2 дня назад
VP, Data Platform & Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP, Data Platform & Engineering (AI): Building a portfolio of secure, contract-driven data products and automated pipelines that move food records from raw input to scored, published output with an accent on data quality, governance, and AI-native engineering. Focus on eliminating deployment bottlenecks, implementing gold certification by code, enabling agent-friendly access through MCPs, and establishing observability and least-privilege security.
Location: United States; Remote
Company
is an AI-native company building a food intelligence platform at the intersection of AI, data, security, and human health.
What you will do
- Build and operate a portfolio of internal data products with authenticated capabilities and clear contracts for domain teams.
- Replace the single-gatekeeper deployment model with a production deployment regime that enables engineers to ship safely and independently.
- Implement medallion architecture, gold certification by code, and separation of pipeline state from food facts.
- Own data security and governance, including least-privilege access, trust boundaries, general availability of key data products, and retirement of ad-hoc database credentials.
- Enable secure access through MCPs and other AI-friendly interfaces, while building automated and agentic workflows.
- Manage data engineering individual contributors and establish observability, entity resolution services, and operational excellence across data practices.
Requirements
- 10+ years of experience in data engineering, data platforms, or infrastructure, including team leadership.
- Experience building data products and teams from zero to one.
- Deep knowledge of data contracts, medallion or equivalent quality architecture, and promotion discipline.
- Strong judgment in data security, least privilege, trust boundaries, and access control.
- Fluency with AI-assisted and agentic engineering as a primary working model.
- Strong SQL and systems thinking across UI, API, database, and infrastructure boundaries; ability to work in an ambiguous, fast-moving startup environment.
Nice to have
- Experience with MCPs, capability layers, or API-first data access patterns.
- Experience with observability tooling and production diagnostics.
- Experience with Postgres, DuckDB, MotherDuck, and cloud infrastructure.
- Experience building internal developer tooling or data-product platforms.
Culture & Benefits
- Ownership of the platform and security foundation for a food intelligence platform.
- Direct collaboration with the CDO on architecture and operations protecting the company’s core asset.
- Competitive compensation and meaningful equity.
- Opportunity to solve problems across AI, data, security, and human health with rapid impact.
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