Enterprise Data Sales - Auto, Financial Services & Travel

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 - Auto, Financial Services & Travel owns brand-direct demand creation, enterprise relationship mapping, and commercial opportunity development for LATIS-led use cases across Auto, Financial Services, and Travel/Hospitality, with room to expand into Insurance, telecom-adjacent, and subscription-heavy 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/

Key Responsibilities

• 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.

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.

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

  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.

LI-MM2

SAS615

2026-82423

SAS615

2026

Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.

A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.

The base pay for this position generally is between $185,000.00 and $210,000.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.

In addition, this position has a commission earnings target starting at $140,000

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