обновлено 24 дня назад
Head of Data & AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Data & AI (Data Platform/Machine Learning): Building the data and ML platform that powers smarter delivery decisions, including warehouses, ingestion systems, production models, and AI agents with an accent on forecasting, optimization, matching, governance, and reliability. Focus on designing feature pipelines and model-serving systems, creating continuous learning loops, and leading a data and ML team while remaining hands-on with architecture, modeling, and code review.
Location: Fully remote, open to candidates based in the United States and Canada; a few in-person offsites throughout the year
Company
provides a turnkey delivery solution designed to simplify delivery operations and improve logistics through data and AI.
What you will do
- Own the data platform, including the warehouse, streaming and batch ingestion, semantic layer, and BI infrastructure.
- Define data governance, access management, quality standards, and a trustworthy gold data layer.
- Build and ship forecasting, prediction, optimization, matching, allocation, and reliability models for delivery intelligence.
- Develop feature pipelines, training, serving, evaluation, drift monitoring, and continuous learning loops.
- Drive AI agent initiatives into production in partnership with product and engineering.
- Lead and grow the data and ML team while partnering with engineering, product, Sales, Customer Success, and Finance.
Requirements
- 8+ years of experience in data and ML, including 2+ years in a leadership or staff-level role owning a data or ML platform.
- Hands-on experience with architecture, modeling, code review, and team leadership.
- Experience designing modern data warehouses, streaming and batch ingestion, dbt or equivalent, performance and cost optimization, and governance.
- Experience shipping production machine-learning models and the surrounding MLOps systems, including feature pipelines, serving, and monitoring.
- Experience building data and ML products that serve product and business goals.
- Strong stakeholder management and experience in a high-growth startup or scale-up where the platform was built from the ground up.
Nice to have
- Familiarity with modern AI, LLMs, and agentic data work.
Culture & Benefits
- Fully remote work with a few in-person offsites throughout the year.
- Fast-moving, writing-focused environment that ships early to real customers.
- Emphasis on speed, ownership, experimentation, and continuous iteration.
- Competitive salary, stock options, and performance-based bonuses.
- Comprehensive medical, vision, and dental insurance.
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