6 дней назад
Forward Deployed Architect (AI)
175 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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