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6 дней назад

Forward Deployed Architect (AI)

175 000 - 225 000$
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
Forward Deployed Architect (AI): Architecting data foundations, identity matching rules, semantic layers, and activation configurations for complex enterprise marketing use cases with an accent on customer discovery, SQL-based data modeling, and AI-agent-directed implementation. Focus on validating generated transformations, defining measurable customer outcomes, and building reusable reference architectures for data activation.

Location: Remote within North America

Salary: $175,000–$225,000 USD per year, plus meaningful equity.

Company

hirify.global provides an agentic marketing platform powered by a composable customer data platform, helping enterprise marketing teams analyze performance, generate creative, and activate campaigns using customer data and AI.

What you will do

  • Run discovery with marketing and data teams to translate business goals into specific customer activation use cases.
  • Profile customer data and design target-state schemas, identity matching rules, and activation-ready data models.
  • Direct AI agents in profiling warehouses, proposing models, and generating transformations; review and correct their output.
  • Define success metrics with customers, calculate results, and communicate outcomes to senior leaders.
  • Remain the technical architect after handoff, supporting data model changes, new sources, and identity graph updates.
  • Build semantic layers, metric definitions, and business logic while communicating product gaps to product teams.

Requirements

  • 5+ years in a customer-facing technical role such as analytics engineering, solutions architecture, forward-deployed engineering, data consulting, or marketing data work.
  • Strong SQL fluency and experience with Snowflake, Databricks, or BigQuery.
  • Understanding of query performance, warehouse cost, data modeling, and data architecture.
  • Experience leading complex engagements, discovery, stakeholder alignment, and implementation planning.
  • Ability to direct AI agents while critically reviewing generated SQL, models, transformations, and business logic.
  • Must be eligible to work in the United States; eligibility is verified after hire through E-Verify and is not used for pre-screening.

Nice to have

  • Experience with dbt, SQLMesh, or similar transformation tooling and git-native, pull-request-driven workflows.
  • Prior experience with identity resolution, customer data platforms, or master data management.

Culture & Benefits

  • Remote-first work policy with location-independent compensation.
  • Opportunity to shape the playbooks, standards, and operating model for a new team.
  • Work alongside an ambitious, impact-driven team that values humility, kindness, and compassion.
  • Meaningful equity in addition to salary.

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