• Make high-volume outbound cold calls to prospective patients • Engage patients in clear, empathetic conversations to drive enrollment into our virtual cardiac rehab program • Confidently explain program benefits, expectations, and next steps • Assist patients with mobile app downloads, account setup, and basic technical troubleshooting • Complete initial reminder outreach to confirm upcoming appointments and reduce no-shows • Accurately document call outcomes, patient status, and next steps in internal systems • Meet or exceed daily call volume and enrollment targets • Partner closely with Enrollment Operations and Clinical teams to ensure a seamless patient experience

• Develop and implement international franchise sales strategies to meet expansion goals • Identify and qualify prospective franchisees, guiding them through the discovery and acquisition process • Analyze global markets to identify high-potential regions, adapting strategies based on local consumer demand and regulatory requirements • Build and maintain strong relationships with franchise candidates, brokers, and key stakeholders • Serve as an ambassador for the brand, ensuring alignment with company values and standards in new markets • Lead franchise agreement negotiations, ensuring compliance with legal and financial requirements • Work closely with legal, marketing, and operations teams to ensure a smooth onboarding process for new international franchisees • Monitor and report on international franchise sales performance, pipeline activity, and market trends

• Join as the first dedicated marketing hire, helping build a B2B Saas company serving SMB in-home sales teams. • Drive go-to-market strategy, validating demand, and shaping the SPCloser brand. • Own growth end-to-end – from positioning and messaging to reporting on acquisition, activation, and revenue. • Collaborate cross-functionally to test early hypotheses, learn quickly, and build repeatable growth engines from the ground up. • Design and run experiments that drive customer acquisition and activation across PLG and founder-led sales channels. • Own the self-serve sign-up and onboarding funnel, running experiments to improve activation, time-to-value, and trial-to-paid conversion. • Interview customers and prospects to understand workflows, objections, and language – and turn insights into messaging and campaigns. • Run a steady cadence of small experiments across website, email, and in-product touchpoints, doubling down on what works. • Set up and maintain a lightweight but reliable growth stack (Webflow, HubSpot, analytics) to track the funnel and guide decisions. • Test and scale a focused mix of paid channels (Google, Meta, LinkedIn) using freelancers or agencies where it adds leverage. • Define and refine ICPs and buying journeys across self-serve and sales-assisted paths to keep marketing, product, and sales aligned. • Use product usage and CRM data to identify high-intent signals and trigger lifecycle campaigns.

• Partner Strategy, Positioning & Offers • Define how Codvo + NeIO shows up with Databricks, AWS, and Red Hat (offers, verticals, workflows). • Map Codvo capabilities to each partner’s AI/data GTM plays and services motions (e.g., ProServe, PS, consulting). • Own a sharp portfolio of joint offers that can be co-sold and co-delivered, such as: “Databricks GenAI Modernization & Lakehouse Acceleration”, “AWS AI Data Foundation with NeIO”, and “Red Hat OpenShift + NeIO Intelligent Data & Agent Fabric”. • Field, Co-Sell & Co-Deliver Motion • Build and maintain relationships with 20–30 key field and services leaders (AEs, RDs, SAs, PS leads) across AWS, Databricks, and Red Hat. • Run account mapping between Codvo targets and partner-owned accounts using AI to surface overlaps and joint plays. • Drive joint customer activity: intros, discovery sessions, workshops, assessments, POCs, and pilot implementations. • Ensure opportunities are registered and visible in partner and co-sell portals (AWS ACE, Databricks Partner Portal, Red Hat, etc.). • Work with partner services / PS teams to define co-delivery models (roles, responsibilities, SOW patterns, QA expectations).