> Markdown version of [/jobs/ext/3454638-enterprise-data-sales-lead](https://www.wearedevelopers.com/jobs/ext/3454638-enterprise-data-sales-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Sales Lead - **Company:** LATIS, INC. - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Salary:** $185,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software as a Service, Technical Data Management Systems, Deep Learning, Data Management, User Identification - **Published:** September 15, 2026 - **Apply:** https://www.themuse.com/jobs/spectrum/enterprise-data-sales-auto-financial-services-travel-278f79 ## About the Role This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future., 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 Auto, Financial Services, and Travel/Hospitality. * Demonstrated experience navigating complex matrixed organizations and running overlay or co-selling motions without clear, single-buyer ownership. ## Description * Build and maintain target-account lists across Auto, Financial Services, and Travel/Hospitality, with room to expand into Insurance, telecom-adjacent, and subscription-heavy brands. * Map buying committees across marketing, media, CRM/lifecycle marketing, consumer insights, data science/analytics, product marketing, regional/local market strategy, sales operations (dealer/branch), and finance/forecasting. * Create and lead senior-level brand conversations that surface enterprise LATIS use cases such as in-market/propensity audiences, household-level segmentation, competitive switching/conquesting, customer file enrichment, and market-level opportunity sizing. * Identify and qualify enterprise opportunities involving longer consideration cycles and higher-value conversions, including dealer/branch or local-market planning, travel intent and destination affinity, and financial product cross-sell/retention modeling. * Qualify opportunities and hand off to Solutions Engineering for feasibility, test design, and technical-commercial development, including measurement/attribution test design. * 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., * 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 Auto, Financial Services, and Travel/Hospitality 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. ## 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 - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)