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3 дня назад

Senior Customer Engineer - LATAM (Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Customer Engineer - LATAM (Analytics): Advising prospects and customers on data architecture, governance, instrumentation, and product analytics implementations with an accent on technical qualification, customised demos, and proof-of-concept delivery. Focus on translating business challenges into measurable outcomes, designing analytics rollouts, and bridging technical requirements with executive-level value discussions.

Location: Mexico City, Mexico (Hybrid)

Company

hirify.global provides a product intelligence and analytics platform used by more than 29,000 companies to understand product usage and make data-informed decisions.

What you will do

  • Advise prospects and customers on data architecture, governance, instrumentation, and business outcomes.
  • Lead technical qualification, customised demos, and executive-level consultations throughout sales cycles.
  • Scope and execute proof-of-concept projects, including data ingestion, architecture, success criteria, and analytics rollout strategies.
  • Partner with Account Executives to support revenue growth and serve as the primary technical contact.
  • Collaborate with post-sales teams to translate pre-sales value propositions into measurable customer results.
  • Collect prospect feedback and share insights with the Product team.

Requirements

  • Fluency in business and conversational Spanish and English.
  • 6+ years of experience in SaaS Sales Engineering or a related role.
  • Experience qualifying and selling technical solutions to executive stakeholders.
  • Experience with data querying, modelling, and transformation using SQL, dbt, Python, business intelligence platforms, or product analytics tools.
  • Familiarity with databases and cloud data warehouses such as Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, or Databricks.
  • Ability to travel as needed, with strong communication, presentation, analytical, process, and project delivery skills.

Nice to have

  • Experience with value engineering frameworks, ROI calculators, quantified business outcomes, and KPI-based executive conversations.
  • Exposure to product-led growth and sales-assisted conversion motions.
  • Experience in high-growth SaaS environments, including Series B–E companies or beyond.

Culture & Benefits

  • Medical, vision, and dental care.
  • Mental wellness benefit and generous vacation policy.
  • Additional company holidays, enhanced parental leave, and volunteer time off.
  • Values focused on bold decisions, data-informed innovation, collaboration, candid communication, customer success, and simplicity.

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