Partner Sales Lead - AI Partnerships

Key Responsibilities

• Direct Revenue Generation: Drive regional and vertical-specific channel business growth.
• Lead Generation, Deal Qualifications, Solution-Led Selling, and Closing Deals to Meet or Exceed Personal and Unit Revenue Targets.
• Pipeline Management: Forecast and Track Channel-Driven Revenue, Maintain a Healthy Sales Funnel, and Drive Existing Account Farming and New Logo Acquisition.
• Co-Selling: Actively Engage with AI Ecosystems (OpenAI, Anthropic) Counterparts to Identify and Pursue Co-Selling Opportunities.
• Channel Strategy: Develop and Execute Channel Sales Strategies in Collaboration with Key Partners.
• Relationship Management: Build and Maintain Strategic Relationships with AI Ecosystems (OpenAI, Anthropic) Executives, Alliance Teams, PSM, GTM, Product, and Field Engineering Organizations to Enhance Tredence’s Visibility and Influence Within the Partner Ecosystem.
• Partner Ranking: Strategically Manage and Grow the Partner Ranking Score Through Certifications, Competencies, and Successful Project Deliveries.
• Evangelism: Engage and Evangelize Tredence’s Capabilities at Every Opportunity, Serving as the Face of the Partnership.
• Growth Marketing Oversight: Guide the Marketing Team to Strengthen Brand Visibility Through Co-Marketing Initiatives, Partner Success Stories, and PR/Communications.
• Demand Generation: Oversee the Creation of Joint Campaigns That Drive Demand Generation, Utilizing Shared Resources for Targeted Marketing Efforts.
• Events Strategy: Oversee the Planning and Execution of All Format Events (i.e., Data and AI Summit, World Tours, Webinars, and Roundtables), Ensuring Effective Lead Sourcing and Nurturing.
• Field CTO Alignment: Leverage the Field CTO Team to Embed Technical Differentiation in GTM Strategies and Build an Ecosystem of ISV Partnerships That Enable Tredence to Differentiate.
• Solution Design: Collaborate with Tredence’s Practice and Delivery Teams to Design Channel-Specific Solutions Tailored to Client Needs.
• Certifications: Shepherd Technical Certifications and Bring New Competencies to Market.

Qualifications

• Experience: 12–18 Years of Experience, with at least 5 Years in Channel Sales, Strategic Alliances, or GTM Leadership Roles within the Data & AI Domain.
• Player-Coach Mindset: Proven Ability to Balance High-Level Strategic Planning and Team Management with Hands-On Sales Execution and Revenue Generation.
• Ecosystem Knowledge: Deep Understanding of the AI Ecosystems (OpenAI, Anthropic) Ecosystem, as Well as Surrounding Players Like AWS, Azure, Databricks, GCP, Snowflake.
• Leadership: Experience Managing Cross-Functional Teams (Sales, Marketing, Technical) Without Necessarily Having Them All as Direct HR Reports (Matrix Management Excellence).
• Sales Expertise: Expertise in the Data-to-Insight Value Chain (Data Integration, BI, Advanced Analytics, GenAI) and a Track Record of Scaling Sales Portfolios Through Channel Ecosystems.
• Communication: Exceptional Communication Skills with the Ability to Influence C-Level Executives and Key Decision-Makers Within AI Ecosystems (OpenAI, Anthropic) and Client Organizations.
• Operational Rigor: Strong Analytical Skills for Forecasting, JBP Management, and Pipeline Tracking.
• Entrepreneurial Spirit: A Mindset Focused on Innovation, Collaboration, and Rapid Execution.