teams to define workarounds or phased implementation approaches. • Own Siftwell’s data model roadmap, including the gold-layer schema, condition classification mappings (e.g., AHRQ CCSR), population definitions, and derived metrics. • Define and maintain canonical data specifications that translate healthcare domain knowledge into engineering-ready documentation for areas such as condition mapping, cost calculation logic, quality measure dependencies, and eligibility processing. • Define specifications for new data capabilities as the platform expands into additional healthcare domains (e.g., foster care, D-SNP, behavioral health), including relevant regulatory and definitional requirements. • Define data quality, governance, and validation frameworks that incorporate domain-informed validation of clinical and operational logic. • Write PRDs and technical specifications for data model changes, new data integrations, and pipeline enhancements. • Operate in a pod structure with the data engineering team, owning prioritization and specifications while engineering owns execution and architecture. • Partner with Product leadership to ensure data model decisions align with overall platform strategy and roadmap priorities. • Collaborate with Customer Success to distinguish between onboarding tasks, product feature requests, and out-of-scope client requests. • Translate patterns observed across client onboardings into product improvements — turning recurring bespoke work into repeatable platform capabilities. • Communicate data architecture decisions and onboarding requirements clearly to both technical and non-technical stakeholders, including client executives.