GTM Data Architect & Growth Strategist
Tulip Interfaces
Requirements Strategic Experience: 5+ years in Sales Ops, GTM Strategy, or Management Consulting within B2B SaaS
- Structural Mastery: Proven track record of redesigning Salesforce data structures, lead routing logic, and attribution models to support high-growth teams
- AI & Planning Proficiency: Experience evaluating or deploying AI for Sales, such as predictive lead scoring, automated territory carving, or AI-driven "Next Best Action" for reps
- The Technical Stack: Advanced Modeling: Expert SQL and Excel/Sheets skills are non-negotiable
- BI Platforms: Deep experience with Sigma, Tableau, or Power BI
- Systems: Advanced Salesforce (SFDC) knowledge; ability to partner with Admins to drive architectural changes
- Strategic Initiatives: Experience leading TAM/SAM/SOM analysis, Pricing & Packaging redesigns, and Sales Incentive/Commission planning
- Bachelor degree in relevant field required. MBA preferred
- Your mission is to use data and AI to ensure our Sales team is targeting the right accounts, at the right price, with the most efficient process possible. You are the architect of our Go-To-Market (GTM) engine
- You are a strategic architect who thrives at the intersection of data science, commercial strategy, and systems engineering
- You don't just build dashboards; you build the structural integrity of the entire Sales engine
- You possess a "systems-first" mindset, naturally obsessed with creating scalable structures and clean data schemas that allow for advanced AI modeling and predictive lead scoring
- As a master communicator, you can distill complex pricing simulations or TAM (Total Addressable Market) analyses into clear, executive-level narratives that drive board-level decisions
- You are deeply curious about the frontier of Revenue Operations, constantly evaluating how AI can be leveraged for territory optimization, pipeline forecasting, and automated prospecting intelligence
- TAM & Territory Strategy: Define the "Golden Record" ICP and use AI/data to carve territories for optimal rep productivity and coverage
- Sales AI Implementation: Evaluate and pilot AI tools for pipeline prioritization; build models to predict lead conversion based on win patterns
- Pricing & Elasticity: Partner with Finance and Product on pricing changes; analyze discounts and win/loss data to optimize Price Book and packaging
- Pipeline Architecture: Redesign funnel stages and data requirements to ensure accurate stage transitions for high-fidelity forecasting
- Strategic Forecasting: Build "Scenario Models" (e.g., headcount changes) to support leadership's fiscal planning
- Sales Productivity: Identify process bottlenecks (legal cycles, slow lead response) and drive cross-functional projects to eliminate them
- Sales leads
- To align territory and quota strategy
- Marketing Ops
- To ensure the "Lead-to-Sales" handoff is seamless and automated
- Finance
- To align sales targets with the company's financial goals and P&L
- Sales Enablement
- To ensure the field understands and adopts new data-driven processes
, GTMO
, Leadership team #J-18808-Ljbffr Tulip InterfacesVacancy posted 4 days ago
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