**The Role 💼**This isn't a traditional AE role. You'll function as a strategic growth advisor who also carries quota. Focusing on the fashion, beauty, and home verticals, you'll identify brands in our ICP, diagnose their conversion problems, prescribe compelling solutions with Checkmate's product offerings, build trusted partnerships with DTC growth teams, and then close those relationships. **What You’ll Do** ⚡ - **Build Strategic Partnerships** - Target high-growth Shopify merchants ($10M–$500M GMV) in fashion, beauty, and home verticals - Conduct deep discovery to understand growth challenges, constraints, and team priorities - Present data-driven business cases showing projected ROAS, incremental revenue, and payback periods - Navigate complex buying committees involving Growth, Marketing, RevOps, and Finance stakeholders - Establish yourself as a trusted advisor—not just a vendor - **Drive Revenue** - Own a quota and manage full-cycle sales from prospecting to close - Build pipeline through outbound prospecting, agency partnerships, and ecosystem relationships - Maintain disciplined pipeline management and forecasting in Hubspot - Support onboarding and identify expansion opportunities based on performance data - **Shape the Playbook** - Contribute product feedback based on real customer needs and market gaps - Help refine our GTM strategy as we scale into new verticals and use cases - Collaborate with Product, Marketing, and Customer Success to improve the customer journey - Be a founding member of our sales organization—what you build here will scale

• Own **TikTok Shop end-to-end**: product listings, pricing, promotions, and storefront management; • Drive revenue through a combination of **organic content, creators, and paid ads;** • Build and scale **creator and affiliate programs** with a strong focus on sales performance; • Continuously test and optimize strategies to increase conversions and revenue; • Launch, manage, and optimize paid campaigns across: - **TikTok Ads** - **Amazon** - **Walmart Marketplace** - **Google Ads** • Monitor and improve key metrics including **ROAS, CAC, and conversion rates;** • Allocate budget effectively and scale winning campaigns; • Expand successful TikTok strategies into platforms such as: - **Shopify** - **Amazon** - **Walmart.com** - **Faire and wholesale channels** • Optimize product listings across all platforms for **conversion and discoverability;** • Identify opportunities for **bundling, pricing, and merchandising improvements;** • Manage inventory flow across channels to prevent **stockouts and overstocking;** • Ensure alignment between marketing efforts and product availability; • Analyze performance data across channels and campaigns; • Provide **clear, actionable insights and recommendations;** • Continuously test, iterate, and improve performance based on data;

• Serve as the primary analytics leader across eCommerce, Marketing, Finance, Retail, Merchandising, Inventory Planning, and Operations. • Own problem definition for analytics - determining which business questions matter and what decisions insights should inform. • Move analysis beyond “what happened” to “why it happened,” “how it happened,” and “what we should do next.” • Proactively mine data to identify risks, opportunities, inefficiencies, and performance drivers. • Influence senior leaders through clear implications and actionable recommendations. • Own the integrity, governance, and usability of core commerce, customer, and operational datasets across platforms (eCommerce, POS, CDP, email, data warehouse). • Validate insights using business context and commercial logic — not just technical correctness. • Define, document, and continuously evolve company-wide KPI frameworks in partnership with Finance and functional leaders. • Identify and resolve cross-functional metric misalignment to ensure a single, trusted understanding of performance. • Establish standards for data quality, documentation, and analytical transparency across the organization. • Leverage AI as a core component of advanced analytical work, including hypothesis generation, exploratory analysis, pattern detection, insight synthesis, and narrative development. • Design, operationalize, and scale repeatable AI-assisted workflows that support recurring company-level decisions (growth, margin optimization, inventory productivity, forecast alignment). • Establish validation frameworks to pressure-test AI-generated outputs against source data, historical performance, customer behavior, and commercial logic. • Embed AI-enabled insights into planning, forecasting, and executive performance reviews. • Promote responsible, explainable, and outcome-driven AI usage across analytics workflows. • Own web and digital analytics strategy using Heap, including funnel performance, customer journey analysis, and conversion optimization. • Ensure tracking integrity and event schema accuracy, including review of structured data formats (e.g., JSON, data layers) in partnership with Product Engineering. • Translate behavioral data into commercial implications that influence merchandising, marketing, inventory, and operational decisions. • Ensure behavioral insights are aligned with downstream systems and financial realities. • Reconcile demand, margin, inventory, and operational perspectives into cohesive performance narratives. • Support planning, forecasting, and performance alignment across Finance, Retail, Merchandising, and Operations. • Challenge assumptions and reframe business narratives using data-backed insight. • Serve as a connector between commercial strategy and operational execution. • Establish analytical standards that prioritize clarity, trust, commercial relevance, and decision impact. • Reduce reactive ad hoc work by building scalable, decision-focused reporting and automation frameworks. • Design the structure, workflows, and expectations for the analytics function. • Hire, mentor, and develop junior analytics talent once foundational systems are established. • Champion a modern, insight-driven analytics culture across the company.

• Own and execute the e-commerce product roadmap aligned to business goals and revenue targets. • Lead agile product management processes including sprint planning, backlog grooming, and retrospectives. • Define and prioritize product features based on data insights, customer feedback, and stakeholder input. • Partner with engineering, UX, marketing, and merchandising teams to deliver high-impact digital experiences. • Drive conversion rate optimization across key funnel stages including homepage, PDP, cart, and checkout. • Develop and execute A/B and multivariate testing strategies to improve performance metrics. • Analyze customer behavior using tools such as Google Analytics (GA4), Looker, or Amplitude. • Identify opportunities to improve site speed, usability, personalization, and mobile experience. • Manage product requirements, user stories, and acceptance criteria with clear documentation. • Monitor KPIs such as conversion rate, revenue per visit, average order value, and retention. • Stay current on industry trends, competitive landscape, and emerging e-commerce technologies.