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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Sales Lead - **Company:** LATIS, INC. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $185,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software as a Service, Technical Data Management Systems, Enterprise Data Management, Deep Learning, Data Management, User Identification - **Published:** September 17, 2026 - **Apply:** https://www.themuse.com/jobs/spectrum/enterprise-data-sales-commerce-retail-consumer-growth-62efcb ## About the Role Advanced Experience & Deal Complexity * 7+ years of enterprise "hunter" sales experience specifically selling high-ticket data platforms, identity resolution, predictive analytics, clean rooms, or advanced programmatic/SaaS solutions. * Proven track record of closing 7-figure enterprise deals ($1M+ ARR) with continuous, multi-year expansion, specifically targeting Fortune 500 brands in Retail, CPG, or QSR. * Demonstrated experience navigating complex matrixed organizations and running overlay or co-selling motions without clear, single-buyer ownership. Technical & Data Sophistication * Deep fluency in identity resolution, first-party data signals, and privacy-forward architectures (e.g., zero-copy architectures, data clean rooms, pseudonymized matching, and AI/deep learning model training). * Ability to confidently translate advanced technical data applications-like propensity modeling, continuous household-state modeling, and time-sequence demand forecasting-into high-level business value for non-technical executives. * Strong understanding of data privacy landscapes, including CCPA, CPRA, and the evolving mechanics of signal loss and cookie deprecation. Executive Rolodex & Buying Committee Mastery * An active, elite Rolodex of active C-level and SVP contacts across Retail, CPG, and Restaurants, specifically outside the traditional media agency bubble. * Proven capability to map and influence non-traditional buying committees, including Chief Data Officers (CDOs), Heads of Analytics, VP of CRM/Loyalty, and CFOs/Revenue Managers. * Expertise in shifting the narrative away from standard CPM/media buying toward enterprise business outcomes like customer lifetime value (LTV), acquisition efficiency, and market share expansion. Strategic Account Management & Methodology * Mastery of complex enterprise sales methodologies to qualify out weak pipeline opportunities early and compress lengthy enterprise cycles. * Experience partnering closely with Solutions Engineering and Product teams to co-architect custom proof-of-concepts (PoCs) and test designs for skeptical enterprise buyers. ## Description This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. The Enterprise Data Sales Lead - Commerce, Retail & Consumer Growth owns brand-direct demand creation, enterprise relationship mapping, and commercial opportunity development for LATIS-led use cases across Retail, Restaurants/QSR, CPG, and D2C/digitally native brands. This is a hunter role with overlay responsibility: this person builds and runs their own target-account list and outbound motion, while also co-selling with Category Sales when vertical relationships already exist and partnering with agency/national sellers when an agency path matters. Solutions Engineering supports feasibility, test design, and technical-commercial architecture, freeing this role to focus on enterprise conversations that extend beyond traditional media buyers into CRM, insights, analytics, and finance. Built on one of the nation's largest first-party signal foundations spanning approximately 30 million U.S. households and 500 million connected devices, Latis transforms real-world activity into intelligence that helps organizations understand consumer intent, context, emerging trends and shifting demand at national scale. https://latisintel.com, * Build and maintain target-account lists across Retail, Restaurants/QSR, CPG, and D2C brands. * Map buying committees across marketing, media, consumer insights, CRM/loyalty, customer analytics, growth/acquisition, strategy, and finance/revenue growth management. * Create and lead senior-level brand conversations that surface enterprise LATIS use cases beyond traditional media buys, e.g., audience intelligence, customer matching/enrichment, propensity modeling, lapsed customer reactivation, store/location opportunity analysis, and commerce media. * Identify and qualify enterprise opportunities where LATIS can create measurable value, including acquisition efficiency, customer enrichment/segmentation, behavioral insights, and CAC/LTV or market-prioritization impact. * Qualify opportunities and hand off to Solutions Engineering for feasibility, test design, and technical-commercial development. * Partner with Category Sales where vertical relationships already exist, co-selling to accelerate enterprise conversations. * Partner with agency/national sellers when an agency path is the right route into an account. * Own commercial momentum from opportunity qualification through proposal and close, with Solutions Engineering supporting design and feasibility. * Operate as a direct hunter with an independent outbound motion, while remaining available as an overlay resource when Category Sales opens a door. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The pitfalls of Deep Learning - When Neural Networks are not the solution](https://www.wearedevelopers.com/videos/14-the-pitfalls-of-deep-learning-when-neural-networks-are-not-the-solution) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)