Head of Data, AI

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Burq

WebsiteLinkedInAll Job Openings

11 - 50 employees

🛍️ eCommerce

☁️ SaaS

💰 Pre Seed Round on 2021-06

eCommerce • Logistics • SaaS

Burq is a comprehensive delivery platform that enables businesses across various industries, including e-commerce, food, floral, health & wellness, and construction, to offer on-demand delivery services. By integrating with Burq, companies can connect seamlessly with multiple delivery providers, allowing them to scale quickly to new markets and improve customer satisfaction with same-day and efficient delivery options. Burq also provides advanced tracking technology and does not charge commissions, ensuring optimal delivery solutions for businesses. With a focus on easy integration and a broad network of delivery providers, Burq empowers businesses to offer reliable delivery services without the need to build their own infrastructure.

📋 Description

• Own the full data platform — the warehouse, streaming and batch ingestion, the semantic layer, and BI infrastructure. • Define and enforce data governance — access management, quality standards, and a well-modeled, trustworthy "gold" layer. • Make the warehouse the source of truth for operational, product, and financial analytics. • Build the models that power delivery intelligence — forecasting, prediction, optimization, matching/allocation, and reliability scoring that turn our data into better real-time decisions. • Stand up the ML systems that make this real and reliable: feature pipelines, training, serving, evaluation, and drift monitoring. • Design the learning loop — instrument decisions and outcomes so models continuously improve. • Drive the AI agent initiative to production, partnering with product and engineering on the surrounding workflows. • Manage and grow the data and ML team (starting from a small core) — hire data engineers, analytics engineers, and data scientists/ML engineers as the platform matures. • Establish a clear intake process for ad hoc data requests so the team works from a roadmap, not in reactive mode. • Partner with Sales, Customer Success, and Finance on data-driven analyses and decisions.

🎯 Requirements

• 8+ years in data/ML, including 2+ years in a leadership or staff-level role owning a data or ML platform. • Player-coach — you lead a team and still go deep in the technical work: architecture, modeling, and code review. • Strong on both halves of the role: • - Data platform — modern data warehouse design (e.g., Snowflake/BigQuery), streaming + batch ingestion, dbt or equivalent, performance and cost optimization, governance. • - Machine learning — you've built and shipped production models (forecasting, optimization, ranking/matching, or prediction) with real business impact, plus the ML systems around them (feature pipelines, serving, monitoring/MLOps). • Experience building data and ML products, not just pipelines — you understand how data and models serve product and business goals. • Familiarity with modern AI/LLM and agentic data work is a strong plus. • Strong stakeholder management — you can say no to an ad hoc request with a good reason and a better alternative. • Experience at a high-growth startup or scale-up where the platform was built, not inherited.

🏖️ Benefits

• Competitive salary, stock options, and performance-based bonuses • Fully remote • Comprehensive medical, vision, and dental insurance