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3 дня назад

Data Engineer, B2B & GTM (AI)

200 000 - 260 000$
Формат работы
hybrid
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
Data Engineer, B2B & GTM (AI) (SQL/Python, modern data platforms): Building scalable data pipelines, integrations, and models connecting product usage, CRM, billing, sales, and revenue data with an accent on enterprise analytics and data reliability. Focus on designing production-grade ETL/ELT systems, enabling forecasting and customer intelligence, and implementing validation, monitoring, documentation, and governance across business-critical data.

Location: Hybrid role based in the San Francisco Bay Area, United States; three full days per week in the San Francisco office and remaining days remote. Availability during agreed working hours and sufficient overlap with the relevant team's time zone are required.

Base salary: $200,000–$260,000 per year, plus bonus eligibility and equity.

Company

hirify.global develops generative AI video creation and next-generation creative tools, serving more than 30 million users and Fortune 500 brands.

What you will do

  • Design, develop, and maintain scalable pipelines integrating CRM, billing, product analytics, and other business-critical systems.
  • Connect product usage, account activity, sales pipeline, contracts, and revenue data into a consistent B2B customer view.
  • Build documented data models for pipeline analytics, revenue reporting, customer segmentation, retention, and expansion.
  • Partner with Sales, Revenue Operations, Finance, and Product on forecasting, territory planning, account prioritization, sales performance, and revenue attribution.
  • Provide visibility into enterprise product adoption, conversion, engagement, and expansion opportunities.
  • Implement validation, monitoring, documentation, governance, automation, and infrastructure improvements as the business scales.

Requirements

  • 6–8+ years of experience in Data Engineering, Analytics Engineering, or a closely related technical role.
  • Strong SQL and Python skills with experience building production-grade ETL/ELT pipelines.
  • Experience with modern data warehouses such as Snowflake, BigQuery, or Redshift.
  • Hands-on experience with data transformation and orchestration tools such as dbt, Airflow, Dagster, or similar technologies.
  • Experience integrating business systems such as Salesforce, HubSpot, Stripe, or other CRM and billing platforms.
  • Strong understanding of data modeling, data architecture, and data quality best practices.
  • Familiarity with B2B SaaS metrics including ARR, pipeline, conversion, retention, churn, and expansion.
  • Ability to translate ambiguous business requirements into scalable technical solutions.
  • Strong communication skills and experience partnering directly with nontechnical stakeholders.

Culture & Benefits

  • Hybrid work with three office days per week, remote work on the remaining days, and an emphasis on in-person collaboration and active communication.
  • Base salary of $200,000–$260,000, with discretionary annual bonus eligibility and participation in the company stock option program.
  • Medical, dental, and vision insurance, plus a competitive 401(k) plan with company matching.
  • Opportunity to work on ambitious AI products with an experienced, fast-moving, and international team.
  • Significant ownership, direct impact, and professional growth opportunities as the company scales.

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