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Enterprise Data Sales - Auto, Financial Services & Travel
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-09-29
Listing for:
Chris Baily
Full Time
position Listed on 2026-09-29
Job specializations:
-
Sales
Business Development
Job Description & How to Apply Below
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
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.
- 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.
- 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.
- 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.
- 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.
The base pay for this position generally is between $ and $. 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.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
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