• Serve as the company's designated Salesforce owner — owning object and field architecture, Flow automation, permission design, data quality, sandbox governance, and release management • Conduct methodical system audits to identify and resolve accumulated technical debt — investigating field usage, dependencies across automations, code, layouts, and integrations to make informed decisions that improve performance, usability, and long-term maintainability • Own the planning and execution of legacy automation migration — rationalizing existing automation inventory, consolidating redundant logic, and migrating deprecated frameworks to current Salesforce standards to reduce performance risk and improve debuggability • Design and maintain role-appropriate user experiences within Salesforce — including page layouts, Lightning configurations, and record views tailored to how Sales and CS teams actually work — and iterate based on ongoing feedback to drive real adoption • Establish and maintain a mature sandbox and release management practice — including environment refresh cadences, pre-production testing protocols, and proactive preparation for Salesforce's tri-annual release calendar • Lead data model architecture strategy to support an evolving product and pricing mix — designing scalable object structures that accommodate distinct go-to-market motions across product lines while preserving unified reporting and operational coherence • Own the administration, configuration, and optimization of our broader GTM technology stack — including Outreach, Gong, LinkedIn Sales Navigator, Clay, ChurnZero, Rocketlane, Ironclad, MonetizeNow, Aligned, UserGems, and others • Deepen our ChurnZero and Salesforce integration, align platform workflows to our evolving CS motions, and drive incremental improvement in how the tool is configured and used • Surface and act on opportunities to unlock more value from underutilized tools in the stack • Set integration governance standards — maintaining a clear picture of which tools connect to Salesforce, how data flows between them, and where sync conflicts or overwrite risks exist • Evaluate new tools for integration fit before the company commits, using your data model knowledge as a meaningful safeguard • Apply AI tooling where it creates genuine leverage — including data hygiene, field usage analysis, automation documentation, report building, and data enrichment workflows • Bring a natural orientation toward process improvement through AI: asking "how can this be done better with AI?" as part of how you approach your work, not as a separate initiative • Support the broader revenue team's adoption of AI tools, including Claude-based workflows and agentic automations, by helping evaluate options, shape use cases, and model effective usage

• Own the end-to-end GTM strategy, messaging, and positioning for NodeZero WebApp Pentesting • Architect an aggressive, pipeline-driven product launch framework • Define target personas across Enterprise, Mid-Market, and Commercial segments • Drive the competitive narrative against legacy DAST incumbents • Educate the market on why generic AI solutions suffer • Develop proof-first product content to assist sales force • Partner with Product Leadership and Engineering teams • Serve as a vital feedback loop between market realities and product roadmap

• Own positioning and messaging for Source CMS and DAM. • Run launches and feature-release support end to end. • Maintain competitive coverage for the content and marketing-cloud category with support from our head of competitive intelligence • Build AEO / AI-citation proof points and sales-play assets on a value-selling spine (Signal > Value > Action). • Partner with the Source Evangelist (user-facing proof and technical content) and with Demand Gen.

• Own the process and tooling roadmap for Central Policy and Operations independently, setting short-to-medium-term strategic direction and aligning investment to areas of greatest need • Drive cross-functional initiatives across GTM, Finance Systems, and Data Engineering to align territory, quota, and adjustment data for AI enablement • Architect the path to transition off external tools toward Stripe-native tooling—building the business case, influencing resource allocation, and measuring ROI • Design and implement automation for Account Team assignments, User Segmentation updates, and Manager and Approval workflows in Salesforce to reduce manual intervention and contractor dependency • Build audit frameworks, compliance metrics, and governance processes for scaled systems (Territory Assignments, Quota, Workflows, Adjustment Approvals) • Establish documentation, process architecture, and AI-ready task design that enables leadership visibility, vendor onboarding, and repeatable delegation • Anticipate system integration risks and resolve them before they become escalations—including cross-system data movement between Salesforce, territory engines, and reporting infrastructure