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3 дня назад

Sales Engineer, Data

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sales Engineer, Data (AI-powered marketing data and identity solutions): Leading technical discovery, solution design, demonstrations, pilots, and data implementations for enterprise brand, agency, and media clients with an accent on privacy, identity, attribution, and data architecture. Focus on translating complex data requirements into business decisions, testing proprietary data assets, and bringing client insights back to Research and Product.

Location: United States; remote-first with travel for client and industry events

Company

hirify.global provides AI-powered consumer data, intelligence, and technology through its Ignite SaaS platform and Data-as-a-Service offerings.

What you will do

  • Lead technical discovery with prospects, covering business problems, data environments, and success metrics.
  • Scope and design solutions, coordinate internal teams, and own technical responses to RFPs and RFIs.
  • Advise senior marketing, insights, and commercial stakeholders on technical requirements and trade-offs.
  • Build and deliver technical presentations and demonstrations covering the platform, data, architecture, methodology, and case studies.
  • Run pilots, proof of concepts, technical data testing, and subsequent data assessment and implementation engagements.
  • Bring client feedback and platform enhancement requests to Research and Product teams.

Requirements

  • Around 5+ years of experience in technical pre-sales, sales engineering, or solutions architecture.
  • Experience with data, identity, or modeling work and a consultative discovery approach.
  • Working knowledge of the adtech, martech, and data ecosystems.
  • Expert knowledge of privacy regulations for first-party data and deep familiarity with data append deliveries, file matching, and match rates.
  • Strong understanding of data lakes, APIs, MCP, PII handling, identity resolution, and downstream activation endpoints.
  • Ability to present and write clearly for senior marketing, insights, and commercial stakeholders while working autonomously.

Nice to have

  • Hands-on experience with Snowflake, AWS, Box, The Trade Desk, Adobe, Google, and Meta.
  • Understanding of data science techniques and modeling best practices.
  • Experience with marketing analytics, data enhancement, marketing automation, syndicated research, or media technology.
  • Knowledge of martech vendors, including DSPs, DMPs, and data providers.
  • Degree in computer science, engineering, statistics, business, or a related field, or equivalent practical experience.

Culture & Benefits

  • Remote-first work with flexibility and intentional in-person collaboration when needed.
  • Opportunity to influence product direction through direct client feedback.
  • Individual contributor role with visible revenue impact and no people-management requirement.
  • Work across varied brand, agency, and media client problems.
  • Competitive 401(k) match, Open PTO, comprehensive employee and family benefits, and uncapped growth potential.
  • Travel opportunities for client and industry events.

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