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Director of Engineering, Measurement
ГибридПолная занятостьEngineering ManagementEnterprise Software
Lead a growing, multi-team engineering organization responsible for measurement systems. Set technical direction, guide delivery and people management, and remain involved in code and production issues. Work from the Jerusalem office at least three days a week, including Mondays and Wednesdays, with
Обязанности
- Lead team leads across a growing measurement engineering organization and own its technical direction, execution, and operational performance.
- Align priorities with product and engineering leadership; clarify changing requests, trade-offs, and delivery implications.
- Resolve cross-team dependencies, unblock decisions, and follow through on outcomes.
- Set expectations for delivery, technical quality, ownership, and people management; oversee hiring, organizational structure, and performance.
- Develop team leads, delegate decision-making, and address performance concerns.
- Balance business priorities with reliability, data correctness, infrastructure cost, and technical debt.
- Stay close to system design, code, debugging, and production issues; ensure systems are reliable, accurate, scalable, and cost-effective.
- Partner with Product on customer outcomes and communicate technical issues to leadership and external partners.
- Use AI in engineering work, develop AI-assisted workflows, and maintain standards for security, privacy, and data quality.
Требования
- 2–3 years managing engineering teams and leads across multiple teams, with accountability for people, delivery, and production systems.
- Experience leading in a fast-growing startup and helping an organization scale.
- Experience hiring and developing leaders, building teams, and making timely talent decisions.
- Strong software engineering background and current ability to read code, review architecture, and investigate production problems.
- Significant experience with big data and data engineering in high-scale production environments.
- Strong understanding of distributed systems, data pipelines, analytical workloads, and operational trade-offs.
- Advanced practical use of AI coding tools, LLMs, and agent-based workflows, including validating their outputs.
- Native-level written and spoken English.
- Ability to work from the Jerusalem office at least three days a week, including Monday and Wednesday; full evening availability.
Будет плюсом
- Experience in marketing measurement, attribution, AdTech, eCommerce analytics, or related areas.
- Familiarity with multi-touch attribution, marketing mix modeling, incrementality, identity resolution, or event tracking.
- Experience partnering with Meta, Google, or TikTok on integrations, measurement, or data partnerships.
- Experience with streaming data systems and analytical databases such as ClickHouse, BigQuery, or Snowflake.
- Experience applying AI to data-intensive products or engineering operations.