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Lead Sales Engineer (Data Quality)

160 000 - 180 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
lead
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
Lead Sales Engineer (Data Quality): Owning the technical win for major enterprise data quality deals from discovery through architecture, security review, PoC, and close with an accent on enterprise SaaS sales, customer-facing Python and SQL, and technical enablement. Focus on scoping successful PoCs, answering regulated buyers' security requirements, coaching Sales Engineers, and building reusable demos and deal tools.

Location: Remote for US-based candidates; company workplace is hybrid in Brooklyn, New York.

Base salary: $160,000–$180,000 per year.

Company

hirify.global provides a data quality layer for enterprise customers, helping organizations improve the data that supports AI and business systems.

What you will do

  • Own the technical win for major enterprise deals from the first technical call through architecture review, security review, proof of concept, and closed-won.
  • Scope proofs of concept against customer success criteria and manage the scope through completion.
  • Lead technical and security responses for RFPs, including SOC 2 and information security questions from regulated buyers.
  • Onboard and coach US Sales Engineers, including their first demos and readiness for independent customer work.
  • Run demo coaching and technical deal reviews, providing direct feedback on performance.
  • Build reusable demo environments, PoC templates, and competitive positioning materials.

Requirements

  • 6+ years of experience as a Sales Engineer, Solutions Engineer, or Solutions Architect at a B2B SaaS company.
  • Experience with enterprise deals worth $100K+ ACV, multiple stakeholders, and sales cycles of three months or longer.
  • Experience onboarding, coaching, or mentoring other Sales Engineers.
  • Fluent in Python and SQL, including the ability to read, write, and debug both in front of customers.
  • Strong customer communication skills and the ability to explain complex technical concepts to Data Engineers and CDOs.
  • Must be based in the United States.

Nice to have

  • Experience selling data quality, data governance, or observability tools.
  • Experience selling to regulated industries such as financial services, pharma, energy, or insurance.
  • Familiarity with Snowflake, Databricks, BigQuery, dbt, Airflow, or Kafka.
  • Interest in progressing toward a management role.

Culture & Benefits

  • Direct collaboration with the CRO, Director of Customer Engineering, and product team.
  • High-autonomy environment with shifting priorities and limited existing process.
  • Opportunity to build enablement materials and reusable sales engineering systems.
  • Full-time employees receive equity, PTO, 401(k), and medical insurance.

Hiring process

  • 15-minute phone screen with a founder.
  • Recorded product demo for a hypothetical customer.
  • Deep-dive interview covering a won deal, a lost deal, and PoC scoping.
  • Culture-fit discussion with the team.

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