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Solutions Engineer (SaaS Analytics)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
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
Solutions Engineer (SaaS analytics): Developing bespoke demos, proofs of concept, and data trials that connect location intelligence to complex customer business questions with an accent on data analysis, technical validation, and ROI-focused storytelling. Focus on validating data accuracy, shaping technical sales strategies for enterprise accounts, and translating customer requirements into product roadmap improvements.

Location: United States, Remote; travel required 35% of the time for customer meetings.

Annualized total on-target earnings: $140,000–$155,000 USD, including base salary and bonus target.

Company

Location analytics platform providing data on physical locations, markets, and consumer behavior for businesses, governments, and nonprofits.

What you will do

  • Lead bespoke product demonstrations, proofs of concept, and data trials for strategic accounts.
  • Translate discovery findings into ROI-focused narratives for executive and technical stakeholders.
  • Partner with Sales on account planning and technical strategy for high-value opportunities.
  • Validate data accuracy and methodology against customer business environments.
  • Support post-sale enablement so customers can independently achieve and showcase results.
  • Initiate discussions about product features and roadmap improvements.

Requirements

  • Bachelor’s degree.
  • At least 3 years of experience in a sales support role such as Solutions Engineer and in a SaaS company.
  • At least 2 years of data analytics experience using tools such as R, Python, SQL, Tableau, Data Studio, GIS tools, or similar BI platforms.
  • Strong knowledge of statistics and familiarity with data science concepts.
  • At least 2 years of client-facing experience and experience working with cross-functional teams.
  • Strong interpersonal skills and a collaborative working style.

Nice to have

  • Proficiency in multiple data analytics or BI tools.
  • Familiarity with data science language and concepts.

Culture & Benefits

  • Fully remote work environment.
  • Opportunity to contribute to a new market and product direction.
  • Medical, dental, and vision coverage.
  • Flexible time off, 401(k), and equity awards for eligible roles.
  • Collaborative environment with experienced colleagues.

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